104
Integrate, Consolidate and Disseminate European Flood Risk Management Research CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM] Prepared by the Joint Project Consortium consisting of Prof. Dr. Mariele Evers (Leuphana University of Lueneburg) (Co-ordinator), Prof. Dr. Čedo Maksimović (Imperial College London), Dr. Andreja Jonoski (UNESCO-IHE Institute for Water Education, Delft) Leonie Lange (Leuphana University of Lueneburg) (Project Manager) Susana Ochoa Rodriguez (Imperial College London) Aklilu Dinkneh Teklesadik (Leuphana University of Lueneburg) Dr. Christos Makropoulos (National Technical University of Athens) Funded by Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung – BMBF) (Germany) (Contract number: 02WH1040) Environment Agency (EA) (England and Wales) (Contract number: PO 30262748) Ministry of Infrastructure and the Environment (Ministerie van Infrastructuur en Milieu) (MinIenM) (Contract number: 31031919) Project Website: www.crue-eranet.net and http://hikm.ihe.nl/cm/ Project Contact: [email protected] 2nd ERA-NET CRUE Research Funding Initiative Flood Resilient Communities – Managing the Consequences of Flooding Final Report

CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

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Page 1: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Integrate, Consolidate

and Disseminate

European Flood Risk

Management Research

CRUE Final Report II-1

Decentralised Integrated Analysis and Enhancement o f Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Prepared by the Joint Project Consortium consisting of Prof. Dr. Mariele Evers (Leuphana University of Lue neburg) (Co-ordinator), Prof. Dr. Čedo Maksimovi ć (Imperial College London), Dr. Andreja Jonoski (UNESCO-IHE Institute for Water Education, Delft) Leonie Lange (Leuphana University of Lueneburg) (Pr oject Manager) Susana Ochoa Rodriguez (Imperial College London) Aklilu Dinkneh Teklesadik (Leuphana University of L ueneburg) Dr. Christos Makropoulos (National Technical Univer sity of Athens) Funded by Federal Ministry of Education and Research (Bundesm inisterium für Bildung und Forschung – BMBF) (Germany) (Contract number: 02WH1 040) Environment Agency (EA) (England and Wales) (Contra ct number: PO 30262748) Ministry of Infrastructure and the Environment (Min isterie van Infrastructuur en Milieu) (MinIenM) (Contract number: 31031919)

Project Website: www.crue-eranet.net and http://hikm.ihe.nl/cm/ Project Contact: [email protected]

2nd ERA-NET CRUE Research Funding Initiative Flood Resilient Communities – Managing the Conseque nces of Flooding

Final Report

Page 2: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

II

© 2011 CRUAll rights res

Second Econseque CRUE Fina This report Research. Wappropriate herein are trespective F The intent having an inSecond CRand stakehopublic by wa This publicallowed onlyEvers, M., MakropouloCollaborativ Researche Prof. Dr. MRodriguez (2

(1)

Leuphana U

evers@uni.(2)

Imperial Co

c.maksimov(3)

UNESCO-IH

a.jonoski@u(4)

National Te

cmakro@ch In submittiform. Published

UE Funding served.

Era-Net CRences of flo

l Report

was preparWhile reasonand valid it

those of the Funding bod

of the reseanterest in floRUE Fundinolders at all lay of the CR

ation is suby with full citaMaksimović

os, C., 201ve Modelling

er’s Contac

ariele Evers2), Aklilu Dink

University of Lu

leuphana.deollege London,

vic@imperialHE Delft, Depar

unesco-ihe.oechnical Unive

hi.civil.ntua.g

ng this repo

in Septemb

ERA-NET

2ND CRUE F

DIANE-CM

Initiative on

RUE Fundiooding

red with thenable care hhas to be cauthors and

ies involved.

arch reports ood risk manng Initiative levels, resea

RUE website

bject to copation as folloć, Č., Jonos1: Decentraand Manage

ct Details

(1), Prof. Čedkneh Teklesa

ueneburg, Inst

e, llange@un, Departmentof

l.ac.uk rtmentof Hydro

org rsity of Athens

gr

ort, the rese

er2011

CRUE is fundeGeneral Dire

C

FUNDING INITI

Flood Resilie

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ing Initiati

e support ofhas been takconsidered thd most not n

is to providagement. Thon Flood R

arch funding (http://www

yright, but wows: ski, A., Lan

alised Integrement of Flo

do Maksimovadik (1), Dr. C

titute of Sustain

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oinformatics a

s,School of Civ

earchers ha

ed by the ERA-ectorate for ReContract numb

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DISCLAIMER

ve: Flood

f the CRUE ken in preparhat the viewsecessarily e

e relevant inhe results anResilient Cobodies, univ

w.crue-erane

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nge, L., Ocrated Analysod Risk [DIA

vić(2), Dr. AnChristos Mak

nable Governa

de ironmental Eng

nd Knowledge

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ave agreed t

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mination is e

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ANE-CM]. CR

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ance(Germany)

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NT COMMUNIT

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and to stimuns of all repare made avustries, pract

encouraged.C

uez, S., Dinhancement

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Page 3: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

CRUE

DecentAwarenof FlooTheproject

ERA-Net Carea of Eurextensive cand policiesintroduced. The secondConsequenintroduced seven joint issues relatfunded with

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E Finatralisedness th

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CRUE FUNDI

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Analysorative

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ument.

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Page 4: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

IV

Sum Summary M

In order to rpotential flocapacity buFlood risk itarget-groupCollaborativIt also assisactions in floCollaborativcommunicacollaborativworkshops possibilitiesAwareness concept of CFurthermoreable to ranobjectives a What the re This report to reduce ustudy areasThe findingsmethods apLessons leaThe report interest for Furthermorethe implemparticipation Aims/Objec We have faapparent thmake such achieved. Dand also apneed to be in both “veprofessionaamong prof

mary

Message

reduce urbanood risk andilding. is a complexp-specific anve modellingsts improvedood risk manve modellingtion activitiee platform. Tand the int

s are implemthrough Co

Collaborativee a Collabor

nk alternativeand negotiate

eport is abo

describes thurban flood vs is given in os and results

pplied to meearnt and impl

includes poDIANE-CM ae, informatio

mentation of n and restrict

ctives

aced an inchat an integr

a statementDespite signipproaches oresearched

ertical” links al bodies (cofessionals wh

2ND CRUE F

DIANE-CM

for D

n flood vulned increase th

x and abstrad localised k supports re

d vertical andnagement. g is an intees are constaThe communteractive wemented. In ollaborative eModelling wrative Modeles against te these with

out and why

e objectives vulnerability. order to provs of the diffeet the goals olications for solicy recommand ERANET

on is given onthe Floods

tions for proj

crease in flooated approat but it is uncificant progref governanceand tested b(interaction

ouncils) andhich lack the

FUNDING INITI

Decisi

erability it is cheir capacity

act issue anknowledge isduction of co

d horizontal i

eractive andantly complenication proceb platform

the project Modelling a

was developeling Exerciseheir own indthe other me

the work is

of the DIANA concise d

vide a good oerent workingof the projectstakeholdersmendations T CRUE. n the overarcs Directive, ect result im

od events aach is crucialclear what sess in all ase and coopebefore beingns) betweend local comme proper mult

IATIVE ON FLO

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crucial that sy to handle f

nd therefore s needed. omplexity, mnteractions w

iterative premented by cess is a muwhere all reDecentralis

nd Managemed and testee was develodividual prefembers of the

s important

E-CM projecdescription ofoverview andg steps are dt are listed. s are illustratebecause the

ching goals oharmonisatiplementation

and related fl in the contuch an integ

spects of flooeration there implemente the governmunities (“retidisciplinary

OOD RESILIEN

Makers

stakeholders flood risk. L

difficult to c

mutual learninwhich are ne

rocess in wmodelling atual processelevant infor

sed Integratement of Floed in two caoped and impferences rege (virtual) gro

ct and why thf the method

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of the seconon of floodn.

flood damagext of flood

grated approod risk manae are still mised full scale. nmental andeceptors”) as

exchange. T

NT COMMUNIT

s

and citizensearning proc

cope with. T

ng and coopeeded for coo

which stakehand communs assisted byrmation is ded ANalysisod Risk (DIse study areplemented ingarding the oup.

hese objectivds used and eplication/aphe working s

tation of pro

nd ERANET risk mana

ge in Europerisk manage

oach encompagement, sussing links aThese miss

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Tangible info

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CRUE initiatgement with

ein recent dement. It mapasses and huch as technand weak elesing elementnstitutions a

n “horizontal”ch used in th

ore aware ofessential for

rmation and

sion making.nd integrated

gement ands, such as aface-to-face

nd feedbackancement ofe innovativend Germany.eholders areof identified

ntial in orderhe two case

other areas. cted and the

is of great

tive, such ashin the EU,

decades. It iay be easy thow it can b

nical solutionements whics are presen

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M

Page 5: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

project aimsimprovemen This project- To develmanagemenwill assist th- Enhancingapproach in- Developinselected ca

In the UK curban pluviathe sewer nand at smacarried out wIn the Germapproach foon fluvial flopartly invesThe two difaspects areavailable inf The study rmanagemenparticular thand shared The DIANEfloods beca

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s at filling sont of risk awa

t was based op and testnt options fohe local comg flood risk

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case study aal/surface flonetwork and ll temporal awith avery sh

man case stuor stakeholdeoods and mtigated. fferent approe crucial eleformation an

esults are esnt. The resu

he project cadecision ma-CM project

ause they sho

CRUE FUNDI

ome of the gareness and

on the followt an advancor adaptationmunities in mawareness

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Figure

area (small cooding. Pluviof the surfac

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aking in orderesults are a

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ING INITIATIVE

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e 1: Overview of

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Page 6: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

VI

level. For iimplications

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ossible measgreat interest

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Page 7: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

The projectfederal stateEspecially iareas;thesevisualisation Implication Within the group, suchfurther in th DIANE-CM by floods. collaborativflood reductfor flood riskThe establisof the FloodIn Hamburgschool whicschools. Due to increbeen enhanThe followin

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t activities ce authority oimportant ar

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increased thAt the same modelling tion and thek managemeshed stakehods Directive. g (German cch is located

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CRUE FUNDI

created better federal stat

re the estabe through a ctive modellin

holders

project a coons, legal fra

he awarenesme time, pro

process andir effects. Thent. olders group

case study ad in a flood

risk awarenewill probably

om DIANE-C

the direct ex

een sensitize

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ormation, the. knowledge frata and infoood risk reduterm / permant.

o-face commn and interacform ofmodeeness and ca

ING INITIATIVE

er horizontate authority alished stakemutual learnng exercises

ollaborative pameworks, s

ss of flood risoject participd activities. The social lea

ps can and w

area) a teacrisk area. T

ess the comy be a better M project pa

xperience ex

ed. Thus the use

ide the ‚admiand limitation

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rom stakeholormation basuction. anent structu

munication anctive web-baels and platfoapacity buildi

E ON FLOOD R

al and verticand fire brigaeholder grouning processs.

platform withspecific cond

sk on the parpants went

They know abrning proces

will most prob

hing lesson The teaching

munities’ reschance of re

articipants ma

change of di

understandid for future a

inistrative ro

nsof flood pro

ct results we

n-making pr

lders and citisis forcurren

ures for part

nd exchangeased tools foorms for illusng for flood r

RESILIENT CO

cal cooperatade). ps for flood s, supported

h flood-relateditions etc. w

rt of stakeholthrough a s

bout the currss is an impo

bably be inte

for schools g material c

silience in thealising integay illustrate s

ifferent peop

ing for affectactivities”

utine’ and exotection was

e can formula

rocess and

izens in yournt flood risk

ticipation an

e, use tools for communicstration and vrisk manage

OMMUNITIES DIANE-CM

ion (e.g. dis

risk managby improve

ed informatiowas develop

ders and citisocial learnrent flood riskortant step to

egrated in th

was develocan also be

he case studyrative flood rsome implica

le with differe

ted residents

xchanging exgood”

ate following

your deci

r decision-maand broade

d social lear

for transparecation, coopvisualisationment.

strict admini

ementin theed data and

on tailored tped, which c

izens potentiing processk, potential mowards capa

e further imp

oped and apused gener

y areas and risk measureations for sta

rent backgrou

s increased a

xperiences, p

g recommen

sions trans

aking procesen the pool

rning proces

ent and inforeration and is helpful fo

VII

stration and

e case studyinformation,

to the targetcan be used

ially affecteds during themeasures foracity building

plementation

pplied in oneally in other

beyond hases. akeholders:

unds”

and could be

possibilities

ndations for

sparent and

ss in order toof potential

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rmative floodnegotiation.

or enhancing

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Page 8: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

VIII

Idenflootrus

Estall a

ntify and traiod risk manast amongthe ablish a comadministrativ

2ND CRUE F

DIANE-CM

in local chamagement proinvolved per

mmon data bve bodies.

FUNDING INITI

mpions as coocesses in orsons. base for flood

IATIVE ON FLO

ompetent andorder to build

d related dat

OOD RESILIEN

d permanentd up sustain

ta and inform

NT COMMUNIT

t contact pernable commu

mation; this s

TIES

rsons and munication str

should be ac

moderators inructures and

ccessible for

n d

r

Page 9: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Cont1  Introdu2  Object3  Metho

3.1  S3.1.1 Field o3.1.2 Input aExpecAssesScale Degre3.1.3 

3.2  E3.2.1 Field o3.2.2 Input aExpecAssesScale Degre3.2.3 

3.3  O3.3.1 Field o3.3.2 Input aExpecAssesScale Degre3.3.3 

3.4  W3.4.1 Field o3.4.2 Input aExpecAssesScale Degre3.4.3 

3.5  D3.5.1 Field o3.5.2 Input aExpecAssesScale

2ND

tents uction ..........tives ............

odology .........Stakeholder A

Context anof Application

How to apand Resourccted results ..ssment of Re

of Applicatioee of impleme

Example ..Expert Interv

Context anof Application

How to apand Resourccted results ..ssment of Re

of Applicatioee of impleme

Example ..Organigrams

Context anof Application

How to apand Resourccted results ..ssment of Re

of Applicatioee of impleme

Example ..Workshops ..

Context anof Application

How to apand Resourccted results ..ssment of Re

of Applicatioee of impleme

Example ..Dual Drainag

Context anof Application

How to apand Resourccted results ..ssment of Re

of Applicatio

D CRUE FUND

....................

....................

....................Analysis ......nd Aim of Men ..................

pply the methces ...................................

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views ............nd Aim of Men ..................

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pply the methces ...................................

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pply the methces ...................................

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DING INITIATIV

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X

Degre3.5.3 

3.6  13.6.1 Field o3.6.2 Input aExpecAssesScale Degre3.6.3 

3.7  13.7.1 Field o3.7.2 Input aExpecAssesScale Degre3.7.3 

3.8  U3.8.1 Field o3.8.2 Input aExpecAssesScale Degre3.8.3 

3.9  F3.9.1 3.9.2 Input aExpecAssesScale Degre3.9.3 

3.10  C3.10.1Field o3.10.2Input aExpecAssesScale Degre3.10.3

3.11  E3.11.1Field o3.11.2

ee of implemeExample ..

1D surface ruContext an

of ApplicationHow to ap

and Resourccted results ..ssment of Re

of Applicatioee of impleme

Example ..1D River Mod

Context anof Application

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of applicatioee of Impleme

Example ..Urban pluvia

Context anof Application

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of Applicatioee of impleme

Example ..Flood Hazard

Context anHow to ap

and resourcected Results .ssment of the

of applicatioee of impleme

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of Application2  How to and Resourccted results ..ssment of Re

of Applicatioee of impleme3  ExamplE-learning pl  Context

of Application2  How to

2ND CRUE F

DIANE-CM

entation ...........................unoff modellind Aim of Men ..................

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FUNDING INITI

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IATIVE ON FLO

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Page 11: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Input aExpecAssesScale Degre3.11.3

4  Case s4.1  A

4.1.1 4.1.2 4.1.3 

4.2  C4.2.1 4.2.2 4.2.3 

5  ResultSpecifLessoSpecifLessoSpecifLessoSpecifLessoSpecifLesso

6  Contri6.1  C6.2  P6.3  H6.4  R6.5  E

7  Implica8  Policy

8.1.1 8.1.2 8.1.3 

List of figList of tabTerms anGlossaryTable of

2ND

and Resourccted results ..ssment of Re

of Applicatioee of impleme3  Examplstudies ........Alster, Germa

Main CharLevel of stCRUE Act

Cranbrook caMain CharLevel of stCRUE Act

ts and discusfic Outcomesns Learned .fic Outcomesns Learned .fic Outcomesns Learned .fic Outcomesns Learned .fic Outcomesns Learned .bution of theConnection toParticipation .HarmonisatioRestrictions ..Enhancemenations for starecommend

Recomme“Small” ca“Larger” ca

gures ............bles .............nd Definitiony of Acronymproject inform

D CRUE FUND

ces ...................................

esults ...........on ................entation .......le .....................................any .............racteristics ..takeholder Intivities ..........atchment, Unracteristics ..takeholder Intivities ..........ssion ...........s ......................................s ......................................s ......................................s ......................................s ......................................

e project to tho the Floods....................on ....................................nt of Resilienakeholders ..dations (Natioendations for atchments ....atchments ...........................................s .................s and Abbremation .........

DING INITIATIV

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OMMUNITIES DIANE-CM

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............. A 

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Page 12: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

1 In

Crucial aspbuilding of bmanagemenlinks and weof these parThese deficregional ins“horizontal” collaboratiothe missing The main cas an interaconstantly cplatform. This procescatchment) the capacityassistance vulnerabilitya public dia In the contedefinitions s Resilience In the DIANproject: Theeffect of rearesponses treconfiguratflooding of types. One of the use by the sscientific ac

2ND

ntrod

pects of increboth, stakehnt. Despite seak elementrts of an inteciencies can stitutions and

interactionson. The appro

links by focuoncept empl

active and itecomplemente

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y of stakeholof compute

y analyses alogue, thus c

ext of DIANEshow how the

NE-CM projee ability of aalised hazarto flooding. Ttion, and dea part of the

key objectivestakeholderschievements

D CRUE FUND

uctio

easing resilieolders and tsignificant prts which neegrated appro be observed the local ps among prooach used inusing on the loyedin the Derative proceed by mode

borative modited Kingdomlders to betteer tools. Thend improvedcontributing t

-CM the termese terms ar

ect the term a system/comrds (FLOODsThis conceptefines resiliee area cause

es of the pros in raising th

that will ass

DING INITIATIV

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oject is to devheir capacitysist the loca

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her researche

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which lack th-CM project ant of risk awaproject is colstakeholdermmunication

eing carried ok catchmenflood risk by

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e” and “commd and used w

is used in linciety/defenceWatson et ales all three tyability of a

k discharge.

velop furthery to reduce fll communitie

RESILIENT C

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out in two t). The DIAN

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munity” are owithin DIANE

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OMMUNITIES DIANE-CM

areness, knonated and int

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definition giv and recove

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ct has dealt w

nd customisebility. This mg informed d

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portance. Th

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mental and well as in

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any (Alster o enhance nd with the azard and d to initiate flooding.

e following

LOODsite damaging and social ration and ation after ese three

e for direct eveloping proved by

Page 13: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

2

vertical (toinnovative tIn terms of respective ccontext. For more dplease see

Community In general, municipalityare concernDIANE-CM concrete flopresent theand reducecommunity informationaevents. Theand also toproject outpChapter 5 cIn the UK ccomprised aLondon BorIn the Germcitizens andmunicipalitieinteractionsbe involved

p-down andools for collaresilience thcase study a

detailed descchapter 6.5 “

communitiesy. The citizenned.

focused onood related am in an easy

ed uncertainshould hav

and be an aese persons ao provide tecputs. characterisesase study (Ras the citizenrough of Redman case stud other stakes in the Als

s within the Ain the DIAN

2ND CRUE F

DIANE-CM

d bottom-upaborative mohe DIANE-CMareas and de

cription of th“Enhanceme

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n local commctions and my-to-understaty as a me

ve local flooactive partneare expected

chnical suppo

s these local Redbridge) thns and otherdbridge situatudy (Alster Ckeholders in ster catchmeAlster and RoE-CM projec

FUNDING INITI

p) and horizodelling and tM project inceveloped me

he supportinent of Resilie

cterised by tesented by th

munities on measures. Thand visual foeans of assiod professioer in both md to guaranteort to the loc

champions ahe project der stakeholderted on the no

Catchment) tthe catchme

ent in the neoding urban ct.

IATIVE ON FLO

zontal (intertheir implemecreased mainethods and t

ng activities ence” and cha

the citizens ohe respectiv

a municipahe project aimrm. We thussting decisioonals capab

mitigation plaee a sustainacal professio

and describeealt with locars of the Craortheast partthe communent area of

eighbouring Lcatchments,

OOD RESILIEN

rdisciplinary) entation in twnly the resisttools for rep

and results apter 7 “Imp

of a given ae stakeholde

ality level sinms to “demysdeal with “c

on-making pble of transfanning and eable implemeonal organisa

es the procesal (pluvial flooanbrook catct of Greater Lity is definedthe Alster R

Land of Schl, both local a

NT COMMUNIT

interactionswo selected ctance and ca

plication in ot

regarding tlications for s

area, such asers as far as

nce this is tstify” the scieustomisationprocesses. Aferring top-demergency mentation of thations in the

ss by which toding) thus thment, whicLondon. d at a larger River in the leswig-Holsteand regional

TIES

s and by pcase studiesapacity buildther commun

he resiliencestakeholders

s a river bass the project

the relevantentific innovan” of data, infAdditionally, down and bmanagemenhe project de further upta

they were idethe communh is located

scale. It incCity of Hamein. Given thstakeholder

promoting s. ding in the nities and

e aspects s”.

sin and/or t activities

t level for ations and formation, the local

bottom-up nt of flood eliverables ake of the

entified. ity can be within the

cluded the mburg and he mutual rs need to

Page 14: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

2 OThe increasfor a more iis unclear wIn an attemacquisition warning, enwith socio-ethese aspecin managemlevel are mevents.In agovernmentTo improve throughout communitieCRUE fundachieved by1. Improvem

pluvial floa way tha

2. Introductifrom hazcan be us

3. Increase decision m

4. Testing th(in Germmanagem

5. Identificattheselessacross amanagem

6. Identificatand in the

7. Disseminby meansboth even

Based on tfollows:

1. Collainte

2. Collalear

After testingdeliverablesmodelling athedevelope

2ND

Object

se in the numntegrated ap

what such anmpt to reach

and procesnhancement/economical cts still posesment of urbaissing. This addition, furtal institutionsuch interacthe DIANEs to floodinging initiative.y fulfilling thement of floodooding. This at can be undion of innovaard and vulnsed to initiateof local commaking as whe approach

many and thment plans cation of lesso

sons can bea range of ment. tion of require post-projec

nation of the s ofan e-leant managemthese object

aborative modegrated floodaborative morning. g these hyps were madapproach inedtoolsis ess

D CRUE FUND

tives

mber of floodpproach to flo integrated a

h an integratssing, spatia/retrofitting ofissues and s a major ch

an pluvial floois a key misrther progrens at differenctions, a colla-CM project. This is not .This main p

e following ded models aniscompleme

derstood by tative methodnerability anae a public dia

mmunity partiwell as increahes and toolshe UK) andan be encouons learned applied to flood risk

rements andct uptake andresults amonrning platforent and longtives the cen

delling can e risk managedelling incre

potheses in tde publicallyn other comsential.

DING INITIATIV

d events andood risk manapproach encted approac

al informatiof flood defengovernance allenge for inods where bsing link in b

ess is requnt levels andaborative mot, with the fonly the ultimroject goal (etailed objecnd near realented by impthe general pds of risk qualysesresult alogue for mocipation in flo

ased public insdeveloped

d determininraged and imregarding risimprove themanageme

d potential bad disseminatngst the partrm and by mg term plannintral hypothe

effectively coement.

eases resilien

the project fy available.

mmunities ac

VE ON FLOOD

the associatnagement. It compasses ach, technical on managemnce systems

approachesntegrated flo

both appropriboth proper puired to enhd “horizontalodelling apprfinal aim bemate goal of i.e. enhance

ctives: time flood rovedpredictpublicand tak

uantification ain risk quanore informedood risk mannvolvement inor customiseg how part

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ent activities

arriers for sution. ticipants in th

making the reng. eses of the

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RESILIENT C

ted damage may be eas

and how it caissues suc

ment, modell, and contros. However, od risk manaiate technoloplanning, prehance both ” interactionroach was deeing to enhthe DIANE-C

ement of resi

forecast in tion and visuken-up by prand commun

ntification andd and sharednagement thn flood risk med in the proticipation in a feature of “cation in locss of comm

s, including

uccessful col

he case studesults availa

DIANE-CM

nical and soc

communities

ses, generahis enables

pe and arou

OMMUNITIES DIANE-CM

in recent dey to make su

an be achievh as catchmling, real timl are increasthe benefic

agement.Thiogies skilled ediction and

“vertical” s between developed, imance the reCM project, blience of the

urban areasual representrofessionals anication aimdhow the vis decision marough collab

managementoject in two s

the establisgood governal communitunication witmapping,

laborative m

dies and otheble for broad

project coul

cial/participat

s to flooding

al conclusion replication

und the wo

ecades in Euuch a statem

ved.. ment monitorme forecastsingly being cial combinats is speciallyprofessionamanagemeninteractions different stak

mplemented aesilience of but also of th local comm

s prone to fltation of the and local chaing to clarifysually improvaking. borative modt. selected casshment of fnance”. ties. Determth the generplanning, a

modelling in th

er potential ader impleme

ld be summ

tory issues to

g by support

ns are drawnof the col

rld, customi

3

rope calls ment, but it

ring, data ing, early combined tion of all y the case ls at local nt of flood

between keholders. and tested

the local he second unities) is

luvial and results in

ampions yhow data ved maps

elling and

se studies flood risk

ining how ral public, nd event

he project

audiences entation in

marised as

o improve

ting social

n and the laborative ization of

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4

To this endpractical issThese recosub-dividedand “larger”

d, policy recosues relatedommendation into genera

” catchments

2ND CRUE F

DIANE-CM

ommendation to the colla

ns are basedal recommens (8.1.3).

FUNDING INITI

ns will be praborative mod on the expndations (8.1

IATIVE ON FLO

resented whiodelling apprperience gat1.1) and rec

OOD RESILIEN

ich include droach implemthered duringommendatio

NT COMMUNIT

data, policy mmented in thg the DIANE

ons for “sma

TIES

making, sciehe DIANE-CME-CM projecall” catchmen

entific and M project. ct and are nts (8.1.2)

Page 16: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

3 MThis chapteThe central engineeringin the projec

3.1

3.1.1 Stakeholderis to uninfluencing/project consupported th

Field of

Participation STA is a managemen

Socialscds:

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2ND

Metho

er provides amethod of t

g and social sct and fed int

Stakeh

Contex

r Analyses anderstand affectingstaktributed to she process o

Applicat

n, Risk Gove

method usent, participa

ciencemeth

keholderana(3.1)

ert rviews (3.2)ani- Sociogram

kshops (3.4

D CRUE FUND

Figure 3: Ov

odolog

n overview othe whole proscience, thusto the collab

holder

t and Aim

are used in va specific

keholders in setting-up coof identifying

tion

ernance

ed in differetory researc

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al

)

4)

E-

DING INITIATIV

verview of the m

gy

ofthe methodoject was cos a variety oorative mode

Analys

m of Met

various contec system

a case stuontext-specifthe local cha

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VE ON FLOOD

methods applied

ds that were aollaborative mf methods frelling approa

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udy area. In fic collaboratampions.

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RESILIENT C

in the DIANE-C

applied in themodelling. Throm different ach.

erarching aimtifying andaddition to

tive platform

g. business ent) to unde

m (3.11)

ve g

OMMUNITIES DIANE-CM

CM project

e DIANE-CMhis method dscientific ba

m of a staked categoris

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managemenerstand a sy

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(3.- Ur

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5

nput from were used

ysis (STA) ted and

DIANE-CM ocess and

resources cluding its

ds: ge .5) un-off .6)

delling

al flood )

d 9)

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6

complexity system (cf. Depending cases, it mCarroll/Buchstakeholderof patterns 1999). In the DIAN

3.1.2

Input an

tThe input ainformation regardless oto be surveyA STA costs

Expecte

One of the stakeholderaccording tencompass

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Scale of

Regarding tthe kind of STA.

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Due to the v(e.g. scientidegree depthe resource

and specificRamírez 199on what is n

might be suffhholtz 2006)rs and to sta

and contex

NE-CM projec

How to

nd Resou

and resourceabout the

of the level oyed to achievs time and th

ed result

main resultsrs. Furthermto their role ses interrelati

ment of R

of a STA ars’ feedback o

f Applica

the spatial scinformation

of imple

variety of costs, administ

pends on the es (e.g. time

2ND CRUE F

DIANE-CM

c problems –99). eeded for th

ficient to ide, but often thkeholders’ stxts of intera

ct the latter p

apply th

urces

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of detail of thve the objecthe level of de

s

s of a STA ismore, a STA

and relevanions of the id

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re often starton the group

ation

cale, STA coneeded. Th

mentatio

ntexts in whtration, planncomplexity

e and access

FUNDING INITI

– by identifyi

e project in qentify and cahis is insuffictakeholders ction betwee

process has b

he metho

to conduct a and (close

he STA. Furttives of the petail possible

s a stakeholdA (normally)nce for the dentified stak

ting point for composition

ould be appliee more com

on

ich a STA coning offices, of the topic d to informatio

IATIVE ON FLO

ing key acto

question, theategorise relcient and neg(cf. Friedmaen stakehold

been defined

od

STA vary, d) contact (inthermore, theproject has toe is often rest

der list that gprovides a project in q

keholders, ar

participatory.

ed at diversemplex the cas

ould be applbusiness). Hdealt with anon/data) ava

OOD RESILIEN

ors, and asse

e STA could evant stakehglects interren/Miles 2006ders often b

d as anappro

epending onn particular)e kind of stao be clarifiedtricted by the

gives an ovecategorisatio

question. An re so-called s

y processes.

e levels depese study is,

ied, diverse However, whnd on the acailable.

NT COMMUNIT

essing their

be more or lholders(cf. F

elations and n6). In other wbecomes ne

opriatemetho

n the project ) to key stakeholder info for every ST

e available re

erview over on of the id

additional osociograms (

. Thus, they

ending on thethe more tim

potential useo could applcessibleinfor

TIES

specific issu

ess complexFerrell et al. networks bet

words the idecessary (cf.

od (cf. 3.3).

in question. Aakeholders iormation whTA. esources.

affected anddentified staoutcome of (cf. 3.3).

are best ass

e topic addreme is require

ers could bey an STA anrmation, as w

ues in the

x. In some 2008and

tween the entification Ramírez

Access to s crucial, ich needs

d affecting keholders STA that

sessed by

essed and ed for the

identified nd to what well as on

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3.1.3 For the DIA

- Bra- Iden- Cla- Cat

The startingnarrowed dwas based clarification going exchaIn a final srelevance fo

3.2

3.2.1 Expert interoverarchingfield under i

Field of

Participation Expert intepeople invoexpert interv(1) Identifica(2) Develop(3) Conduct(4) Analysis

3.2.2

Input an

The first steattention shstudy of thcompetencinumber of in

2ND

Exampl

ANE-CM projeainstorming ntification of rification of ttegorisation g point was own accordiuponan iteof the given

ange with stastep, the ideor DIANE-CM

Expert

Contex

rviews are a g aim is to uinvestigation

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n, Risk gove

rviews are aolved in the iview could bation of expe

pment of a sution of the ints of the data

How to

nd Resou

ep towards ahould also bhe problem es with regnterviews co

D CRUE FUND

le

ect the STA

affected andthe given fram

a brainstorng to the carative identifn frameworkakeholders aentified stakeM.

t Interv

t and Aim

specific typunderstand a (cf. Gläser/L

tion

rnance

a common issue under

be summariseerts uitable and fleterviews collected

apply th

urces

a successful e paid to thof interest.

ard to intervonducted the

DING INITIATIV

was applied

d affecting stmework and

rming sessiose study arefication of a

k and local pand documeneholders we

views

m of Met

e of qualitatan issue by qLaudel 2009

method in qinvestigation

ed asthe follo

exible intervi

he metho

expert intere developme. Both are view conducwhole proce

VE ON FLOOD

as follows:

takeholderslocal precon

on to collect eas in Germaaffected and preconditionsnt analyses. ere placed in

thod

tive manual-bquestioning ).

qualitative ren (cf. Gläserowing import

iew manual

od

rview is to ident of the incrucial for

ction and daess might be

RESILIENT C

nditions in the

initial ideasany and the

affecting sts. Both were

nto categorie

based interv“experts” wh

esearch for r/Laudel 200tant steps:

entify suitabnterview man

the conducata analysis

(very) time-c

OMMUNITIES DIANE-CM

e case study

s. This broaUK. The nartakeholders

e conducted

es which ref

view (cf. Lamho have spe

accessing s9). The proc

bly qualified enual and to ct of the in

are requireconsuming.

y areas

d overview rrowing-dowas well as in the form

flected their

mnek 2002). ecial knowled

specific knowcess of cond

experts. Conan intensive

nterview. Fud. Dependin

7

was later n process upon the of an on-

rolesand

The main dge in the

wledge of ducting an

nsiderable e previous rthermore

ng on the

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8

Expecte

The resultsHowever, ththeir expertproblem of the data ana

Assessm

The results Their succe

Scale of

Expert interon the topic

Degree

It could be for this migh

3.2.3 In the DIANand to analythe expert iDuring the for exampleconcerns anThe questiothe analysis

3.3

3.3.1 Organigramstakeholderinterrelationthe stakeho

Field of

Participation

ed result

of expert inhe quality of tise in the iinterest and/alysis.

ment of R

are best assessful applica

f Applica

rviews are noc under inves

of imple

expected thaht be the req

Exampl

NE-CM projeyse the interinterviews winterviews th

e about coopnd interests. ons were ders process, th

Orga

Contex

ms and sor analyses. Tns between aolders’ netwo

Applicat

n, Risk gove

2ND CRUE F

DIANE-CM

s

nterviews arthe results dssue at han/or the comp

Results

sessed by theation depend

ation

ot bound to stigation and

mentatio

at expert inteuired intensi

le

ct expert intrrelations bet

was an intervhe interview

peration and

rived from the interviews

nigram

t and Aim

ociograms Their main aaffected and

ork (like poten

tion

rnance

FUNDING INITI

e specific knepends on s

nd, the preppetencies of

e increase inds on the usa

any particulathe expert in

on

erviews are ive preparati

erviews wertween the st

view manualees werequeconflict pote

he objectiveswere record

ms and

m of Met

could be aim is to ided affecting stntial conflict)

IATIVE ON FLO

nowledge anseveral factorparation of tthe research

n understandability of the k

ar spatial scn the field.

preliminarilyon, realisatio

e conductedtakeholders b, which wasestioned abo

ential, about

s of the DIANded and trans

Sociog

thod

associated entify and vistakeholders. can be anal

OOD RESILIEN

nd an underrs, for examphe interviewher who cond

ding of the toknowledge c

cale. Their sc

y conducted on and post p

d in order to by drawing sused in a f

out their intetheir role in

NE-CM projescribed.

grams

with sualise

Thus, lysed.

Fig

NT COMMUNIT

rstanding of ple on the int

ws through pductsthe inte

pic under invollected.

cale of applic

by (social) sprocessing.

complete stsociograms (flexible way eractions witFRM as wel

ect and from

gure 4: Rainbow

TIES

the issue adterviewed exprevious stuerview and c

vestigation.

cation depen

scientists. On

akeholder in(cf. 3.3). Theduring the inth other stakl as their pe

the STA. To

w diagram (GTZ

ddressed. xperts and dy of the

carries out

nds rather

ne reason

nformation e basis for nterviews. keholders, rceptions,

o facilitate

(n.s.): 15)

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Organi- andinterrelationclear classifThe kind ofare, for exa

3.3.2

Input an

The most imlist with capreparatory

Expecte

The main reThe qualitystakeholder

Assessm

A clearly arIf this prerresponsibilitaccomplishm

Scale of

With regardscales, as tnumber of ssuccessful a

Degree

Organigrampreparatorystakeholderare probabl

3.3.3 In the DIANinterrelationSTA and the

2ND

d sociogramsns. Helpful tofication of thef interrelationmple, conflic

How to

nd Resou

mportant inpategorised a

y steps are tim

ed result

esult is the oy of the rers, as well as

ment of R

rranged illustrequisite is ties and iment of parti

f Applica

d to the spatthe number ostakeholdersapplication o

of imple

ms and socy work (identrs will have ty the main u

Exampl

NE-CM projens between te conducted

D CRUE FUND

s provide insools for visuae stakeholdens mapped dct potential a

apply th

urces

uts for the daffected andme-consumin

s

organigram aesult depens expert inter

Results

tration is crucfulfilled, or

interactions icipatory proc

ation

tial scale, orof stakehold who need to

of the method

mentatio

iograms couification andthe resourcesers.

le

ect two orgathe stakehold expert interv

DING INITIATIV

ights in interalisation are ers. depends on nd/or allianc

he metho

evelopment d affecting ng. For the v

and sociograds on the rviews).

cial for the inrganigrams

of stakehcesses.

ganigrams aers is normao be consided often depen

on

uld be app classificatio

es to develo

anigrams anders involveviews formed

VE ON FLOOD

ractions betwfor example

the project es.

od

of organigrastakeholder

visualisation

am (or, if reqpreliminary

nterpretation and sociog

holders. Thi

and sociograally is not veered and the nds on the s

lied by diveon of stakehop an organig

d several sod in flood risd the basis fo

RESILIENT C

ween stakehorainbow-dia

in progress.

ams and socrs and secoitself adequa

quired, severwork (iden

of organigrarams allow is improved

ams could beery big. The

more complize of the stu

erse users. olders, as wegram and so

ociograms hsk managemor the visuali

OMMUNITIES DIANE-CM

olders by magrams (cf. G

Aspects tha

ciograms areondly, expeate software

ral organigrantification a

ams, and in pa better u

d understa

est be used larger the arex the struct

udy area.

However, ell as expertociogram. Th

have been dment in the cisation

apping/visualGTZn.s.) whic

at could be

e: firstly, a staert interviewis required.

ams and socnd categori

particular sounderstandinnding supp

on local andrea, the the ture become

due to the t interviews) hus, (social)

eveloped tocase study a

9

ising their ch allow a

illustrated

akeholder ws. These

ciograms). isation of

ciograms. ng of the ports the

d regional larger the

es. Hence,

required not many scientists

visualise reas. The

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10

The organigflood risk mand conflict Due to the aspects arecategory. InThe sociogprimary, sec

3.4 W

3.4.1 Workshops to discuss aworkshop sactivities lik

Field of

Risk commu The workshmethod to ecould coverWho shouldprocess wh

3.4.2 When settinworkshops common.

Input an

To carry oFurthermoreand participthe stakehstakeholder

Expecte

The expecteproject teamillustrated inmodelling in

grams for themanagement,

potential belarge scale

e not depicten the English rams show condary and

Works

Contex

are held in dan issue releseries in DIAe the collabo

Applicat

unication, Ri

hops are partenable probr a wide rangd participate ere the work

How to

ng up a worlast around

nd Resou

ut workshope the group

pation of all polder grouprs and motiva

ed result

ed results ofm and the inn table 1. Then general, ag

2ND CRUE F

DIANE-CM

e case studi,while the so

etween the ste and the coed in one so case the orgthe differen tertiary stak

hops

t and Aim

diverse conteevant for the ANE-CM is thorative platfo

tion

sk governan

t of a social lem solving

ge from relatidepends on

kshops are im

apply th

rkshop the fr two or thre

urces

ps a workabsize should

participants isp is unknowate them to b

s

f workshops nterest of thee core resultgreed objecti

FUNDING INITI

es describe ociograms mtakeholders.orrespondingociogram. Alganigram an

nt levels of rkeholders.

m of Met

exts with a vagroup and w

hat they areorm, interview

nce, Capacity

learning procorientated eve homogenthe intention

mplemented.

he metho

ramework, thee hours (in

ble topic andbe limited tos not possiblwn additionabecome invo

were definede participantsts of the worives and ind

IATIVE ON FLO

the respectimap informat

g complexitytogether, 12d sociogramrelevant stak

thod

ariety of diffework togethe

e part of CMws, river walk

y building

cesses and fexchange amnous groups n of the work

od

he benefits ancluding bre

d an adequo about 25 -le. An experial tools andlved in the w

d by an iteras. The structkshop were icators for FR

OOD RESILIEN

ive administrion flow, coo

y of the Ger2 sociograms

m are summakeholders, c

erent groupser on its solu

M process acks etc.

further traininmong a grou(e.g. colleag

kshop or resp

and the inteeaks), but fu

ate room in30 people m

ienced moded resources

workshop.

ative and inteture and spethe acceptanRM and sce

NT COMMUNIT

rative tasks ordination pr

rman case ts were deverised in one

categorised i

. Thegeneraution. The spccompanied

ng. Workshoup of stakehgues) to verypectively the

ntions must ull day work

ncluding equmaximum otherator shoulds are neces

eractive procecific goals once of the prnarios to be

TIES

and responsrocesses, co

the above meloped, threeillustration. into local ch

l aim of this pecial characby a set of

ops are a verolders. Thes

y heterogeneintention of

be made clshops are a

uipment are herwise an id lead the wossary to ide

cess of the Dof each workrocess of colsimulated in

sibilities in ooperation

mentioned e for each

hampions,

method is cter of the tools and

ry popular se groups ous ones. the whole

ear. Most also quite

required. nteraction

orkshop. If entify the

DIANE-CM kshop are laborative

n the case

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study areasfor FRM.

Assessm

Successful workshops the worksho

Scale of

Workshops issues addr

Degree

Workshops by scientistwidely. A thimplementa

3.4.3 In the DIANcase-specifterms of heboth test siddesign of thobjectives acase studieproject and

Tabl

EVENT

1st workshoInformatioabout inteof stakeho(December

2nd workshoDiscussion(February 2

3rd workshoNegotiatio(March 201

2ND

s, included lo

ment of R

application are learning op output for

f Applica

could be apressed need

of imple

are a very ps, managershorough stak

ation.

Exampl

NE-CM projefic collaborateterogeneity ades and accohe workshopand measurees enabled th

workshops,

e 1: Timeline an

op on and learninrest and need

olders r 2010)

op n/Discourse 2011)

op on 11)

D CRUE FUND

ocal knowled

Results

depends mand problem

r further proc

ation

pplied in almoto be kept in

mentatio

popular meths, or authoritkeholder ana

le

ect workshoptive modellinand number ording to thes by sharinges to combahe accumulaas well as ad

nd objectives of

PURPO

ng ds

- Makin- Info an- Result- Feedb- Identif- Furthe

- Scenaaltern

- Object- Identif- Identif- Info an

- Object- Conclu

DING INITIATIV

dge of the cu

mainly on them solution. A cesses..

ost all contexn mind: Oper

on

hod for face-ties. Group calysis and a

p series werng platforms

of participane objectives og their local kat local/regionation of workdditional stak

f collaborative m

OSE / ACTIV

g clear boundnd discussion ts of first modeback on modelfication of neuer ideas, propo

arios, brainstatives tives and alterfication possibfy new alternand discussion

tives and alterusion on meas

VE ON FLOOD

urrent flood r

e satisfactiofurther crite

xts, but restrrational group

-to-face exchcomposition,

an intensive

re carried ous. The worksnts, but the oof the projectknowledge onal flooding kshop resultkeholder exc

modelling works

VITIES

ary conditionsonline-particip

els and currenls/elicitation ofralgic points (wosals etc.

orming on po

rnatives, testinble measures ftives / re-definonline-particip

rnatives, testinsures and imp

RESILIENT C

risk situation

on of the parion for asse

rictions concp size and w

hange. The m, topic and ipreparatory

ut in the twoshop groupsoutcome of tt. The particif flooding asproblems. Ts, the disse

change.

hops (Alster/Ge

s for process, pation/workshnt risk f local knowledwet spots)

ossible meas

ng for neuralgic pning objectivespation

ng plementations

OMMUNITIES DIANE-CM

and an agre

articipants, aessing the res

cerning numbworkable topic

method couldntention of wphase are

o case studys in Germanthe workshoipants shape

s well as conThe collaboramination of

ermany) (for UK

clarification ofops

dge

sures, discuss

points (wet spos

eed set of al

as importantsults is the u

ber of participcs are impor

d be appliedworkshops mcrucial for s

y areas, supny and UK dps was satis

ed the contenntributing to sative platforminformation

K case see fig. 2

f terms

sion, trade o

ots)

11

ternatives

t aims of usability of

pants and tant.

d inter alia might vary successful

ported by differed in sfactory at nt and the scenarios, ms for the about the

23)

ff/ranking of

Page 23: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

12

4th workshoConclusio(May 2011)

3.5

3.5.1 Dual-drainabetween thaccurate reInfoworks Cscenarios awhich reprepluvial floodal. 2005).

Field of

Hydrologic/ Dual-drainamodels canused for hazDual -drainbetween thaccurate recase study flood risk m

3.5.2

Input an

In order to s‐ Com‐ Acc

DTM‐ Rai

Expecte

The resultinin the studyrainfall inpu The results measures famongst oth

op n & Wrap-up )

Dual D

Contex

age models e surface a

epresentationCS for the Uand alternativesent the inteding occurs,

Applicat

Hydraulic Mo

age models an reliably simzard and riskage modelse surface a

epresentation(Cranbrook canagement

How to

nd Resou

set up dual-dmplete 1D mcurate DigitaM with 1 m hnfall, flow an

ed result

ng model cony area. Thest.

of the modfor managemhers.

2ND CRUE F

DIANE-CM

- Cond- Ranki- Concl

Drainag

t and Aim

are physicand the sewe

n of this typeUK case studves for flood eraction thatthus allowin

tion

odelling, Fore

are key tools mulate the rek assessmens are physicnd the sewe

n of this typecatchment) a

apply th

urces

drainage modmodel of the sal Terrain Mohorizontal resnd water leve

s

nstitutes an ase models giv

els can be ument of urba

FUNDING INITI

ucting the exeing of alternatlusion on mea

ge Mod

m of Met

ally based mer network we of floodingdy (Cranbroorisk manage

t takes placeng for an acc

ecasting & W

for realisticaesponse of ant, spatial plaally based mer network we of floodingand were use

he metho

dels for urbasewer networodel of the solution and el records in

accurate andve informatio

used for estn pluvial floo

IATIVE ON FLO

ercise of collabives

asures and imp

delling

thod

models whicwhen urban g (Djordjevicok catchmen

ement. Dual-e between thcurate repres

Warning, Risk

ally and accua urban catcanning, forecmodels whicwhen urban g. These moded to simulat

od

n pluvial floork catchment, approx. 10 –order to calib

d physically on about plu

imation of uod risk, for r

OOD RESILIEN

borative mode

plementations

h represent pluvial flood

c et al., 2005nt) and were-drainage moe surface ansentation of t

k Analysis

urately modechment to hecasting and wch represent

pluvial flooddels were sete different fl

oding, the fol

including loc– 15 cm vertibrate the mo

based repreuvial flood ex

rban pluvial real time fore

NT COMMUNIT

elling

s

the interacding occurs,5). These me used to siodels are phynd the sewerthis type of f

elling urban peavy rainfall warning. t the interacding occurs,et up in Infoood scenario

lowing inform

cation of bucal resolutio

odel.

sentation of xtent and floo

flood risk, fecasting of u

TIES

tion that tak thus allowi

models were mulate diffeysically baser network whflooding (Djo

pluvial floodinand can the

ction that tak thus allowi

oworks CS foos and altern

mation is req

uildings (LiDAn is ideal).

urban pluviaod depth for

for analysingurban pluvial

kes place ng for an set up in rent flood

ed models hen urban ordjevic et

ng. These erefore be

kes place ng for an or the UK natives for

uired:

AR-based

al flooding r a certain

g potential l flooding,

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Assessm

The quality the urban cprevious ev Different infcommunica

Scale of

These mode

Degree

The dual-drwater utilitie The results managers, a

3.5.3 Within the Dproperly repsewer netwprovided bywere collecsimulation (consideringmodels canevaluated bwere used Collaborativ

2ND

ment of R

of the modecatchment u

vents can be

formation cation or for flo

f Applica

els are suita

of imple

rainage modes, governme

obtained froamongst oth

Exampl

DIANE-CM ppresent and

work was oby the UK Envcted throughsoftware whg that the inn reliably repby comparing

to simulate ve Modelling

D CRUE FUND

Results

els can be asunder differe

used.

n be extracteood event ma

ation

ble for urban

mentatio

els are to beent agencies

om the modeer stakehold

le

project a dua forecast ur

btained fromvironment Agh a monitorihich allows nteraction bepresent the rg level meas

the flood sExercise. A

DING INITIATIV

ssessed in tent rainfall co

ed from thesanagement.

n catchment

on

e implementes or local auth

els (which caders.

al-drainage mrban pluvial Thames W

gency. Rainfaing system. coupling the

etween the twesponse of tsurements agscenarios an

dual-drainag

VE ON FLOOD

erms of its aonditions. To

se models anIts successfu

ts which are

ed and operahorities in ch

an be easily

model was imflooding in t

Water (water all and water

The modele model of wo models tthe catchmegainst the re

nd flood risk ge model of t

RESILIENT C

bility to accuo do this, ra

nd can be usul use greatly

subject to p

ated by urbaharge of urba

mapped) ar

mplemented the Cranbroutility) and

r level recordl was set uthe sewer ntakes place

ent to intenseesults produc

managemethe Cranbroo

OMMUNITIES DIANE-CM

urately reprodainfall and w

sed for planny depends o

pluvial floodin

an drainage man drainage).

re useful for

for the UK cook catchme

the DTM os used for ca

up in InfoWonetwork withat the manh

e rainfall eveced by the m

ent alternativok catchmen

duce the behwater level r

ning, for impn the modell

ng.

modellers (e

planners, e

case study innt. The mod

of the catchmalibration of torks CS, a h that of theholes).The dents (their qumodel). Thesves considernt is shown b

13

haviour of records of

roved risk er.

either from

mergency

n order to del of the ment was the model hydraulic

e surface developed uality was se models red in the elow:

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14

3.6

3.6.1 In order to rsurface, as between thconstitutes Two ways odeveloped:

1D sur

Contex

reliably modewell as the f

hese two sys one of the

of realistical

2ND CRUE F

DIANE-CM

Figure5

rface ru

t and Aim

el urban pluvflow in the systems(as emain comp

ly modelling

FUNDING INITI

5Dual-drainage

Figure 6:

unoff m

m of Met

vial flooding, ewer systemexplained in

ponents of u

the surface

IATIVE ON FLO

model of the C

Dual-drainage c

modelli

thod

it is necessam. Furthermon Section 3urban pluvia

e or overland

OOD RESILIEN

ranbrook catchm

concept

ng

ary to take inore, it is nece3.5). Thus, al flood mod

d network of

NT COMMUNIT

ment

to account thessary to conthe modell

dels.

f an urban c

TIES

he flow over nsider the inling of the

catchment h

the urban teractions

e surface

ave been

Page 26: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

1) As mod

2) As athe areas wconduits wipaths througBoth modecomputationforecasting (NRT) of thi Several sof1D flow ove(hence subjrepresentatcalled AOFDAOFD is a models of th In the DIAN(Automatic in order to p

Field of

Hydrologic/ As explainemain comphowever, 2Dlong runningthe urban surban pluvicreate a duaddition, theforecast urb

3.6.2

Input an

In order to s‐ Acc

hor‐ Loc

plac‐ AO

AOfilesSobcrea

‐ Rai

2ND

a 2-dimedelsareveryda 1-dimensiowhere water th specific ggh which wals can reliabnally demanof urban pluis type of floo

ftware packaer the surfacjective) definions of surfaD (AutomaticGIS (Geogr

he overland

NE-CM projeOverland Flo

produce a du

Applicat

Hydraulic Mo

ed in Sectionponents of uD models areg time. In courface reliabal flooding.

ual drainage e resulting dban pluvial flo

How to

nd Resou

set up 1D mocurate DTM izontal resolu

cation of mace at manhoFD tool, whFD tools is as can be imbeck) and caation of 1D-1nfall, flow an

D CRUE FUND

ensional (2detailed, but onal (1D) sysr is likely to geometry coater is likely tobly represennding and thuvial floods. Iods.

ages (e.g. Infe; neverthelenition of the

ace flow procc Overland Fraphic Informnetwork bas

ct a 1D modow Delineatioual drainage

tion

odelling, Fore

n 3.5, modellurban pluviae not suitabl

ontrast, 1D mbly. ThereforeThese modemodel whic

dual drainageooding.

apply th

urces

odels of the sof the catch

ution and apanholes (sincles, so its loc

hich based oa set of shap

mported into an be easily1D dual drainnd water leve

DING INITIATIV

D) surfacealso verydemstem made ube stored/re

mputed fromo flow duringt the overlanheir runningIn contrast, 1

foWorks CS,ess, their me surface flow

cesses (MaksFlow Delineatmation Systeed on an acc

del of the suon) tool. Thismodel suitab

ecasting & W

ing of the sul flood mode for real tim

models of thee, 1D modelsels must be ch takes intoe model mus

he metho

surface, the fhment, inclu

pprox. 10 – 15ce the interacation must b

on the DTM gpefiles whichseveral hyd

y coupled witnage modelsel records in

VE ON FLOOD

e, using amanding in teup of ponds etained durin

m the Digital g flood eventnd network

g time make1D surface m

, MOUSE, Sethodology tow paths, whsimovićet al.tion) has beems) tool whcurate DTM

rface was crs model wasble NRT fore

Warning, Risk

urface netwoels. The urb

me applicatioe surface ares of the surfacoupled wit account the

st be fed with

od

following inpuding locatio5 cm verticaaction betwebe consideregenerates thh constitute tdraulic simulath 1D mode

s for urban plorder to calib

RESILIENT C

a mesh oerms of runn(modelled asng flood eveTerrain Mo

s and the flowes them unmodels are fa

OBEK, SWMo estimate th

hich is labori, 2009). To oen developedich automati(Digital Terra

reated for thes coupled witecasting of ur

k Analysis

ork of urban cban surface

ons (includinge fast, while ace constituteth a model oe interactionh short term

puts and toolson of buildingl resolution is

een the surfaed in the 1D mhe 1D modelthe 1D modeation softwals of the sewuvial floodingbrate the mo

OMMUNITIES DIANE-CM

of triangulaning time s storage noents, and padel –DTM–)

w on it; hownsuitable for ast enough t

MM) are caphe overland fous and mig

overcome thid at Imperialically analysain Model) of

e UK case sth the modelrban pluvial f

catchments can be mo

g NRT flood still represene a key tool fof the sewers between trainfall fore

s are requiregs (LiDAR-bs ideal). ace and themodel of the of the surfael of the ove

are (e.g. Infower system, g.

odel.

r elements

odes), which athways (mo, which repr

wever, 2D mshort-term

to allow near

pable of simuflow assumeght lead to is problem, al College Lones and genef the study a

study using t of the seweflooding.

constitutes oodelled in 1forecasting)nting the behfor NRT forer network, inhese two sycast in order

ed: based DTM

e sewer syste surface). ace. The outerland netwooWorks CS,

thus allowin

15

s. These

represent odelled as resent the

odels are real-time

r real-time

ulating the es manual unreliable a new tool ndon. The erates 1D rea.

the AOFD er network

one of the D or 2D; , given its haviour of casting of

n order to ystems. In r to finally

with 1 m

tem takes

put of the ork. These

SIPSON, ng for the

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16

Expecte

The resultinurban surfadrainage moflooding (in

Assessm

The quality behaviour oof historicameasureme

Scale of

These mode

Degree

These modutilities, gov The resultsemergency

3.6.3 Within the Dstudy) was the catchmprovided bywere providmodel werethe surfacewere importsurface withplace at therepresent thof 1 or 2 mdeveloped mhowever, thinput (curreal., xxx). Fframework specify whoindicate howcatchment i

ed result

ng model alloce. After couodels are crencluding fore

ment of R

of the modeof the flow ovl events mu

ents).

f Applica

els are suita

of imple

dels are to bvernment age

s obtained fmanagers, a

Exampl

DIANE-CM pimplemented

ment (LiDAR y the UK Ended by Thame collected th, using the Dted into InfoWh that of thee manholes)he behaviourminutes, as cmodels are rhe reliability nt developm

Furthermore, for urban p

o is responsw these procs shown in t

2ND CRUE F

DIANE-CM

s

ows for an aupling the 1Deated and ca

ecasting of flo

Results

els can be aver the urbanust be used

ation

ble for urban

mentatio

be implemenencies or loc

from the moamongst othe

le

project a 1Dd and later o

based, 1 mvironment A

mes Water (whrough a monDTM and thWorks CS, ae sewer netw. All runs wer of the urbancompared toready to be iof the forecaents are beinbefore thes

pluvial flood sible for modcesses shouhe figure bel

FUNDING INITI

ccurate, phyD model of than be used foood location,

ssessed in tn surface. Tod (so that th

n catchment

on

nted and opcal authorities

odels (whicher stakehold

model of thon coupled wm horizontal

Agency. Detawater utility). nitoring systee manhole l

a hydraulic swork (considere carried on catchmento 2D modelsmplementedast will also ng done in thse models forecasting

delling, forecld be carriedlow.

IATIVE ON FLO

ysically basedhe surface wor estimatio flood depth

terms of its ao evaluate itshe results o

ts which are

perated by us in charge o

h can be eers.

he surface newith a 1D mod

resolution ails of the seRainfall and em. The AOFlocation as iimulation so

dering that thout using Inf, while keeps of the surfd in full scaledepend on this direction are implemeand warnin

casting, ward out and lin

OOD RESILIEN

d, and fast rith a 1D modn and real tand extent).

ability to accs performancof the mode

subject to p

urban drainaof urban drain

easily mappe

etwork of thedel of the seand approx

ewer networkwater level

FD tool was nputs. The fftware whichhe interactiofoWorks CSaing computaface, which

e for NRT forthe reliability– informationented in fulg must be

rning and evked). The 1D

NT COMMUNIT

representatiodel of the sewime forecas

curately and ce, rainfall anl can be co

pluvial floodin

age modellenage).

ed) are use

e Cranbrookewer network. 15 cm vek (including records usedused to genfiles generath allows coupn between tand the modtional time vtake around

recasting of uy of the rainfan about it canl scale, a ldeveloped (

vent manageD surface mo

TIES

on of the flowwer network

sting of urba

quickly reprond water leveompared ag

ng.

ers (either fr

eful for plan

k catchment k. An accuratrtical resolulocation of md for calibraterate the 1Dted by the Apling the mothe two moddels proved tvery short (in d 1 hour to urban pluviafall that is pron be found inegal and o(this framewement and model of the C

w over the , full dual-an pluvial

oduce the el records ainst real

om water

nners and

(UK case te DTM of tion) was

manholes) tion of the

D model of AOFD tool odel of the dels takes to reliably the order run). The l flooding; ovided as n Wang et perational

work must must also Cranbrook

Page 28: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Figure 7:1D m

3.7

3.7.1 With the demodelling: Cfluvial mode(Henonin etdata and mSOBEK, HE

Field of

Forecasting

3.7.2

Input an

The inputs r- Rive- Bou- Trib- Cha- Wa

veriMIKE 11, Hmodel. GIS

2ND

(a) 

odel of the over

1D Riv

Contex

evelopment oComputer moels use the t al., 2010). T

model calibratEC-RAS are

Applicat

g & Warning,

How to

nd resou

required to ser channel gundary condibutary inflowsannel resistater level anification of thHEC-RAS, Ssoftware is u

D CRUE FUND

 

rland network of

ver Mod

t and Aim

of computer odels help toSaint-Venan

The quality otion. Differenfew of them.

tion

Hydrologic/H

apply th

rces

set up a 1D heometry itions s

ances and nd flow mehe 1D model.SOBECK, SWused for prep

DING INITIATIV

f the Cranbrook

delling

m of Met

technology o understandnt one dimeof the result fnt software p.

Hydraulic Mo

he metho

hydraulic mod

asurement . WMM and Inparing mode

VE ON FLOOD

(b)

k catchment: (a)

thod

it is possibld the complensional flowfrom 1D modpackages ar

odelling, Haz

od

del are:

along the c

nfoWorks arl input and a

RESILIENT C

) entire catchme

e to solve flex interactionw equation todels is highlye available f

zard/Risk Ma

channel for

re some of tanalyzing mo

OMMUNITIES DIANE-CM

ent; (b) detail

ooding probn between rao simulate fly dependent for 1D mode

apping

the purpos

the softwareodel results.

blems with thinfall and flolow in a riveon the qualit

els; MIKE 11

se of calibra

e used to se

17

he help of oding. 1D er system ty of input , SWMM,

ation and

etup a 1D

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18

Expecte

Maximum ware direct reimportant co

Assessm

Calibration model with quality of thand calibratwith simulathe simulate

Scale of

The applica(one dimencatchments

Degree

This methohowever, thcommunica

3.7.3 In the DIANmodel built for Streets,Fuhlsbüttler

ed Result

water level pesults from tommunicatio

ment of t

and verificatreliable outp

he model is ated (Henoninted values aed values are

f applica

ation of 1D msion); flow in

s of different s

of Imple

od needs teche results of tion by plann

Exampl

NE-CM projein MIKE 11 Bridges anr sluice and S

2ND CRUE F

DIANE-CM

t

rofile and avthe 1D modeon tools in inf

the Resu

tion of the mput and with

assessed). Fun et al,2010)and changinge reasonably

ation

model is limitn the other dsizes.

mentatio

chnical expef the modelliners, emerge

le

ect 1D river for the part

nd Water (LSSchaartor slu

FUNDING INITI

verage flow vel. This resufrastructure p

ults

model are verh the ability turthermore,).This is dong the calibray accurate.

ted to water dimensions

on

ertise and cng process ency manage

modelling wof Alster RivSBG) in Hauice using H

IATIVE ON FLO

velocity for elt is processplanning and

ry important to predict flothe model ca

ne by compaation parame

depth and fis neglected

could be imppresented iners and othe

was implemever until Fuhmburgand aEC-RAS.

OOD RESILIEN

each cross seed in GIS to

d disaster pre

steps and aow in the rivean only be su

aring historicaeters(roughne

flow velocity d. These mo

plemented on hazard mar stakeholde

ented in thelsbüttler slui

a new mode

NT COMMUNIT

ection for theo produce haevention.

re essential er (which is ustainable if al records ofess coefficie

prediction indels can be

only by modaps could beers.

German cace was obta

el was built

TIES

e simulated azard maps w

for obtainingthe way in wit is regularlyf flow and w

ent) in the m

n the directioset up for r

dellers and se used as a

ase study. Aained from th

for the part

scenarios which are

g a robust which the y updated

water level model until

on of flow rivers and

scientists; means of

A 1D river he Agency t between

Page 30: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Figure 8: Ske

HEC-RAS iand flood foRAS modelriver Elbe. Aalong the rifrom LSBG.

3.8

3.8.1 Urban pluvnetwork anforecast theand happentemporal rethat is why n

Field of

Forecasting

2ND

etch of the used

s a public doorecasting(F is output froAll the inputver, flow and.

Urban

Contex

ial flooding d the surfac

e rainfall andns very quicksolution) andnew method

Applicat

g & Warning,

D CRUE FUND

models for the

omain softwaF.E. Hicks anom the MIKEt data required stage mea

pluvia

t and Aim

is caused bce drainage feed it into

kly, the urband fast. The eologies were

tion

Hydrologic/H

DING INITIATIV

Alster River cat

are for 1D hynd T. PeacoE 11 model aed for the masurements,

l flood

m of Met

by intense rasystem. In the hydraulicn pluvial floodexisting forece developed

Hydraulic Mo

VE ON FLOOD

 tchment and HE

sluice.

ydraulic modock,2005).Thand the downmodel set up

gates and p

foreca

thod

ainfall whoseorder to forec flood moded forecast m

casting modethroughout t

odelling, Eme

RESILIENT C

EC-RAS 1D mo

deling and hae upstream nstream bou

i.e. elevatiopumping stat

asting

e volume execast this tyels. Given tha

must be accurels do not yehe project an

ergency plan

OMMUNITIES DIANE-CM

del for the part

as good capboundary condary condit

on data, rivertions operatio

xceeds the cype of floodiat this type orate, detailed

et comply witnd are still be

nning

downstream Fu

pability in flooondition for tion is tidal cr bed data, son data was

capacity of ting it is necof flooding isd (with fine sh these requeing refined.

19

uhlsbütteler

od routing the HEC-

curve from structures

s obtained

the sewer cessary to s localised patial and

uirements;

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20

3.8.2

Input an

In order to f1) Acc2) Rai

bas3) Dow

algo4) Acc

modordusefore

5) Rai

Expecte

These methof structural The expecte

Assessm

The qualityaccurately alevel recordcompared a

Scale of

The forecaspluvial floodcould be acnowcasting

Degree

These forecmodellers (drainage). Ibut progres The results

How to

nd Resou

forecast urbacurate real-timnfall nowcas

sed on the prwnscaling algorithm is appcurate and fadels should er to set up

e maps andecasts are fenfall, flows a

ed result

hodologies pl and non str

ed achievem

ment of R

y of the devand timely fods of historicaagainst real m

f Applica

sting modelsding. Howevechieved by imodels and

of imple

casting mod(either from n the UK it iss is being ma

obtained fro

2ND CRUE F

DIANE-CM

apply th

urces

an pluvial floome rainfall essting algorithresent conditgorithm to o

plied to the aast pluvial flobe physicallthese mode digital terrd into the hy

and water lev

s

provide accurructural respo

ment is to pre

Results

veloped forecorecast urbanal events mumeasuremen

ation

s must be imer, a wider amplementing ultimately w

mentatio

els are to bwater utilit

s still uncleaade in this d

om the foreca

FUNDING INITI

he metho

oding, the fostimates, wh

hm to forecastions.

obtain rainfallbove rainfallood hydraulily based and

els it is necesain model w

ydraulic modevel records (o

rate and timeonses, in ord

dict flood loc

casting methn pluvial floodst be used (s

nts).

mplemented pplication of g a platform

with local hyd

on

be implementies, governmar who is resirection.

asting model

IATIVE ON FLO

od

llowing inputhich are the sst the rainfa

l forecasts w nowcasts. c models, wd should takssary to havwith fine hoels in order tof previous e

ely pluvial floder to minimi

cation and ex

hodologies cd events. Toso that the re

for individuf these metho

m which centraulic flood m

ted and opement agencponsible for

s are to be u

OOD RESILIEN

ts and modestarting pointll in the next

with finer spa

which cover tke into accouve a reliable orizontal andto forecast floevents) in ord

ooding forecse the negat

xtent at least

can be asseo evaluate theesults of the

ual urban codologies (i.etralises rainfamodels.

erated by mecies or localpredicting an

used in flood

NT COMMUNIT

ls are requiret for the rainft few hours –

atial and tem

the area of iunt the dualmodel of the

d vertical reooding. der to calibra

ast, which ative effects o

t 1-1.5 hrs ah

essed in tereir performanforecasting m

catchments e. at the regiall inputs an

eteorologistsl authoritiesnd managing

emergency

TIES

ed: fall forecast. –approx. 3 h

mporal resolu

nterest. Idea-drainage co

e sewer netwesolution. Th

ate the mode

llows timely of these even

head.

rms of their nce, rainfall amethodologi

which are sional or natio

nd links it wi

s and urban in charge g this type of

managemen

h ahead–,

ution. This

ally, these oncept. In work, land he rainfall

ls.

triggering nts.

ability to and water es can be

subject to onal level) ith rainfall

drainage of urban

f flooding,

nt.

Page 32: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

3.8.3 Within the implementeestimates wPrediction SdownscalingAfterwards, catchment (determinedrelevant sta These forecImperial Cotest, verify amethods caforecasting modelling, fshould be c

3.9

3.9.1 Flood hazaeach flood eand, where associated imagery as not only shassociated w In the DIANproduced foRAS; in thethe hydraulexported anincluded in different inproperties),

Field of Hazard/Risk Flood hazathey are als The main usupport the

2ND

Exampl

DIANE-CM ed in the UKwere obtaineSystem) sysg algorithm wthe rainfall f

(set up in Inf. The obtain

akeholders in

casting methollege Londoand refine than be imple

and warninforecasting,

carried out an

Flood

Contex

rd maps indevent, the floappropriatecharacteristbackgroundow the likelywith a certai

NE-CM projeor the river Ae UK surfaceic model setnd processethe collabo

formation (ein order to c

Applicat

k Mapping, R

rd and risk so key tools f

use of the flCollaborativ

D CRUE FUND

le

project, theK case studyed from the stem was uwas developforecasts wefoWorks CS)ned results n order to con

hods are in n (in collaboese methodsmented in fng must bewarning an

nd linked).

Hazard

t and Aim

dicate the geood hazard m

e, the likely dics are indic

d. Flood hazay extent of fln flood scena

ect hazard mAlster (Germ flood maps t up in Infowed in ArcGISorative platfoe.g. locationconvey an ide

tion

Risk Analysis

maps are kefor communic

ood hazard ve Modelling

DING INITIATIV

e urban pluy (the CranbUK Met Of

used to nowped and applere fed into a), from whichand the potnsider the po

its final staoration with ths, so that thefull scale, a e developed d event ma

d Mapp

m of Met

eographical amaps shall sdirection andcated with dard maps arelooding, but ario.

maps were any), using twere genera

works CS. InS in order torm, using Gn of critical ea of flood ri

s, Hydrologic

ey tools for dcation of floo

and risk maExercise for

VE ON FLOOD

vial flood fobrook catchmffice, the UK

wcast rainfallied in order

a 1D-1D (duah flows in thetential of theossibility of u

ge of develohe UK Met Oey can soon legal and o(this frame

nagement a

ping

thod

area that coushow the liked velocity of different coloe the basis fmust also c

developed fthe results oated for the both cases to generate Google maps

infrastructusk.

c/Hydraulic M

decision maod hazard an

aps generater ranking of a

RESILIENT C

orecasting mment). For tK Met Officel (with differto refine theal-drainage) e sewers ande forecastingsing it opera

opment andOffice and otbe used ope

operational fework must and must als

uld be inundely extent of

flow of possours or textufor preparatioconvey an id

for both caseof the river mCranbrook cthe results hazard map

s as backgrure, location

Modelling

king regardind risk to the

ed throughoalternatives in

OMMUNITIES DIANE-CM

models werethis purposee STEPS (Srent lead tim

e resolution ohydraulic mo

d flood exteng models weationally.

work is cuther academerationally. Hframework fo

specify whso indicate h

dated for a gthe flood, thesible floods.

ures, with a on of flood rea of the po

e studies: rimodel set up catchment, baof the hydraps. Furthermround and on of comme

ng spatial pgeneral pub

out the DIANn flood risk m

e refined, tee, radar-baseShort-Term Emes) and aof the rainfallodel of the Cnt on the surfere commun

rrently beingmic centres) inHowever, befor urban pluho is responhow these p

given flood ee water deptThe flood emaster map

risk maps, wotential cons

iver flood min MIKE 11 ased on the aulic simulatmore, the moverlaying laercial and r

lanning. Furblic.

NE-CM projemanagement

21

ested and ed rainfall Ensemble cascade l forecast.

Cranbrook face were nicated to

g done at n order to fore these uvial flood nsible for processes

event. For th or level

extent and p or other hich must equences

aps were and HEC results of

ions were aps were

ayers with residential

rthermore,

ct was to t.

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22

3.9.2

Input an

Flood hazascenarios afollowing:

- Bacbe u

- WaDepfor SOuse

- A Gflowwhi

- Addconfloouse

Expecte

Hazard mapgiven flood risk maps a

Assessm

The effectivextent of a information higher impa The reliabimodels (wh

Scale of

The mappehydraulic mmap it all to Depending local areas,generated f

How to

nd resou

ard maps areare simulated

ckground maused as a bater level andpending on thydraulic mBEK, SWMM

ed for urban pGIS software w velocity. Spch can be usditional informnsequences od event). Exe, location of

ed Result

ps effectivelyevent of cernd is also ve

ment of t

veness of a fgiven flood of the area

act on the use

ility and quhose quality

f applica

ed area depemodel. Furthe

gether in one

on the purp, for regionsfor the Cranb

2ND CRUE F

DIANE-CM

apply th

rces

e created byd. The main

ap of the areackground fod/or flow velohe type of syodelling. In

M and InfoWpluvial flood package (e.

patial Analyssed for prepamation of theof the flood

xamples of adresidences,

ts

y show the lirtain probabilery useful for

the resu

flood hazardevent (which, flood hazaer. In fact, flo

ality of floodepends on

ation

ends on theermore, it is ae single flood

pose and on , countries a

brook catchm

FUNDING INITI

he metho

y post proceinputs and t

ea. DTMs, saor the hazardocity data for ystem that isthe case of

Works RS canmodelling ar.g. MapInfo, st Tool, HECaration of haze study areaevent (thus dditional infolocation of c

ikely extent olity of occurrr flood risk co

lt

d map lies inh has a certard maps caood hazard m

od hazard mthe input dat

e geographicalso possibled hazard ma

the desiredand even for ment (9 km2)

IATIVE ON FLO

od

essing data tools require

atellite imaged maps.

given flood es being analy

rivers, softwn be used. Ere: InfoWorksArcGIS) to p-GeoRAS anzard maps.

a, which allowallowing the

ormation whiccritical infrast

of the flood, rence). This ommunicatio

its capacityain probabilin potentially

maps constitu

maps greatlyta used to se

c area (i.e. te to extract inap (in order to

level of detcontinents.

and for the R

OOD RESILIEN

from the hyd to create g

es, or other

events; this iysed, differenware packagExamples of s CS, MOUSpost-processnd FLOODAR

ws the user e user to selfch could be tructure, road

the water deinformation i

on and for pla

y to clearly coity of occurrey convey an ute the basis

y depends et them up a

the watershenformation froo cover a gre

tail, hazard mIn the DIAN

River Alster c

NT COMMUNIT

ydraulic modgood quality

representati

is obtained frnt software pges such as

software paSE, SOBEK, s and map thREA are som

to better undf-assess theincluded in hd map, etc.

epth and/or ts the basis f

anning purpo

onvey informence). If comidea of floo

s for flood ris

on the quand on the ca

ed or catchmom different eater area).

maps can beNE-CM projeccatchment (5

TIES

dels with whhazard map

ons of the a

rom hydraulipackages can

MIKE 11, Hackages whicSWMM.

he water leveme ArcGIS e

derstand the flood risk fo

hazard maps

the flow velofor generatiooses.

mation aboutmbined with od risk, thus sk maps.

ality of the halibration proc

ment) coverehydraulic mo

e generatedct, hazard m

597 km2).

hich flood ps are the

area could

c models. n be used

HEC-RAS, ch can be

el and / or extensions

e potential or a given s are: land

ocity (for a on of flood

the likely additional having a

hydraulic cess).

ed by the odels and

for small maps were

Page 34: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Degree

Hazard mapNGOs, etc.) The resultinuses and po

- Foraltegov

- Foreme

- For- For

3.9.3 In the Germpresented combined whydraulic msluice and aimported intThe MIKE 1The resultselevation dacreation of hIn the UK cInfoWorks Cthe surface modelled inand sewer resulting hydifferent floflood scenacreate the colours). Ininfrastructur

3.10 C

3.10.1 The purposparticipatorylocal stakehreducing flo

2ND

of imple

ps are create).

ng hazard motential usersr planning pernatives for vernment ager definition ofergency servr risk commur analysis of i

Exampl

man case sin the form with land us

models were a HEC-RAS to ArcGIS an11 model wa of this modata and bathhazard mapscase study, CS and its renetwork was

n 1D (the monetwork modydraulic modood risk manario were excorrespondin

n addition, re were adde

Collab

Contex

se of collaby by developholders. CM ood vulnerab

D CRUE FUND

mentatio

ed by model

maps can be s are:

purposes, suflood risk m

encies and of emergencyvices, such anication to reinsurance pr

le

study, simulaof flood ha

se maps in set up for thmodel downnd processedas used to sidel were prohymetry datas. a 1D-2D ur

esults were us modelled inodel was obtdels were codel different nagement altxported as sng flood hazlayers cont

ed to the ma

orative

t and Aim

borative modping a share

supports deility

DING INITIATIV

on

llers (either f

used for dif

uch as selecmanagementother authority plans, in whas fire brigadesidents of cremiums

ation resultsazard mapsorder to de

he German cstream of Fud using the Hmulate some

ocessed in Fa were used

rban pluvial used to genen 2D, using atained from Toupled togethflood eventsternatives whapefiles anzard maps (aining informps, in order t

e Mode

m of Met

delling (CM)ed understanealing with c

VE ON FLOOD

from water ut

fferent purpo

ction of the t, etc. In thisties. hich case thee.

certain areas

s from the 1. Afterwardstermine area

case study: auhlsbüttler slHEC-GeoRAe alternative

FLOODAREA to create th

flood modeerate flood ha detailed DTThames Waher in order ts were simulwas also simnd were afte(on which dmation abouto convey an

elling

thod

) is to maknding of floodcomplexity of

RESILIENT C

tilities, gover

oses at differ

location of s case the m

e maps are

1D hydraulics, the informas at high ra 1D MIKE 1uice. The res

AS extension s to solve flo

A to create the DEM, wh

l of the Craazard maps TM as main

ater, the wateto realisticallated (using

mulated. The rwards postifferent floodut location

n idea of flood

e flood mand risk and sf FRM and e

OMMUNITIES DIANE-CM

rnment agen

rent levels. E

new develomaps are us

used by eme

c model of mation of thrisk of flood1 model upssults of the Htool to prod

ooding problthe hazard m

hich was one

anbrook catcin ArcGIS. Iinput, and th

er utility of thly model pludesign storflood depth

-processed d depths weof buildingsd risk.

nagement dupporting thenhances th

ncies, local a

Examples of

opments, sesed by wate

ergency plan

the river Alshe hazard ming (wet spstream of FuHEC-RAS muce the hazaems at the wmaps. High e of the inpu

chment was n the hydrau

he sewer nethe area). Thvial floodingms) and the

hs estimatedin ArcGIS in

ere assigneds, roads an

decision-make interaction

he scope of

23

uthorities,

f potential

election of er utilities,

nners and

ster were maps was ots). Two uhlsbüttler odel were ard maps. wet spots. resolution

uts for the

set up in ulic model twork was

he surface . With the

e effect of for each

n order to d different nd critical

king more n between action for

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24

Field of

Participation With the mstakeholdercommunicaparticipatoryparticular taThe collabworkshops the case stuExercise wstakeholderpreferencesother partic

3.10.2 Since CM considered:collaborativprocess follcombining frisks, mana(following thDuring the partly modiftransparencmeasures cThe CP guirisk and at steps throug(1) System flood risk mevaluation oModelling Erisk managethey were aThe feedbaalternativestool, whosemanaging flThe joint raare supportCollaboratioalternativesgroup rankconsists of stakeholderThe implemworkshops

Applicat

n, Risk gove

method collabr engagemention tools, sy process is

arget group. orationactivitand the colludy areas is as developers were ables regarding tipants throug

How to

is a socio-te: the develoe platform -lows from thface-to-face wagement obhe modellingparticipatoryfy the functicy of informcan be reachides the usepreparing himgh which thedefinition, (2

management of alternativeExercise. In tement accor

also enabled ck provided

s for flood rise purpose is looding in thenking of flooed by the on

on and Negs according toing with traadaptation

rs, following cmentation of and also onl

2ND CRUE F

DIANE-CM

tion

rnance, Cap

borative modnt and commsuch as a supported b

tiesarejoint aborative pladisplayed a

ed and exece to rank the importancgh a virtual p

apply th

echnical apppment of a - CP), whiche stakeholdeworkshops a

bjectives, altg and flood hy activities thonalities of t

mation and ed, which is

er through a m/her to take

e user is guid2)Developmeobjectives, (

es for flood rithis exerciseding to their to negotiate by the stake

sk managemto support a

e study aread risk manag

nline tool devotiation. In to own prefernsparent preof the grou

collaborationthe collaborine, using th

FUNDING INITI

pacity building

delling we umunication acollaborativey aninteracti

actions of atform, whernd feedback

cuted in eache alternativce of identifie

platform.

he metho

proach, therparticipation

h is specific er analysis. Tand online paternatives anhazard mapphe stakeholdthis tool for results, concrucial in Floseries of stee part in the

ded are the foent of share3) Definition sk managem stakeholderown preferewith other p

eholders throment) constitu

a joint/collab. gement alterveloped for ththe first sterences. In thesentation o

up ranking bn and negotiarative modele web-based

IATIVE ON FLO

g

understand aactivities aree platform. ve web-base

all stakehoreby relevank tools are avh study areves for flooed objectives

od

re are two m process anfor a given

The identifiearticipation vnd external

ping activitiesers can influpurposes of

nfidence in ood Risk Maeps aiming asubsequent

ollowing: ed understan

and evaluatment, and (5)rs were ableences regardparticipants though the maiutes the basborative sele

rnatives is dehis purpose: p each stake second ste

of individual by means ofation activitielling tools and tools devel

OOD RESILIEN

an interactive constantly CM is a soed tool (the c

lders assistnt informationvailable. In aa of the DIAd risk manasand they we

main parts ond the devel

location aned stakeholdeia the CP. Inscenarios

s) and deployuence and af collaborativthe processnagement.

at developingt Collaborativ

ding of curretion of extern) Ranking of to evaluate ing the impohrough a virtin CP (espec

sis for the finection of the

eveloped thro(1) Individua

keholder devep the individ

positions vf adjusting ies. nd the exercoped for this

NT COMMUNIT

ve and iteratcomplement

ocio-technicacollaborative

ted by a sn about floodaddition, a CANE-CM proagement acere also ena

of the methoopment of t

nd target groer participate

nitial identificaare generatyed on the idapt the so-ve decision s and accep

g a shared uve Modelling

ent flood risnal scenariosalternatives and rankthe

ortance of ideual platform.cially regardinal design of

most appro

ough the folloal Profile, (2)velops evaludual ranking

versus the gndividual ra

cise was cas purpose.

TIES

tive process ted by modeal approach

platform) tai

eries of facd risk managollaborative oject. In thisccording to tabled to nego

od which hahe technicaloup. The pae in FRM acation of poteted by expenitially devel-provided comaking. By ptance of n

understandin Exercise (C

k and identifs (4) Identificthrough Col

e alternativesentified objec ing the objecf this decisio

opriate altern

owing 3 stag Group Profi

uation and rs are aggreg

group. The tnking of pa

arried out thr

in which elling and

where a ilored to a

ce-to-face gement in Modelling

s exercise their own otiate with

ave to be l tool (the rticipation

ctivities by ntial flood ert teams loped CP.

ontent and doing so,

negotiated

g of flood CME). The

fication of cation and laborative s for flood ctives and

ctives and on-making natives for

ges, which ile and (3) ranking of gated to a third step rticipating

rough live

Page 36: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Input an

Collaborativtechnical exinstrumentsExercise skalternativesgroup. Rathmeans of aimplementemethod).

Expecte

The interacCollaborativ

- Ta

- Taw

- A- N- T

s

Assessm

The quality several critestrategies thflood risk mtest for this also needs supporting process (inselected FRcollaboratiocapacity forcollaborativand particul

Scale of

This methodsmall catchmRegarding tseries of wowhich makeThe online-pThe numbeframework.

2ND

nd Resou

ve modelling xpertise in h

s such as a kills are requs against idenher than beiactive particied, namely

ed result

ctive and iterve Modelling The developarea The developalternatives way. An assessmeNegotiated aTrained locastakeholders

ment of R

of the resulteria. Firstly, hat emergedanagement easpect is a rto be asses

tools, whichcluding a fin

RM alternativon, which lastr coping withe modelling larly via asse

f Applica

d can be apments like ththe number orkshops thees an interacparticipation er of particiWithin the D

D CRUE FUND

urces

is not possibhydrological collaborative

uired in Multintified objectng presenteipation of ththe Techniq

s

rative collaboExercise su

pment of a c

pment and ewere simula

ent of alternaand selected al champions

Results

ts from the cthe effective

d from the coexperts in threal flood evessed. This a is assessednal evaluatioves, which cts more thanh flood risksprocess sho

essing the co

ation

pplied in larghe Cranbrook

of participae number of tive exchangvia the platfopants in th

DIANE-CM pr

DING INITIATIV

ble without inand hydrau

e platform ai Criteria Antives for indivd as final so

he stakeholdque for Ord

orative modepports

common und

evaluation oated, quantifie

atives againsalternatives

ns who pro

collaborativeeness of theollaborative e process, toent. Secondl

assessment d with continon), and sat

can properly n the durations within the ould be accompetencies

e catchmentk with a size nts two diffeparticipants

ge possible borm is not ree Collaboraroject it was

VE ON FLOOD

nput from difulic modellingnd web-pubalysis (MCAvidual stakeholutions, theers. In DIANer Preferen

elling proces

derstanding

of alternativeed (as much

st different pofor future imduce centra

e modelling pe selected anmodelling pro some extenly, the level ois actually twnuous solicittisfaction witbe assessedn of an indivtarget groupessed via finof the traine

ts (such as Aof 9 km2.

erent scalesis restricted

between partestricted to anative Modellilimited to 20

RESILIENT C

fferent stakeg, setting uplishing skills

A) decision mholders and aese rankings NE-CM one ce by Simil

ss with works

about the cu

es with an ah as possible

ossible futurmplementatioalised inform

process neednd commonlyrocess needsnt ensures sof satisfactiowofold: satistation of feeth the outcod only after idual researcp / local comnal evaluatio

ed local cham

Alster river c

for applicatto more or l

ticipants. ny maximuming Exercise

0 persons.

OMMUNITIES DIANE-CM

holders. Furtp and devel

s. For the Comethods, whiaggregated rcan be consuch MCA

larity to Ide

shop series,

urrent flood

adapted set e) and visua

e scenarios. n.

mation and

ds to be assy accepted s to be asseuch effective

on of the partsfaction withedback and omes of thelonger perioch projects. Fmmunity, whon interviewsmpions.

catchment w

ion are possess 30 perso

m number of pe is depend

thermore CMloping socioollaborative ich provide rrankings for ntinuously up

support meeal Solution

the platform

risk in the r

of measurealised in a cu

pass it on

sessed with rFRM alterna

essed. Particeness, but thticipating sta the processadaptation d process in

od of participFinally, the d

hich resulteds and quest

ith 600 km2)

sible. Embedons or to a g

participants. ded on the

25

M requires o-technical Modelling ranking of the whole pdated by ethod was

(TOPSIS

m and the

respective

es. These ustomised

to other

respect to atives and cipation of e ultimate keholders s and the during the

terms of pation and developed from the ionnaires,

) and also

dded in a group size

technical

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26

Degree

Within DIAtechnical pahydrologicamaking inclu The CME crequires sci

3.10.3 Collaborativmethods areThe collabocase studieThe framewsituation, (2The single s

F

of imple

NE-CM projartners. Genl and hydrauding all rele

could basicaentific and e

Exampl

ve modellinge more or les

orative modes.

work for both2) definition osteps and su

Figure9: Screen

2ND CRUE F

DIANE-CM

mentatio

ject the metnerally the maulic modellinevant stakeho

lly be applieexpert suppor

le

g was the kess contributin

elling was su

approachesof external scub steps are

nshot of the coll

FUNDING INITI

on

thod was immethod can ng, web-devolders.

ed by any aurt.

ey and overng to this apppported by t

s was the folcenarios, (3) illustrated in

aborative platfo

IATIVE ON FLO

mplemented be applied

velopment a

uthority, but

rarching meproach. he collabora

lowing: (0) sproposed alFig. 7.

orm – here fram

OOD RESILIEN

by scientistby any aut

and full com

the setting-u

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ative platform

system definiternative and

ework for the ap

NT COMMUNIT

ts in close thority whichmitment to

up / develop

the DIANE-

ms, which we

ition, (1) desd (4) the rank

pproach in both

TIES

cooperationh has compparticipatory

pment of the

CM project.

ere develope

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case studies

with the etence in

y decision

e exercise

All other

d for both

he current natives.

Page 38: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

The steps aworkshops see table 1

Figure10: Ove

2ND

and sub stepwhich took pin chapter 3

rview of the tim

D CRUE FUND

ps of the colplace in the .4).

eline and struct

DING INITIATIV

laborative mtwo case stu

ture of the CM a

VE ON FLOOD

modelling proudy areas (fo

approach in both

RESILIENT C

cess were cor the works

h cases study a

OMMUNITIES DIANE-CM

conducted wshop structur

areas.

ithin and betre and conte

27

tween the ent please

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28

Figure11: Scre

3.11

3.11.1 The aim of outside the (b) Modeller

eenshots of the

E-lear

Contex

the DIANE-Cproject) andrs (c) Real ti

2ND CRUE F

DIANE-CM

collaborative pl

ningpl

t and Aim

CM e-learnind make it avame operators

FUNDING INITI

atform for UK a

atform

m of Met

ng platform isailable onlines and emerg

IATIVE ON FLO

and Germany. T

m

thod

s to collect ae to a varietygency manag

OOD RESILIEN

he German plat

and organisey of stakeholdgers and (d)

NT COMMUNIT

tform is in Germ

e knowledge der groups, General pub

TIES

man language.

(both from wincluding (a)

blic.

within and ) Planners

Page 40: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Field of

Participation The DIANEvariety of sttraining matcollaboratioModellers (ceach targetmanagemen

3.11.2 The e-learnlearning mawhere trainground.

Input an

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D CRUE FUND

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s for flood risgers and Gethemselves.

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ation

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mentatio

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VE ON FLOOD

raining

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od

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ment targetedc, which can

earning consvaluated by f the project)

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rgency mana

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knowledge aThe platformin an organis

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le. An anytimfrom this res

agers and G

OMMUNITIES DIANE-CM

and makes itm allows accsed fashion, ps are targeneral public athe open so

and stakehedge. This isxperience an

(www.mood

s, Modellersanically with

luable tool blity and interm will be ma

me-anywheresource.

General publi

t available ocess to educ

designed toeted: (a) Plaand a short c

ource Moodl

olders to ads especially nd knowledg

dle.org). The

s, Real time the additio

y project parerest on behaintained for

e approach to

c will benefit

29

online to a cation and o allow for anners (b) course for e content

dd to the important

ge on the

e material

operators n of new

rtners and half of the

at least 3

o learning

t from the

Page 41: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

30

3.11.3 The DIANE

A figure of seen belowwas develoThe platformaterial, eitwithin the designed tcollaboratioFour coursewere desigThese incluReal time oGeneral puany of thesCM, these material presentationstudies asacademic p

Figure

Exampl

-CM E-Learn

the front pagw. The DIANoped in Morm allows ther collecteproject, in

to improve on between es plus an ingned and upude courses operators, Eublic. Whenese groups wewere added of each ns, lecture s well as, papers and p

e 13: Overview

2ND CRUE F

DIANE-CM

le

ning platform

ge of the plaE-CM e-lear

oodle (http://access to

ed are actuaan organiclarity an

“trainers” antroductory geploaded in for: Plannermergency mever specificere generate

in the courscourse

notes, guidwherever

ublications.

of the module fo

FUNDING INITI

m can be acce

atform can brning platform/moodle.org/a variety olly developesed fashion

nd allow fond “traineeseneral coursthe platformrs, Modellers

managers anc material foed by DIANEse. The maiconsists odelines, cas

appropriate

or planners

IATIVE ON FLO

essed at: htt

be m ). of ed n, or ”.

se m. s, d

or E-n of se e,

An exafound inA set teachersplatformincludinetc haveinteractifunctionalso avathe casthe e-letaught sa formanot stud

F

OOD RESILIEN

p://diane-ele

mple of then each coursof guidances has also b

m. Advancedg forums, ce been embion between

nality, such aailable, althoe of DIANE-

earning platfosource of mative tool – gi

dents, but act

Figure 12: Fron

NT COMMUNIT

earning.org/

e types of ce can be seee documentbeen createdd functionalitchats, video bedded in the

teachers anas online in

ough none ha-CM. It was orm would baterial and inven the targetive, knowled

t page and log-i

TIES

contents thaen in the figuts (for studd and uploadty for online sessions, e platform to

nd students. Anteractive quave been desfelt that at t

better serve anformation, raet audience dgeable prac

in to the e-learn

at can be ure below. ents and

ded in the courses, calendars

o facilitate Additional

uizzes are signed for this stage as a non-ather than which are

ctitioners.

ning

Page 42: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

4 C4.1

4.1.1 Major Type Size of CatcPast flood eEnvironmencanalized loSocio-econopart. High d TheAlster c47% of the area and mwhereas theThe averagfor whole G1990](LSBGIn the city clakes(Binnewater and Rathausschin River ElbHamburg cAbout 10kmupstream dare cause Ammersbek

2ND

Case s

Alster

Main Ch

of Flooding:chment Areaevents: Sevental Setting:ower catchmeomic Setting

damage pote

atchment is catchment li

most part of e Alster catce annual rain

Germany whG 2009). centre of Haenalster and 3.25 m dur

hleusewhere be. A pumpiity centre th

m upstream oownstream wof frequent k.

D CRUE FUND

studie

r, Germ

haracter

Fluvial Flooa: 578 km² eral flood eve Natural upent (Hambur

g: Densely pntial in the lo

situatedin Noies in Hambuthe ground

chment in thenfall for the cich is 837mm

amburg the AAußenalste

ring high wathe Alster jong station a

he Alster is fof the Rathauwater level dflooding, the

DING INITIATIV

es

many

ristics

oding

ents during thpper catchmrg) opulated in

ower part of t

orthern Germurg and the is sealed, (

e North of Hcity of Hambm[this is bas

Alster River r) which hav

ater. A furthoints River Eat theSchaarfamous for iusschleuse tdifference ofe recent floo

VE ON FLOOD

he last 10 yement (Northe

the lower cathe catchme

many and coremaining insealing at th

Hamburg andurg is 764mmsed on metr

is dammed ve the sameer sluice(Sc

Elbeand protertorschleuseits charm anthere is anotf 3m. Upstreoding event

RESILIENT C

ars (last flooern Hambur

analized partnt

overs an arean Schleswig Hhe city centrd in Schleswm whichis leological data

by a sluice(e water levelchaartorschleects the inneprotects the

nd recreationher sluice ca

eam of this shappened in

OMMUNITIES DIANE-CM

od event 6th Frg and Sch

t and less po

a of approximHolstein. Hare and harboig Holstein isss thanthe aa from DWD

(Rathausschl ranging froeuse) is 1kmer city of Hame city centre nal activitiesalled Fuhlsbüsluice the Alsn February

February 20hleswig-Hols

opulated in

mately 600kmmburg is anuour area is s predomina

average annuD for the per

leuse) and fom 2.85 m dm downstreamburg from

from floodin rather thanüttlerschleusster and its t2011 mainly

31

11) tein) and

the upper

m2.Around urbanised 80-100%)

antly rural. ual rainfall riod 1961-

forms two during low am of the high tides ng. In the

n flooding. e, with an tributaries y at River

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32

4.1.2 Five groups- Adminis- Non-Go- Politica- Larger b- AffectedThe Agencystakeholderplatform asprocess act

4.1.3 Within the D- Stakeho

devcha

- Modellinelevexisof th

Level o

s of stakeholdstration and aovernmental l bodies business comd people andy for Street, r group had s well as partively.

CRUE A

DIANE-CM polder analyvelopment oampions. ng and mapvation modesting hydrolohe case stud

2ND CRUE F

DIANE-CM

Figure 14

of stakeh

ders have beauthorities atOrganisation

mpanies d general pub

Bridges andthe possibilirticipating in

Activities

project the folysis: stakehof an organi

ping: Existinel, setting upogic model (Kdy area were

FUNDING INITI

: The catchmen

older Inv

een identifiedt federal andns

blic d Waters haty to particip both. Every

s

llowing mainholder identigram and

g data are cp a 1D riverKalypso modeobtainedand

IATIVE ON FLO

nt of the River A

volveme

d and involved regional lev

s been techpate either iny participant

CRUE activtification anseveral soc

collected andr model with

del) and 1D rd coupled

OOD RESILIEN

lster in North G

nt

ed in the studvel in Hambu

nical partnern the worksht had the po

vities have bend analysisciograms, ide

d processed h HECRAS iver model (M

NT COMMUNIT

ermany

dy: urg and Schle

r in the DIANhop series oossibility to s

een carried o (including entification a

for the mod1D hydraulicMIKE 11 mo

TIES

eswig-Holste

NE-CM projer via the colshape the D

out: expert in

and training

el, setting upc modelling del) for the u

ein

ect. Every laborative

DIANE-CM

terviews), g of local

p a digital software,

upper part

Page 44: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

- A collainte

- Collabokick

- The Cobee

- A Schoo

4.2

4.2.1 Major Type Size of CatcPast Flood October 200Environmenis predominCranbrook iRiver constgiven that thopen channSocio-econoone of the htrade and htherefore th

Figure 15: Ove

2ND

borative weeractive mapsorative modek-off meetingollaborative Men conductedol lesson wa

Cranb

Main Ch

of Flooding:chment AreaEvents: Sev

00 and Februntal Settings:nantly urbaniis a tributaryitutes a bounhe water lev

nels of the Cromic settingshighest growhealth and se flood dama

erview over the

D CRUE FUND

b-platform ws, interactivelling: develo

g and four woModelling Exd. as developed

brook c

haracter

pluvial and a: 9 km² veral flood evuary 2009. : The Cranbrsed; the ma

y of the Rodindary condit

vels in the Roranbrook cats: the Borouing rates of tsocial care. age potentia

Cranbrook catc

DING INITIATIV

was set up e forum etc. pment of coorkshops withxercise for jo

d and conduc

catchm

ristics

fluvial

vents have b

rook catchmain water coung River, whtion for the ooding River (tchment. gh has a pothe UK. ThemThe Cranbrl is high.

chment and the

VE ON FLOOD

and custom

ncept for soch stakeholdeoint ranking

cted in a scho

ent, Un

been reporte

ment is locateurse is 5.75 khich in turn isoverland and(when at hig

opulation of 2main economrook catchme

monitoring equ

RESILIENT C

mised with t

cial learning ers and citizeof alternativ

ool situated i

nited K

ed since 192

ed within the km long, of ws a tributary sewer netw

h stage) affe

267,700, it ismic activities ent is dense

ipment

OMMUNITIES DIANE-CM

arget group

and collaboens. es for flood

in the flood r

Kingdo

26, with the m

London Borwhich 5.69 kof the River

works of the Cect the capac

s highly ethnare real esta

ely populate

specific inf

orative mode

risk manage

risk area.

m

most recent

rough of Redkm are culveThames. Th

Cranbrook cacity of the se

ically diverseate renting, wd and urban

33

formation,

lling. One

ementhas

events in

dbridge. It erted. The he Roding atchment, ewers and

e and has wholesale nised and

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34

4.2.2 Four categoa) Genb) Plan

Informatioc) Emergenc

Incident Md) Floo

4.2.3 Within the D- Stakeho

develop- Modellin

and a differenLocal ch

- A collab- Collabo

workshofor flood

- A speci

Level o

ories of stakeneral public: nners and on Team of thcy managers

Managementod managem

CRUE A

DIANE-CM polder analyspment of an ong and mapmethodologyt pluvial floohampions weborative weborative modeops with stakd risk managal session w

2ND CRUE F

DIANE-CM

of stakeh

eholders wercommunity mgovernmenthe LBR (Lons: Emergenct Team ment professi

Activities

project the folsis: stakehoorgani- and sping: 1D-1Dy for real tim

od events andere trained o-platform walling: develokeholders an

gementwere was conducte

FUNDING INITI

older Inv

re identified amembers, bual organisat

ndon Borougcy Planning

ionals: consu

s

llowing mainolder identifisociogram, id

D and 1D-2Dme forecast d alternative

on the modelsas set up andpment of connd the Collabconducted.

ed for training

IATIVE ON FLO

volveme

and actively usinesses, cotions: Enviroh of RedbridDepartment

ultants, mode

CRUE activication and dentification

D urban pluviof pluvial f

s for flood ris and metho

d customisedncept for socborative Mod

g of the ident

OOD RESILIEN

nt

involved in thommunity asonment Agege), Redbridof the LBR

ellers, water

vities have beanalysis (i

of local chamial flood modflooding wassk managem

odologies devd for this casecial learning delling Exerc

tified local ch

NT COMMUNIT

he project: ssociations ency (EA), dge SustainaR, London Fi

utilities

een carried oincluding 10mpions. dels were ses developedment were simveloped. e study and collaboise for joint r

hampions.

TIES

Planning Pability Forum re Brigade,

out: 0 expert in

et up in Infow. With thesemulated and

rative modelranking of alt

olicy and

EA Flood

terviews),

works CS e models, d mapped.

lling. Four ternatives

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5 RWork Paand horiz Work Packawere the fol

a) b)

c) d)

The results interactions- Brainsto- Docume- Exchan- Catego- Expert iThrough thnecessary acovers a suseveral distthis reason,than those same. Objective 1 The identific(STA). It pro In the Germpreliminary Hamburg. According to

- Admpart

- Pol- Org

spo- Lar- Affe

The stakehoin order to study:

‐ Cor‐ Sec

2ND

Result

ckage 1: zontal (mu

age 1 (WP1llowing: IdentificatioIdentificatiostudy sites DevelopmeIdentificatio

of WP1 are s. The frameworming ent analysis ge with locarisation of stinterviews

his common as the two caub-area of a ricts and eve, the level anidentified in

1: identificat

cation of theovides an ov

man case stubased on do

o this list theministrations ticular includitical bodies

ganisations (lort clubs at feger businessected properolder list wasfulfil the oth

re stakeholdecondary stak

D CRUE FUND

ts and

“Stakehoultidiscipli

) had four o

n of the relevn of vertical

nt of an organ of local cha

based on a work included

l professionaakeholders

framework ase study sitBorough (o

en parts of twnd number o

n Germany.N

tion of relev

e relevant staverview of rel

udy, a stakeocument ana

e stakeholderat federal an

de water manon federal alike nature co

ederal, regions companiesties and gens the basis fher objective

ers keholders

DING INITIATIV

d dis

older Analinary) inte

bjectives, wh

vant stakehoand horizont

ani- and socioampions

common frad, , the follow

als

comparabiltes differ sig

or municipalitwo federal-stof stakeholdeNevertheless

vant stakeho

akeholders alevant stakeh

holder list coalysis as well

rs in the Alstnd regional/dnagement annd regional lonservation nal and local in the Alstereral public in

for the stakees of WP1. T

VE ON FLOOD

cuss

ysis and eractions”

hich were fu

olders and retal interaction

ogram for ea

amework for wing aspects

ity betweennificantly. Thty), whereastates, each oers identified, the method

olders

and regionalholders, but

overing overl as on direc

er catchmendistrict level ind planning alevel in Hamorganisationl level in the r catchment;n the Alster cholder categThe followin

RESILIENT C

sion

vertical (

ulfilled in a s

egional playens between t

ach site

stakeholder s:

the two tehe Cranbroos the Alster cof which has in the UK cdology appli

players wasnot of their in

r 200 stakeht exchange w

nt cover five gin Hamburg aauthorities atburg and Sc

ns or farmer acatchment o

catchment. gorisation prog categories

OMMUNITIES DIANE-CM

(top-down

equential ma

rs in the twothe stakehold

identification

est sites wak catchmentcatchment inits own relev

case study isied in both c

s labelled asnteractions.

holders was with the tech

groups: and Schleswt the two levehleswig-Holsassociationsof River Alste

ocess, whichs were used

n and bott

anner. The o

sub-catchmders in the tw

n and analys

as ensured.t in the UK cn Germany cvant stakehos different ancase studies

s stakeholde

developed. Thnical partner

wig-Holstein, els; stein; ), citizen club

er;

h in turn was in the Germ

35

tom-up)

objectives

ments wo case

sis of their

This was ase study comprises olders. For nd smaller s was the

r analysis

The list is r LSBG in

which in

bs and

essential man case

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36

‐ MulThe categothe Alster caand spatial also ENGOfarmers, poas multiplicaThe core srelevance omanagemenSame as wianalysis as

In the UK cThe list waswebsites of regulations, The identifie

- Acccarr

- Acc- Local c

RedbridChamppassed enhanc

- PrimaryemergeAlthougdue to l

Länder au

Regmana

Water m

Water s

ltiplicators risation wasatchment anplanning ad

Os and wateolitical bodiesators (cf. Tabstakeholdersof secondary nt, but couldith the stakewell as on d

case study, as created baf other gover, etc.) and als

ed stakeholdcording to thry out:

a) b) c) d)

cording to thechampions: tdge, they eition Stakehoon, so that e resilience o

y Stakeholdeency managegh they play limitations in

Core stakeho

uthorities (waterspatial planni

gional authoritieagement, spatia

ENGOs in Ham

maintenance asSchleswig-Hols

upply and dispoHamburg

2ND CRUE F

DIANE-CM

based on thend for the DIAministration er maintenas and allotmeble 2) have high stakeholder spread the iholder list, thirect exchan

a list of over ased on the arnment agencso on inform

ders in the UKeir role in flo

General pubPlanners Emergency Flood mana

eir relevancehese are thether producelders are thethey can useof the local cers: these stement; they a key functio skills, availa

lder

r management, ng)

es (water al planning)

mburg

ssociations in stein

osal company

Table 2: Sum

FUNDING INITI

e role and reANE-CM projin Hamburg nce associaent clubs. Sc

influence ors is lower anidea of DIANhe categorisange with the t

30 stakehoanalysis of dcies involved

mation provide

K case studyood risk and

blic

managers agement profe to flood riske main instit

e or centralise ones to we them for thcommunity totakeholders usually get

on in FRM, dable resourc

Sec

Political bod

Regional EN

Farming

Civil

Municipal

Utility

Regional b

Citizen, s

mmary of the cat

IATIVE ON FLO

elevance of tject. The corand Schlesw

ations. Secochools, nurs

on flood risknd multiplicatNE-CM and ination of staketechnical par

lders was prdocuments (ed in flooding,ed by key sta

y were classievent mana

fessionals (cok managemetutions coordse informatiohom the del

heir daily opeo flooding. are highly r

t informationdue to the th

ces (including

condary stakeho

Residents

dies on Länder level

NGOs in Schles

and angling ass

protection autho

ities in Schlesw

and traffic com

businesses and

sport and allotm

egorised stakeh

OOD RESILIEN

the stakeholdre stakeholdewig-Holstein

ondary stakeeries and re

k managemetors might non parallel raiseholders wasrtner LSBG in

roduced durie.g. the Red, water manaakeholders.

fied accordinagement and

onsultants, ment and to thedinating flooon and passliverables of eration to im

relevant in fn and instrucheir roles, teg time availa

older

and regional

swig-Holstein

sociations

orities

wig-Holstein

panies

companies

ment clubs

holder in the Als

NT COMMUNIT

ders for flooders are mainon Länder a

eholders areeligious group

ent in the Aot have any se awareness preliminariln Hamburg.

ng the first mdbridge Locaagement bills

ng to two critd to the type

modellers) e DIANE-CMod risk and es it on to othf the DIANE-prove flood

flood risk mactions from chnical expe

ability) and/or

Re

ster catchment

TIES

d risk managnly water manand regional e inter alia ps have bee

Alster catchmdirect link to

ss about flooly based on d

months of thl Council wes for the UK,

teria, as folloe of activities

M project: event managher stakehold-CM project risk manage

anagement the local ch

ertise/capabir conflicts of

Multiplicator

Schools

Nurseries

eligious groups

gement in nagement level, but residents,

en defined

ment; the flood risk

d risk. document

he project. ebsite, the , UK flood

ows: s that they

gement in ders. The would be

ement and

and flood hampions. lities, and interests,

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they arHowevethese co

- SecondinvolvedHoweveThe pubrisk commore af

- Tertiaryregular would bplay a vcommu

Table 3:

Local Ch

EmergencDepartment o

Borough of

Environme

Flood Foreca

*Stakeholders community. Objective 2two study a The resultswhich was the stakeho In the AlstestakeholderDuring the cooperation

2ND

e not suiteder, they wouonstitute an

dary Stakehod in flood eer, the Seconblic/governmmmunicationffected by floy Stakeholde

direct contabenefit from ivery importannity.

Categorisation

hampions

cy Planning of the London f Redbridge

ent Agency

asting Centre

who could play

2: Identificaareas

of the stakapplied in th

olders. The n

er catchmenrs had interes

interviews n, conflict po

D CRUE FUND

d for directlyld benefit froimportant anolders: theseemergency ndary Stakeh

mental institut between th

ooding and hers: communact with the improved toont role as mu

of stakeholders

Primary

Redbridge

Metropolita

Fire

Highways aDepartmen

Borough

Tham

y a very importa

ation of vert

eholder anahe two study etwork analy

nt expert intst and enougthe experts otential, inte

DING INITIATIV

y operating tom having dind useful inpe are eithermanagemenholders do ptions are mo

he local leadave a larger nity membepublic. Thesols and measultipliers of flo

s according to th

Stakeholders

e Local Council

an Police Servic

e Brigade

and Engineeringnt of the Londonh of Redbridge

mes Water

nt role as multip

tical and ho

alysis (in Gerareas in ord

ysis was bas

terviews wegh resources

were questerdependenc

VE ON FLOOD

the modellinirect access ut for their op

r private/pubnt as the Pplay a significre involved i flood authorole during ers, commun

se stakeholdesures for flooood preventi

heir relevance to Second

Local in

e Planning

LondR

Trans

g n

National

pliers of flood pr

orizontal int

rmany and Uder to identifed on expert

ere planned s forparticipationed abouies as well

RESILIENT C

g tools deveto the resultperation.

blic/governmePrimary Stakcant role in fn strategic p

orities and themergency rity organisaers are likelyod managemon measures

o flood risk man

ary Stakeholde

Councillors (asndividuals)

Department of don Borough of Redbridge

sport for London

Express (RailwOperator)

revention measu

eractions b

UK) were thfy vertical ant interviews.

with all 23 ating. ut informatio

as authority

OMMUNITIES DIANE-CM

eloped in thts obtained w

ental institutkeholders afacilitating floplanning or thhe public. Thesponse and

ations and oy to be affec

ment, and soms and flood r

nagement and th

ers Tert

s

the

n F

way Comm

MayRiv

Redb

R

Scho

Broa

RedVo

ures and flood r

between the

he basis for nd horizontal

core stake

n flows, cooy. Additional

e DIANE-CMwith these to

tions who aand local chood risk manhey act as a he private end mitigation. other organiscted by floodme of them arisk awarene

he DIANE-CM p

iary Stakehold

Residents

Businesses

Flood Wardens*

munity Associatybank Associatioverside Concern

bridge Flood For

Youth Groups

Redbridge NHS*

Canoe Clubs

ools and Daycar

dmed Road BaChurch*

dbridge Council oluntary Services

Utilities

risk awareness

stakeholde

the networkl interactions

eholders, but

ordination plly, informat

37

M project. ools, since

re not as hampions. nagement. bridge for ntities are sations in ding, they also could ss in their

project

ders

*

ions: on, n*

rum*

*

res*

ptist

for s*

in their

ers in the

analysis, s between

t only 19

rocesses, ion about

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38

interests, peresponsibilit In the UK cperception omanagemeninteraction winformation interviews w Objective 3 Based on tthe expersociogramsthe sociogrdiagrams(cf Due to the and the asrisk managsummarise one singlesociogramsinformation stated categset up:

- All intestakintestak

- All m- All u

Based on ththe interviestakeholder“coordinatiodiscussion dstakeholderinformation,Additionallycatchment wfrom the porganigram responsibilit

erceptions anties was gath

case study 1of flood risk nt, the informwith other stor resource

was summar

3: developm

the informatirt interviews were deverams were sf. GTZ n.s.: 1

size of the ssociated coement it wathe stakeho

e sociogras were develo

collected. gories three

mutualeractions keholders a

eractions wkeholders anmutually desunilaterally dhe sociogramewed expertsr network aon processesduring the wrs in an app, the sociogra

y, an organigwas develop

parameter tagives the g

ties in Hamb

2ND CRUE F

DIANE-CM

nd concernshered during

0 structured in the study

mation and retakeholders (s for flood rised in a par

ment of orga

ion collectedws organi- eloped. Basso called ra15) (cf. Figur

Alster catchomplexity of as not possiolder interactm. Insteadoped based oFor each osociograms

lly desbetween

as well awith second multiplicatscribed interadescribed intems, potential s. Obviously

and furtherms”, “coopera

workshop shopropriate andams have no

gram(cf. Figuped based onable as wellgeneral publiburg (and is a

FUNDING INITI

of the core g the interview

interviews wy area, their esources tha(including floisk managemrameter table

ni- and soci

d from and

sis for ainbow re 16).

hment flood

ble to tion in

d, 12 on the of the s were

cribed core

s all ondary tors actions betweeractions betfor improvem

y, thesesociomore the fuz

tion” and “cowed that thed general maot been publiure 17) for fln the results l as the resc an overvieavailable on t

IATIVE ON FLO

Figure 16: Ap

stakeholdersws and captu

were conducprevious exp

at are availabow of informament, amonge in order to f

iograms

een core statween core sment was ideograms coulzziness of tonflict potene sociogramanner.Due toished. lood risk maof the expersults concerew over the the platform)

OOD RESILIEN

pplied rainbow d

s about floodured in a par

cted. The inteperiences wble to them iation, coopergst others. Tfacilitate its a

keholders stakeholdersentified and d only provthe presentential” needs

ms reflect theo sensitivity

anagement inrt interviews (rning authorflood risk m).

NT COMMUNIT

diagram for the

d risk managrameter table

erviewees with flooding, n order to deration, poten

The informatianalysis and

s discussed d

vide a genered categorieto be kept existing inteand comple

n the Hambu(using in parrity and inteanagement

TIES

German case s

ement as wee.

were asked atheir role in eal with flood

ntial conflictsion collecteduse.

uring a workral overview es “informatin mind.Howeractions betexity of the v

urg area of trticular the inerdependencrelated adm

study

ell as their

about their flood risk

ding, their ), missing

d from the

kshop with over the

ion flow”, wever, the tween the visualised

the Alster nformation cies). The

ministrative

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In the UK casingle orga“rainbow” cochampions,this band thThe arrowsstakeholderpotential coshapes than

- Thefloowat

- TheSertact

Lastly, a sqcontact withprevention to the inteFurthermoreindicated thinteractions

Figur

2ND

ase study, it ani- and socorresponds t who gather

hat informatios in the diars (flow of ionflicts; potenn can be seee Environmenod forecastingter flooding, pe Redbridge rvice and thetical and opequare shape h many commeasures an

erviewees ase, the sociohat the socios that take pla

re 17: Organigra

D CRUE FUND

was possibleciogram, whito one stakehmost floodin

on flows to thagram shownformation; ntial flow of ien in the diagnt Agency, thg, which inclparticularly inEmergency

e Local Counerational leve

was used fommunity memnd flood risks well as t

ogram was pogram includace between

am showing the

DING INITIATIV

e to summarich is shownholder categng informatiohe outer bandw the differe

flow of infonformation;

gram group the Flood Forudes providin urban areaPlanning Decil work clos

els). or those Tertmbers, we ck awarenessto other stapublished in es all releva

n them.

e tasks and resp

VE ON FLOOD

rise the staken below (Figory: the inne

on and coordds (to the Prent types o

ormation andand potentiahose institutrecasting Ceng warning f

as. epartment, thse together in

tiary Stakehoconsider to b

in their comakeholders w

the collaboant stakehold

ponsibilities for f2011)

RESILIENT C

eholder intergure 18). In

er band of thedinate flood rimary, Secon

of interactiond close coopal cooperatioions who wontre and the for extreme r

e Fire Brigadn flood incide

olders who, be key multi

mmunity. Thewho attende

orative platfoders of the s

flood risk manag

OMMUNITIES DIANE-CM

ractions betwn this diagrae rainbow corisk and emendary and Tens that takeperation; flown). In additio

ork closely onMet Office w

rainfall that c

de, the Metroent managem

given their rpliers of our

e resulting diaed the colla

orm. In genestudy area a

gement in Hamb

ween stakehoam each baorresponds toergency, andertiary stakehe place betww of informa

on, the pink an specific taswork close tocould lead to

opolitan Policment (at the s

role and regur project andagram was paborative weral, the staand it reflects

burg (Condition

39

olders in a nd of the o the local d it is from holders). ween the ation and and green sks: ogether in surface

ce strategic,

ular direct d of flood presented orkshops. keholders s the real

: April

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40

Objective 4 Based on identified.Thauthorities Important cchampions managemencatchment: Floods DireAlster catchmodelling. The identificconsideringdistricts).Thand the locdecisions athe accepta In the UK cDepartment

4: identificat

the resultshey are key (and the scharacteristicsfrom the ount. Contrarya staff mem

ective andthehment.Furthe

cation in the as local ch

hroughout thecal championnd took over

ance of this p

case study, tht of the Lond

2ND CRUE F

DIANE-CM

Figure

tion of local

s of the staplayers and cientific projs of the loca

utset, are a cy to first asmber of theLSe identified loermore the

e run-up of thhampions (ine collaboratin was ensurer an active ro

person as loc

hree local chdon Borough

FUNDING INITI

18: Organi- an

l champions

akeholder acould be deect, respectl championscertain know

ssumptions, SBG. This in

ocal champioLSBG has

he workshop particular thive modellinged; the locaole during thcal champion

hampions weh of Redbrid

IATIVE ON FLO

d sociogram for

s

and networkescribed as atively) and t, that limited

wledge and conly one lo

nstitution is n is well conaccess to

ps was not ahe water mag process a l champion c

he collaboratn was his tec

ere identifieddge, the Env

OOD RESILIEN

r the UK case st

k analysis, a link betweethe stakeho the number competence ocal champiresponsible

nnected with flood related

applicable asanagement a

close coopecontributed tive modellinghnical AND l

d: Representvironment Ag

NT COMMUNIT

tudy

possible locen the technolder and th

of persons win the comp

on was idefor the implethe majority d data and

s several staadministratioeration betwto whole CMg process. Olocal knowled

atives of thegency and t

TIES

cal champioical partnerse local comwho could acplex field of

entified for tementation oof stakeholdis well gro

keholders wn in the fou

ween the proM process, thOne success dge.

e Emergencyhe Flood Fo

ons were s or acting mmunities. ct as local flood risk

the Alster of the EU

ders in the ounded in

were worth r relevant

oject team he project factor for

y Planning orecasting

Page 52: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Centre. Theissuing warFurthermoretraining sesgenerated tresults in th Further ach In addition the German

1) Com2) Sch3) Eva

procFor the comapplied to tcommunicathe DIANE-public), the project in reas multiplicparticular be In order to school lessHamburg hlesson incluflood risk aevent role pfor teachers Involving sparticularly stakeholderawareness. Flood risk aflood risk aworkshop. Tstakeholder In the UK ca- Commu- Evaluat- TrainingAs mentioncase study,they were rereach local associationsSpecial leafphone callsand, in addi

2ND

ese three insnings, implee, they showssion was cathroughout the future.

hievements/

to the four on case study mmunicationhool lesson aaluation of scess

mmunication the local sitution expert w

-CM logo (tophotographi

elevant presscators of theecause pote

ensure susson about fhas been deudes an introand fluvial flplay. This less in Hamburg

schools actiimportant a

r groups wh

awareness isawareness wThe survey rs’ perception

ase study, thunication stration of flood rg of local chaed above, a local authorelatively easresidents, a

s, high schoflets were de

s). The produition to this th

D CRUE FUND

stitutions cementing and

wed great intarried out fohe project to

/deliverable

objectives dearea: strategy for

about flood ristakeholders

strategy a cuation in the was involvedo support a cic and cinems, the distribue project. Thntially affecte

stainability oflood risk meveloped anoduction in cooding as wsson will be g.

ively in theas pupils areen talking a

s one importwas prepared

results showns about floo

he following categy for sperisk awareneampions anda communicarities and goy to engagea person waools, health cesigned anduced databahe collaborat

DING INITIATIV

ntralise all td coordinatinterest in our

or the local co them and

es of WP1

escribed abo

target groupsk managemflood risk a

common framAlster catch

in the implecommon lookmatic documeution of flyer

he implemened residents

of the projecmanagementnd tested. Tclimate chanwell as a flomade availa

e project we an importabout flood r

tant aspect id and filled w that the Dod risk in the

complementaecific target gess amongst d discussion oation strategovernment ag. However, thas hired for centres and sent out to se and leafltive worksho

VE ON FLOOD

Fig

the informatig responsesr project andchampions, to guarantee

ove the follow

p specific comment in the Aawareness b

mework washment. To imementation ok and feel ofentation of thrs in wet spontation of the

got actively

ct a t in The nge, ood able

was tant risk

in flood risk out by the

DIANE-CM pAlster catch

ary activities groups

residents of results (iny was develgencies werehe critical poa week to cother institutmany of the

ets were docops were doc

RESILIENT C

gure 19: Flood e

on about flos, setting regd were very in order to te a sustaina

wingfurther a

mmunicationAlster catchmbefore and a

s developed mprove the qf the strategyf the project he involvemeot areas (cf. We communicinvolved in t

managemenparticipants

project had ment.

were carried

a separate sloped betwee contacted oint proved tocreate a dattions that coe identified icumented as

cumented thr

OMMUNITIES DIANE-CM

event role play dHamburg

ood events: tgulations, am

willing to tatransfer the

able impleme

activities hav

n ment

after the DIA

together witquality of they. The most for the stak

ent process, WP2) as weation strateghe participat

nt. That’s wh prior the fi(in many ca

d out:

session) en Leuphandirectly (by eo be the genabase and t

ould potentianstitutions (as part of therough photog

during a school l

they are in mongst other

ke part in it.knowledge

entation of th

ve been carr

ANE-CM pa

th ICL and ae concept animportant ou

keholders anthe position

ll as involvingy was a sution process.

hy a questiorst and afte

ases) an infl

a and ICL. email and pheral public. Ito contact c

ally cooperatealong with ee involvemengraphs and v

41

lesson in

charge of activities.

.A special and tools

he project

ried out in

articipation

afterwards n external utputs are d general

ning of the g schools

uccess, in

nnaire on er the last uence on

In the UK hone) and n order to ommunity e with us. mails and

nt process videos.

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42

In the UK flopreviously cquestionnairesidents. Tknowledge the flood risa useful too Lastly, a seproject on tothe activitieresults and CM. Even thougupon Dutchinterviews. managemenin, and for trelated to oaccount dur(for detailedthesame exafter comple Discussion Although alwas originathorough wdevelopmenhorizontal in Besides the In the Gerregional/disinvolvemenauthorities dawareness as a generaPotentially aDIANE-CM to motivate (time, profesessions anprocess migThe informaTherefore, collaborativorder to shoin the resultowards the

ood risk awaconducted byre which wasThe results of flood risk

sk assessmeol for customi

eparate sesso the local ch

es and tools are keen to

h DIANE-CMh experience

Interviews nt. The expetheir advice oorganising staring the impld results fromxperts have aetion of the p

n

l objectives ally expected

way in order nt and analnteractions b

ese general a

rman case strict level) art process indid not feel rof spatial pla

al problem inaffected residparticipationresidents tossional, and nd participatght have beeation mappedit was not poe platform. Inow the resultlts and ident

e improveme

2ND CRUE F

DIANE-CM

areness amoy the Redbris made avaiof this anaand are hardnt provided aising flood ris

sion was orghampions of

developed work with us

M did not haves in stakehhave been

erts have beon how to (nakeholder wementation o

m these interalso been inproject, desc

of WP1 haved. The stakr to consideysis of the

between the s

aspects, som

study the Sre relevant fon the Alster responsible oanning abou flood risk mdents were an process. F get activelyfinancial), b

ted via the cen influencedd in the sociossible to usnstead, an ats and discutified possibnt of flood ris

FUNDING INITI

ngst the locaidge Local Clable throughlysis indicatd to engage a clear pictusk managem

ganised in orthe UK studthroughout t

s in future pr

ve a case stholder partic

conducted en asked for

not) approachworkshops an

of the DIANErviews see Jvited to atte

cribed later in

e been reackeholder andr all relevanorgani- and

stakeholders

me case study

STA showedor flood risk m

catchment or had not enut their relevaanagement.

a second impor this purpo involved in

but were succcollaboratived externally biograms for tse and discu

additional woss potential le options fosk managem

IATIVE ON FLO

al residents wCouncil (in 20h the collaboe that, in gin flood risk re of the cur

ment strategie

rder to passy area and inthe project. rojects which

tudy in The Ncipation in f

with 8 exr their experh stakeholdend design of E-CM approaJonoski, 2010nd the final

n this docume

hed in a satd network ant groups ind sociograms are quite co

y specific iss

d that the smanagemenin particular

nough resourance for floo

portant stakeose the comthe process.cessful as up platform. H

by the flood ethe Alster causs the resurkshop with tfor improvem

or action. Coment processe

OOD RESILIEN

was assesse007) and als

orative platforgeneral, the managemenrent situationes to be impl

s the most ren that way eThe local c

h constitute a

Netherlands,flood risk mxperts in starience in the er participatio

tools for colach in the ca0, and van ADIANE-CM went.

tisfying way, nalysis need

n the participms was timeomplex.

sues are disc

spatial plannt in general ar. Unfortunatrces to partic

od risk mana

eholder groupmunication s. These activp to six affec

However, theevent in Febratchment is vlts during ththe interviewment. The stonsequently,es in the Als

NT COMMUNIT

ed based on tso through arm and was local reside

nt related actn in the studyemented in t

elevant outpnsure contin

champions wa continuatio

the project management

akeholder pprojects the

on. Expert opllaboration, wase studies aAndel and Joworkshop fo

this processded to be cpation procee-consuming

cussed in wh

ning authoriand for the ately most ofcipate in the gement coul

p that was distrategy covevities consumcted residentseir motivationruary 2011. very complexe workshop

wed stakeholdtakeholders the sociogrter catchmen

TIES

the results ofa flood risk acompleted b

ents have littivities. In spy area and cthe future.

uts of the Duity and app

were pleasedn/follow-up o

team decideby means

participation ey have beenpinions werewhich were tand Germanonoski, 2010r sharing ex

s took more carried out ess. In parti as the ve

hat follows.

ities (on fedaims of the Df the spatialprocess. Thild probably b

ifficult to invoered several

med a lot of rs joined the n to participa

x and partly sessions an

ders was orgshowed grearams could cnt.

f a survey wareness

by 10 local ttle or no ite of this,

constitutes

DIANE-CM plication of d with the of DIANE-

ed to draw of expert in water

n involved e obtained taken into

ny and UK ). Most of periences

time than in a very cular, the rtical and

deral and DIANE-CM

planning is missing be judged

olve in the l activities resources workshop ate in the

sensitive. nd via the ganised in at interest contribute

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- -

- - - -

-

-

In general, that need toThe applicastakeholderconsuming.stakeholder In the UK cmanagemencritical missflooding, whcurrently mproject, pro“boosted” bresponsibilitpluvial floodIn contrast, have very lohave little oof the DIANleaders andprovided waactivities in The elaborinteractionsdifferent cofinal result; observe theand the devthe Local Cfor the gene Against firscollaborativchampions of technicalflood risk mspecially trasuccess fac

2ND

Specific

Complete stOrgani- andfor flood riskCommunicaLocal champSchool lessoEvaluation o

Lessons

Stakeholderbut the effosuccess. Missing parauthorities)

sensitivity ofo be consideability of sors seems qu Due to ofters could be in

case study tnt in Redbri

sing gap in flohich the locaust undertak

ovided great by the new Fties to local

d risk managthe work w

ow flood riskr no knowled

NE-CM projecd to have fewas very usefuwhich they t

ration of thes in a single dnventions (ethey conside

e interactionsveloped socio

Council and iteral public

st assumptioe modelling in the two cal AND also l

management ained (cf. Wctor for acting

D CRUE FUND

c Outcom

takeholder lis sociograms

k managemeation strategypions for Craon for high sof stakeholde

s Learne

r identificatioort is worthw

rticipation inreduced the

f informationred for netwociograms fo

uestionable aen limited timnterviewed w

the STA alloidge. Througood risk manl champions ke. The locasupport and

Flood and Wauthorities aement.

with the genek awareness.dge of flood ct as being ow communityul; they foundook part.

e organi- andiagram; howe.g. colours, er that the des between thogram allowet was perceiv

ons that variprocess sho

ase study arlocal knowlenetwork. AlthP2), the comg as a local c

DING INITIATIV

mes

st for Alster as showing staent. y for target granbrook and chools in theers’ flood risk

d

on and the awhile conside

nterest or mpossibilities

n and the comork analyses

or broad invas they arevme resourceswhich in turn

owed havingghout this anagement anperceived a

al championsd took active

Water Managand to some

eral public w The turnoverisk and prev

of great use ty members jod the project

nd sociogramwever, it wasshapes, tex

eveloped diahe different sed local chamved as being

ious stakehoowed that oreas. Reasondge about thhough the lombination of champion.

VE ON FLOOD

and Cranbrooakeholder int

roup specificAlster catch

e Alster catchk awareness

analysis of inering the re

missing awaof the partic

mplexity of ts. volvement prvery complexs it is probalimits the qu

g a clear picnalysis urba

nd therefore ts being very

s identified te part in it. Tgement Act ae dependenc

was significaner rates in thvious flood eto them. It waoin two of theinteresting a

m was time s finally possxtures, etc.).agram picturetakeholders.mpions to deg useful. How

olders couldonly a few pens for this arhe conditioncal champioboth kinds

RESILIENT C

ok catchmenterrelations a

c communicament. hment. .

nterrelations levance of

reness of scipation proce

he network m

rocesses in x and the deable that in cality of the so

cture of the an pluvial flothe focus of

y useful, as ithrough the STheir interesand other necies of gove

ntly more che study area

events; thereas possible te collaboratiand they men

consuming sible to summ

The local ces the real s. The informaetect weak linwever, the so

take over ersons couldre particularls in the catcns were inteof knowledg

OMMUNITIES DIANE-CM

nt. and clarifying

ation.

are a long tparticipation

stakeholders ess.

mapped are

larger catcevelopment complex netwociograms.

real situationooding was the project w

t supported mSTA showedst in the projew regulationrnment agen

allenging. Oa are very higefore, they doto interview sve workshopntioned they

and it wasmarise all thechampions wituation and ation collectenks betweenociogram wa

the role of d actually acy the need tchment, the nsively invol

ge and comp

g responsibili

term processfor the pro

(e.g. plann

two importa

hments withprocess is vworks not al

n regarding identified as

was put on thmany of the td great interject might hns, which asncies regard

Overall, local gh and most o not see thesome local cps. The feedlearned a lo

s hard to cae informationwere pleasedthey found it

ed from the i the different

as not very m

local champct as competo have a cestakeholderved in the pr

petence laste

43

ities

ses, oject

ning

ant factors

h a lot of very time-ll relevant

flood risk s being a his type of tasks they rest in the ave been

ssign new ing urban

residents residents

e activities ommunity back they

ot from the

apture all n by using d with the t useful to interviews t teams of

meaningful

pions, the etent local rtain level s and the roject and ed as key

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44

Work PainvolvemeManagem The objectiv - Collect- Custom- Creatio- Trainin- Creatio

activitie These objedifferent locthe approacto the particUK the focplanning anplanning, al In spite of tfrom the UKeach locatio Next, the wresults is pr Objective 1 In order to study. DevelopmeIn the Cranb(EA), the Uthese institudigital form,Council proprevious floAgency proflood modeevents, whiaccess to provided a mthese data Furthermorenarrative inf Besides thecollected thwere installlevel monitomeasureme

ckage 2: ent of theent) of the

ves of Work

tion and procmisation and on of materiag of local ch

on of guideles

ectives were cal conditionsches for the cular needs ocus was on nd managemthough pluvi

the differencK and Germaon was the sa

way in whichresented at th

1: Collection

collect the d

nt of Objectivbrook catchmK Met Officeutions were , as well as i

ovided shapeood events ovided a detals. Furthermch was usedNimrod datamodel of thetook longer

e, some of tformation pro

e data obtainrough our owed in the stuoring (iii) 2 sent in open

2ND CRUE F

DIANE-CM

“Data, me local ch

CRUE pro

Package 2 (W

cessing of relimprovemen

al suitable forampions ines for info

fulfilled in ss and given two case stuof the Cranbpluvial flood

ment. In conal flood anal

ces in the apany was kepame, thus en

h each of thehe end.

n and proce

data required

ve 1 in the Ument most ine and Thamecontacted fron narrative fo

efiles with bu(which were

ailed DTM omore, the EAd for calibratia (radar-base sewer netwr than expecthe models ovided by va

ned from thewn monitorinudy area: (i) sensors for w

channels. A

FUNDING INITI

modelling, hampions, ogramme”

WP2) were t

levant data fnt of flood mor collaborativ

ormatics sup

sequential othat the focu

udies differ torook catchm

ding and eventrast, in Gelyses were c

pproaches, pt throughout nsuring comp

e above obje

ssing of rel

d for flood m

UK case studformation waes Water (thom the very orm (throughuilding layoue used to v

of the area, wA provided raion and verif

sed rainfall ework, which iscted (approxor data sets

arious stakeh

e mentionedng system, w

3 tipping buwater depth mAll sensors a

IATIVE ON FLO

mapping and prov

the following

for local mododels and flo

ve modelling

pport to awa

rder for eacus of each cao certain ext

ment (UK) andent manageermany the onducted for

permanent cothe project a

parability of t

ectives was

evant data f

modelling, di

y: as provided he water utili

beginning ohout the expet, road maps

validate the which constitain gauge dafication of theestimates) fos essential foximately 6 ms were missholders or by

d institutionswhich was puucket rain gameasuremenare equipped

OOD RESILIEN

and NRTviding link

:

elling (data bood risk and h

areness rais

ch of the twoase study watent and the d the river Ament, withoufocus was or specific sm

ontact and cand the meththe results.

fulfilled is d

for local mo

ifferent sourc

by the Local ty of the are

of the projectert interviewss, location omodels), amtutes one of ata and wate models. Thor historical or urban pluvmonths), maiing details, means of da

, additional ut in place in auges, (ii) 1 nt in sewers d with data

NT COMMUNIT

T forecastks with th

base creatiohazard maps

sing and res

o case studas on a diffemethodologi

Alster catchmut neglectingon fluvial floall areas.

coordination hodological f

escribed an

odelling (dat

ces were co

Council, theea). Represet and they ps that were c

of critical infrmongst othef the main inter level datahe UK Met O

rain eventsvial flood moinly due to which had tata mining to

rainfall and April 2010. Tpressure seand (iv) 1 sacquisition

TIES

ting for she topic 2

n) s

silience enha

ies. Howeveerent type of ies had to be

ment (Germang mid- and ooding and

between theframework fo

d a discussi

ta base crea

onsulted in e

e Environmenentatives fromrovided inforconducted). Trastructure, rers. The Envnputs for urba from previ

Office provides and Thamdels. The coconfidentialitto be compleools.

water level The followingnsor for Rodensor for waand real-tim

stronger 2 (Event

ancement

er, due to flooding,,

e adapted ny). In the long-term long-term

e partners ollowed at

ion of the

ation)

each case

nt Agency m each of rmation in The Local records of vironment an pluvial ious flood ed us with es Water

ollection of ty issues. eted from

data was g sensors ding River ater depth

me access

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wireless comdata collecmonitoring dDevelopmeIn the Germ(LSBG). Thelevation dafor river discIn addition triver Alster Kalypso anprotected ha Objective 2 Based on tappropriate used to simflood hazardthroughout DevelopmeAs mentionPluvial floodthe surface and spatial provide accCranbrook cat high stag Consideringmodels of environmenwhen heavyset as downcatchment. In the dual-Water) wasthe EA), notSection 3.6 very detailereal time apof the surfathey can stmodel that iafter couplinsurface mod In the DIANpurposes: tsimulation Collaborativto create th

2ND

mmunicationcted throughdevices are pnt of Objectiv

man case sthe data provata (bathymecharge and wto raw data, (until Fuhlsb

nd the hydraabitats were

2: Customis

the informatflood model

mulate differed and risk mthe project.

nt of Objectied before, inding is causedrainage syscales; the

curate informcatchment m

ge) may affec

g these requthe Cranbr

nt, including y rain falls onstream bou

-drainage m coupled witting that the (1D surface

ed, accurate pplications (ince are fast atill representis used, two ng the modedel) or 1D-2D

NE-CM projeche 1D-1D mand mappinve Platform).hese models

D CRUE FUND

n units, whichh this systempresented inve 1 in the Gudy all the dvided by LSetry), shapefwater level, oa catchmen

büttler sluice)aulic model collected fro

sation and im

tion collectedls were set uent flood sce

maps. Further

ve 2 in the Un the Cranbred by intens

ystem is exceerefore, the fmation at themust also takct the capacit

irements, in ook catchmthe interactio

over the areaundary condi

odels a 1-dth a model ointeractions

e runoff modeand allow fo

ncluding NRTand thereforet the behaviodifferent typ

el of the surfaD (i.e. 1D sew

ct both kind omodel was usng of flood s Both models are provid

DING INITIATIV

h allow for mm is essent Figure 15.

German casedata was ob

SBG includefiles of the rivoperational innt (hydrologic) were also o

in MIKE 1om respectiv

mprovement

d in the firsup, calibratedenarios and rmore, flood

UK case studrook catchm

se local stormeeded. This flood modelese small scke into accouty of the sew

the UK casement were s

ons that takea. Moreover, tion, controll

imensional (of the surface

between theelling), the uor better visuT flood forece suitable forour of the ues of dual dace with thawer model +

of models wesed for forecscenarios as were imple

ded in Sectio

VE ON FLOOD

measurementtial for calib

e study: btained from d ascii filesver system, nformation focal) model aobtained from1. Furtherme authorities

t of flood m

st stage andd and customthe results omodelling an

dy: ent (UK) the

ms during whtype of floods and the racales. In adunt the effectwer system of

e study physiset up, whice place betwin these mo

ling the capa

(1D) model oe (generatede two systemrban surface

ualisation of casting), giver real time ap

urban surfacedrainage modt of the sew

+ 2D surface

ere implemecasting purpond flood risemented in Inons 3.5 and

RESILIENT C

ts to be accebration and

the Agency with topogshapefiles fo

or the pumpind a 1D hyd

m LSBG. Themore data ons and integrat

odels and f

d consideringmised for theobtained fromnd forecastin

e focus was hich the capding takes plainfall forecadition, the ut of the Rodif the Cranbro

ically based ch representween the urbodels the waacity of the d

of the sewed from a detams take placee can be modthe results; h

en its long runpplication, bue reliably. Ddels (describer network: model).

ented for the oses, whereak managemnfoWorks CSd 3.6 and a

OMMUNITIES DIANE-CM

essed in real verification.

y for Streetsraphic informor land use dng station, sdraulic modee hydrologican assets, dted in the an

lood risk an

g the focus e study areasm them wereng technique

on urban pluacity of the sace quickly ast used muurban pluvialing River, asook catchme

dual-drainat the compan surface a

ater level at tdrainage sys

r system (obailed DTM, we at the manhdelled in 1D however, thenning time. Iut they are le

Depending obed in Sectio1D-1D (i.e. 1

Cranbrook cas the 1D-2D

ment alternatS; details of talso in the r

time via IntePhotograph

, Bridges anmation and data, time seluices and riv

el for the uppal model waamage pote

nalyses.

nd hazard m

of each cas. These moe used to cr

es were also

uvial/surfacesewer netwoand at smallust be fast l flood mode

s its water leent.

age urban plulexities of tand the sewethe Roding R

stem of the C

btained fromwhich was prholes. As exor 2D: 2D m

ey are not sun contrast, 1ess detailed,n the type o

on 3.5) can b1D sewer mo

catchment foD model wastives (includethe methodoreport DIANE

45

ernet. The hs of the

nd Waters river bed

eries data ver gates.

per part of s setup in

ential and

maps

ase study, dels were reate new improved

e flooding. ork and of l temporal and must els of the vel (when

uvial flood the urban er system River was Cranbrook

m Thames ovided by

xplained in models are uitable for D models , although of surface be created odel + 1D

or different s used for ed in the logy used E-CM: I-2

Page 57: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

46

(“Guidelinesthe purposea new type surface is mprone to plubehaviour omost of theoverland moAs can be s1D-2D modfor real-timeet al. (2011)

 Table

s for informae of combininof model cal

modelled in 1uvial floodingof the overlae catchment,odels is enaseen in figureel. In additio

e applications).

a) Fi

e 4: Simulation

Flood Ev(return pe

30-y

100 y

200 y

2ND CRUE F

DIANE-CM

tics support ng the advanlled “hybrid” D, except fo

g). In the critnd network , is connecte

abled and wae20, the resu

on, the comps. More infor

 

igure 20: Flood

time of the 1D-

vent eriod)

D

r

yr

yr

FUNDING INITI

to awarenesntages of 1D was develop

or those areatical areas a more accuraed with the ater can flowults obtained

putational timrmation on th

extent in: a) 1D

1D, hybrid and

Duration

300min

300min

300min

IATIVE ON FLO

ss raising andand 2D surf

ped throughoas which hav

2D mesh isately and wit2D area in

w continuousd with the hy

me of the hybhe newly dev

b) D-1D model; b) H

1D-2D models f

Mode

1D/1D

Hybrid

1D/2D

1D/1D

Hybrid

1D/2D

1D/1D

Hybrid

1D/2D

OOD RESILIEN

d resilience eface models out the projece been ident generated ih greater desuch a way ly from 1D a

ybrid model srid model (T

veloped hybr

Hybrid model; c

for FEH rainfall

el S

D

d

D

D

d

D

D

d

D

NT COMMUNIT

enhancemenand to overcct. In the hybtified as criticn order to re

etail. The 1Dthat interac

areas to 2D ashow good aTable 4) is shrid models ca

) 1D-2D model

events of differ

Simulation t[hh:mm:s

00:01:46

00:04:31

00:45:23

00:02:11

00:05:20

01:11:10

00:04:40

00:05:49

01:16:05

TIES

nt”). Furthermcome their drbrid model mcal (i.e. as beepresent the

D model, whicction betweeareas and v

agreement whort, making an be found i

c) 

rent return perio

time s]

6

3

0

0

0

9

5

more, with rawbacks,

most of the eing more hydraulic

ch covers n the two ice versa. ith the full it suitable in Simões

ds

Page 58: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

As mentionflood risk mwere post-pSection 3.9Communica The 1D-1D techniquesmodels, impscale rainfainformation flood modeissuing earlnegative codevelopmenMet Office asoon be useoperational must specifindicate howset up whiobservation DevelopmeIn the Germcatchment ousing modethird level, sthe surface analysis of system wasappropriate obtain the sensitivity re Next, detailmodels mos As mentionLSBG. ThroFuhlsbüttlerthe river hadof the river upstream bcondition. TLSBG. Furthby LSBG.Tscenarios acollaborativ Objective 3 The objectivand jointly s

2ND

ned before, tmanagement processed in9 and in ation”).

and hybrid s for NRT foproved rainfa

all products asee Section

els is to enay warnings aonsequencent and work and other aced operationframework f

fy who is resw these procch automati

ns, rainfall for

nt of Objectiman case stuof the river A

el built in the surface watewas set up, surface floods not availabmodelling asewer syste

easons

s are providstly used thro

ed before, aoughout the r sluice and d not been mAlster and

oundary conThe main inphermore, thehe resulting and flood rise modelling

3: Creation o

ves of the coselecting the

D CRUE FUND

the 1D-2D halternatives

ArcGIS in othe report

hydraulic moorecasting oall downscaliand forecastsn 3.8 and alsble short-terand timely trs of pluviais currently

cademic centnally. Howevefor urban pluponsible for cesses shoulically links arecasting and

ve 2 in the Gudy, a 3-levAlster was mfirst level an

er flooding wusing the AO

ding in this able, so it wasnd forecastinem data. La

ded of the moughout the

a MIKE 11 mDIANE-CM Schaartorsch

modelled befothe output f

ndition. Moreut for the de

e model was model of th

sk managemprocess with

of material s

ollaborative me most appro

DING INITIATIV

hydraulic mos (which will order to creaDIANE-CM:

odels were pof urban plung technique

s, which are fo Wang et arm, real-timeriggering strual flooding.

being done tres) in orderer, before theuvial flood formodelling, fold be carriedall the compd downscalin

German caseel modelling

modelled. In nd the result

was analysedOFD tool devarea could nos not possibng of surfaceater, howeve

models develproject and i

model of the project a mohleuse (poinore. HEC-RAfrom the MIKeover, tidal developed mod

calibrated uhe lower parment alternah the stakeho

suitable for

modelling propriate altern

VE ON FLOOD

dels were ube describe

ate improved: I-2 (“Guid

part of the wvial floodines were devfurther fed to

al., 2011). The, street-scauctural and nThese foreat Imperial

r to test, verese methodsrecasting anorecasting, wd out). After tponents of ng routines, h

e study: g approach wthe second

ts were usedd in a small aveloped by Imot be carriedle to develo

e flooding).Afer, the trans

oped within in the collabo

river Alster (odel was but at which th

AS software KE 11 modedata of the rdel was the tsing time serrt of the riveatives, whicholders.

collaborativ

rocess entailnatives for m

RESILIENT C

sed to simued in Objectd flood hazardelines for

work carried g. In this direloped to geo the associahe final aim ole forecastin

non-structuracasting metCollege Lonify and refines can be impd warning m

warning and this framewourban pluviahydraulic mo

was implemelevel, selecte

d in the collabarea of Hammperial Colle

d, due to misp a dual drafter first discsfer could n

the first levorative mode

(until the Fuilt for the se

he Alster Rivewas used to

el of the uppiver Elbe watopographic ries data of wer Alster wash constitute

ve modelling

creating a smanaging flo

OMMUNITIES DIANE-CM

late differenive 3) and trd and risk mNovel Risk

out towardsection, in ad

enerate statisated pluvial flof the improvng of these al measures thods are i

ndon (in collae these methplemented in must be deve

event managork is in placeal flooding (odels and wa

ented. In theed scenario borative modburg. For thiege London. sing data (th

ainage modeussion it see

not be realis

vel approacelling process

hlsbüttler sluection of the er flows into build the 1D

per part of thas used as dand bathym

water flow ans used to sione of the

g

shared undeod risk in th

t flood scenthe associatemaps, as desk Quantifica

s the develoddition to the stically-feasiblood models ved rainfall aevents, thusin order to rein its final aboration withods, so thatfull scale, a

eloped (this fgement and e, a platform(i.e. real timarning system

e first level, simulation w

delling proceis area a 1DHowever, a

he model of tel which wouemed to be psed because

ch, as these s.

uice) was proAlster Riverthe Elbe); th

D model of thhe river wasdownstream etric data prnd level, alsomulate diffe main input

rstanding of e study area

47

arios and ed results scribed in

ation and

pment of hydraulic

ble street-(for more

and pluvial s allowing educe the stage of

th the UK t they can legal and

ramework must also

m has tobe me rainfall m).

the entire was made ess. In the D model of

complete the sewer

uld enable possible to e of data

were the

ovided by r between his part of his section s used as boundary

rovided by o provided rent flood ts for the

flood risk as. These

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48

objectives wmodelling tdifferent floothe hydraulithe differenExercise for DevelopmeIn the UK cdifferent flodiscussion w

- Sce- Sce- Sce- Sce

The design of the scenamore intenFurthermoreused as refe Besides theCranbrook c2D dual-draaddition, moto (e).  

RISK MANMEA

1- Do noth

2- Rainwa

3- Improvetargetedmaintenfor the s

4- Improvefor prevfrom enproperti

5- Improveflood fowarning

were achieveools. In genod scenariosic models we

nt alternativer ranking of a

nt of Objecticase study, tod events awith relevant

enario 1: 30 yenario 2: 30 yenario 3: 200enario 4: 200

rainfall evenarios the sum

nse and aree, Scenario 4erence to ev

e flood scenacatchment (bainage modeore details a

Table

NAGEMENT ASURE

hing

ater harvesting

ed and d nance regimessewer system

ed resistance venting water ntering ies

ed rainfall andrecasting and

g

2ND CRUE F

DIANE-CM

ed through cneral, the flos and also difere used to qs, which conalternatives.

ve 3 in the Uthe followingnd conditiont stakeholder

years return years return 0 years return0 years return

nts were takemmer rain pre more like4 was chosealuate the pe

arios, five (5based on disels previouslybout the mod

5: Proposed alt

TYPE

Base

g Mitigasourc

Struct

s

Mitigapathw

Non-s

Mitigarecep

Non-s

d

Mitigarecep

Non-s

FUNDING INITI

collaborativeood models fferent measquantitativelynstitutes one

UK case studg flood scenans in the Crars):

period eventperiod eventn period even period eve

en from the Urofile specifieely to generen as the baserformance o

) potential alscussion withy described.delling aspec

ternatives for flo

OF MEASUR

case

ation measurece level

tural measure

ation measureway level

structural mea

ation measureptor level

structural mea

ation measureptor level

structural mea

IATIVE ON FLO

activities andeveloped

sures for flooy and qualitae of the mai

dy: arios were sanbrook catc

t + low level t + high levent + low levent + high lev

UK Flood Esed in the FEHrate surfacese case in thof the differe

lternatives foh relevant st The selectects of each o

ood risk manage

RE

Currepointperfo

e at

e

It redRainwof theexisti

e at

asure

After risk critica

e at

asure

Resisenterresidsandlevel

e at

asure

With devespecfloodEnvirimprotimely

OOD RESILIEN

nd tools, whfor each cad risk manag

atively evaluan componen

imulated in ochment (the s

at the Rodinl at the Rodi

el at the Rodiel at the Rod

timation HanH was used, e flooding, e Collaboratnt alternative

or flood risk makeholders) ed alternativeof the alterna

ement in the Cra

DE

ent situation. for compa

ormance of the

duces runoff water harveste few SUDS ting built-up ar

identifying loof flooding, tal points can b

stance measring the propeual risk. In bags or floodswas modelled

the technloping, it will ific real-time forecast. This

ronment Agenoved warningsy issued.

NT COMMUNIT

ich were coase study wgement. Theate the impacnts of the Co

order to undscenarios w

ng River ng River ing River ding River

ndbook (FEHgiven that thas comparetive Modellinges for flood r

managemenand were mes are summ

atives can be

anbrook catchm

ESCRIPTION

This will bearing and e proposed me

or flow entering has been that can be reea.

cations whichtargeted mainbe carried out

sures prevenerty. It is usef

this case, saxs placed ad and analyse

nology we be possible rainfall and

s could be intncy warning ss for surface

TIES

nstantly supere used to

e results obtact and perforollaborative

derstand the ere defined

H). Furthermohe summer sed to winteg Exercise: iisk managem

nt were definmodelled usinmarised in Te seen in Fig

ment

used as baassessing t

easures.

ring the systeselected as o

etrofitted into t

h are at greatentenance at t.

nt water froful for managi

the effect at the househod.

are currento provide sisurface wa

egrated with tsystem, so thflooding can

ported by o simulate ained from rmance of Modelling

effects of based on

ore, for all storms are r storms. .e., it was

ment.

ed for the ng the 1D-able 5. In ure 21 (a)

ase the

em. one the

est the

om ing of

old

ntly te-

ater the hat be

Page 60: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

(a

(c). Alte

(this alternativperform

The base alterarea. The scenof the proposed

• Flood Estim

• Return Per

• Storm Durdifferent du

• Summer pr

• High levelmodel. Thi

Altmain

An effectiveensures that theat its maximum cor damage couthe capacity ofincreased surfaareas.

To analyse theobtained from imthe opposite sitthe effect of haclogged was mo

2ND

a). Alternative

ernative 3 – I

(e). Al

Figure 21: Des

Alternative ve is considered tomance of the other

a

rnative correspondsnario that will be used alternatives has th

mation Handbook (F

riod: 200 yr

ration: 60 min (deturations ranging from

rofile

at the Roding Rivers causes backwater

ternative 3: Impntenance regimmaintenance regim

e sewer system worcapacity. Any blocka

uld significantly reduthe system, leading

ace flooding in certa

benefits that couldmproved maintenanctuation was simulateaving a strategic podelled.

D CRUE FUND

e 1 – Base C

mproved ma

ternative 5 –

scription of prop

Integrate,

European Flood RiskIntegrate,

European Flood Risk

1: Do Nothingo be the base case,

alternatives will beassessed)

to the current conded as basis for testine following characte

EH) Design Storm

termined by runningm 40 min to 90 min)

(downstream boundeffect)

Integrate,

European Flood RiskIntegrate,

European Flood Risk

proved and targmes for the sewmerks

ageuce

toain

bece,ed:ipe

Clogged pip

Alternativrainfall anforecastin

DING INITIATIV

Case

aintenance

– Improved p

posed alternativ

Consolidate and Disseminate

k Management ResearchConsolidate and Disseminate

k Management Research

gagainst which the

e compared and

ditions of the studyng the performanceristics:

g the model for 5

dary condition of the

Consolidate and Disseminate

k Management ResearchConsolidate and Disseminate

k Management Research

geted wer system

pe

ve 5: Improved nd pluvial flood ng and warning

NOWCASTING

VE ON FLOOD

(b)

(d).

pluvial rainfal

es for flood risk

(equiva

It is ass(averagetrenches

This stothroughowater wa

Aresist

fro

It is assby floodcouldsandbagmeasure

Based opropertiepropertieestimate

With the meunder developpossible to forewith at least 3alternative doextent of flotriggering actiocritical infrastrupopulation.

RESILIENT C

). Alternative

Alternative 4

l forecasting

k management i

Alternative 2lent to reduction of

sumed that in a rooe) could be storeds, small detention ba

orage rate (5 m3 /out the catchment.as subtracted from th

Alternative 4: Imptance for prevenom entering pro

sumed that propertdwater with less tha

potentially be pgs, floodsax or otes (e.g. raising sidew

on this assumption,es protected andes that remain uned and mapped.

thodologies currentpment, it will soon becast surface floodin0 min lead time. Th

oes not change thooding, but allow

ons on time to proteucture, belongings an

OMMUNITIES DIANE-CM

2 – Rainwat

4 – Improvedproperties

and warning

n the Cranbrook

2: Rainwater hf runoff through eit

infiltration)

ofed area of 10 md (either through sasins at the househol

/ 100 m2) was appIn the InfoWorks C

he rainfall profile.

European FlEuropean Fl

proved nting water operties

ties surroundedan 50 cm depthprotected withther resistance

walks) .

the number ofthe number of

nprotected was

tlybenghishewsectnd

ter harvestin

d resistance

g

k catchment

harvesting her storage or incr

x 10 m (100 m2),storage tanks, infiltld level, etc.).

plied to all roofedCS model this volu

Integrate, Consolidate and Dis

lood Risk Management ReIntegrate, Consolidate and Dis

lood Risk Management Re

49

g

at

reased

5 m3

tration

areasme of

sseminate

esearchsseminate

esearch

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50

From the hwas extractestimate thewhich floodbuildings, roof flood riskinformation for the Colla

DevelopmeIn order to following flo

Sce Sce Sce Sce

Elb

Scenario 2 reference toand 4 are considered In the samalternativescan be seen

Alternative 1

Alternative 2

Alternative 3

Sustainable

Wetlandnatural r

Alternative 4

hydraulic simted: flood exe number of extent and oads and critk (more detaand maps w

aborative Mo

nt of Objectiestimate th

ood scenariosenario 1: 100enario 2: 200enario 3: 200enario 4: 200e

was choseno evaluate thvery extremas base cas

me way as ws were identin, some of th

Tab

Alter

1: Doing noth

2: Technical m

Modifi

3: Manageme

and careful m

restoration (rretention areas

4: Prevention

2ND CRUE F

DIANE-CM

mulations of txtent and floof properties adepth is rep

tical infrastruails about thewere includedodelling Exer

ve 3 in the Ghe effects ofs were simul

0 years return0 years return0 years return0 years retur

n as the bashe performan

me scenariosse in the CME

was done ffied for the

he alternative

ble 6: Proposed

rnative

hing (base ca

measures

ication of hydr

Constructi

ent of the catc

maintenance of

retention throus)

n

Improv

(Private) pro

Foreca

FUNDING INITI

the above flod depth. Thaffected by fpresented. Inucture were ae developedd in the collarcise for rank

German casef different flolated and ann period even period even period evern period eve

se case for tnce of the dif with very lE.

for the UK Alster catch

es correspon

alternatives for

ase)

raulic structure

on of reservoi

chment area

f water system

ugh activation

ved coordinatio

perty protectio

ast / Informatio

IATIVE ON FLO

ood scenariohis informatioflooding in en addition, laadded to the flood hazar

aborative platking of alterna

e study: ood events alysed: nt nt nt + pump faent + gate fa

the Collaborfferent alternow probabili

case study, ment. These

nd to a comb

flood risk mana

Modelli

Current s

es • LowSchl

• LowSche

irs Building

ms e.g. cleaof the Als

of

e.g. Duvlying in th

on Coordinaand othe

on Flood pro

on Installatioinformati

OOD RESILIEN

os and alteron was postach case an

ayers containe maps, with rd and risk mtform and it atives.

and conditio

ailure at Schaailure at Scha

ative Modellatives for floity of occurr

different “pe alternativesination of ind

agement in the A

ng example /

situation, no m

ering crest leuse ering crest euse

dike around H

ring trees fromster

venstedter Brhe in the uppe

ation of respr stakeholders

otection meas

on / improvemon of local res

NT COMMUNIT

rnatives, thet-processed nd to create ning informathe purpose

maps is giveconstituted o

ons in the A

aartorschleusaartorschleu

ling Exerciseood risk manarence; that i

potential” flos are summdividual meas

Alster catchmen

/ Description

measures are i

level of we

level of we

Hoopwishen vi

m Ammersbec

rook, further er parts of the

ponsibilities bs

sures at the ho

ment of predsidents

TIES

following inin ArcGIS, inflood hazard

ation about loe of conveyinn in Sectionone of the m

Alster catchm

se se + high tid

e: i.e., it wasagement. Scs why they

ood risk manmarised in Ta

sures.

nt

of the alterna

implemented

eir at Fuhlsb

eir at Wohl

llage

ck River, a trib

retention wecatchment

between auth

ousehold level

ictive mechan

nformation n order to d maps in ocation of

ng an idea 3.9. This ain inputs

ment, the

de at river

s used as cenarios 3

were not

nagement able 6. As

ative

büttler

dorfer

butary

tlands

orities

nisms,

Page 62: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

The potentiparticipants In the Alsteanalysed qu Same as inmanagemendescribed in By analysinwhich weregenerated –throughout

Objective 4 In each casthe beginninmethodologcontinuity a DevelopmeIn the UK, Borough ofcovering th

2ND

al measuress and also ba

er catchmenualitatively.

n the UK cant alternativen Section 3.9ng the results clustered in– see Figurethe Collabor

Figure 22: Int

4: Training o

se study, theng of the progies used andnd use of the

nt of Objectithe local c

f Redbridge,e urban plu

D CRUE FUND

s for flood riased on the fe

nt not all alt

ase study, tes were pos9). These mas of the modn groups acce 22). All thisrative Modell

teractive visuali

of local cham

e local chamoject. Afterwad developedese tools.

ve 4 in the Uhampions id the Flood

uvial flood m

DING INITIATIV

sk managemeedback pro

ternatives co

the results ost-processedaps were dispels together

cording to ths informationing Exercise

sation of wet sp

mpions

pions were iards, the sel throughout

UK case studdentified werForecasting

modelling an

VE ON FLOOD

ment were dovided via the

ould be mod

of the simuld and used played on thewith land us

heir geographn was include where the s

pots in the Alste

identified baected local cthe project,

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RESILIENT C

efined throue collaborativ

delled quant

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se maps, it whic location ed in the colstakeholders

er catchment on

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OMMUNITIES DIANE-CM

ugh live discuve platform a

titavely; but

e flood sceflood hazar

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(and maps ollaborative pcould rank t

the collaborativ

stakeholder awere trained isseminate t

nning Deparnment Agend and deve

ussion with and e-mail.

all alternati

narios and rd and risk to identify “wof the wet splatform and he alternativ

ve platform

analysis conon the main he results an

rtment of thecy. A trainin

eloped throug

51

workshop

ves were

flood risk maps (as

wet spots”, pots were was used

ves.

nducted at tools and

nd ensure

e London ng course ghout the

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52

project wasthese instituand also enof these me DevelopmeIn the Germcharge of thmodelling pmanagemeninformation model set uother membprocess we Objective 5enhanceme Based on t“Guidelines developed ( In this docuand afterwaare key foimplementein-house AOset up the d Discussion The objectivthe expectethroughout In general, studies wasdue mainly big modellinmaps was fdensity in ato the difficconfusing foextent and additional inin relation tocorrectly. Tsupported Regarding tmodelled. Tflood extent

s carried out utions. This tnabled us to ethodologies.

nt of Objectiman case sthe Hamburgprocess, its nt in the Alregarding th

up, scenario bers of the Lre discussed

5: Creation ent activitie

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(DIANE-CM:

ument a sumards detailedr near real-

ed throughouOFD (Automdual-drainage

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This, togethand enabled

the modellingThis was eitht (e.g. early

2ND CRUE F

DIANE-CM

on 10th Junetraining courassess the p.

ve 4 in the Gtudy one loc Alster catchpreparation ster catchm

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d.

of guidelins

dels and tooatics suppor I-2).

mary of the guidelines a-time pluvialut the projec

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were succeso the collaboment of this W

tion of the ddifficultand mtiality and orchallenges, difficult, as it ale, amongsttaining data s, who are mch most of thesides flood extent), it waher with thd successfu

g of flood risher due to limwarnings fo

FUNDING INITI

e 2011 and arse allowed dpotential ben

German casecal championhment. The and post p

ment as well the modellingand hazard mne day semin

nes for info

ols developert to awaren

modelling apare given forl flood forecct. These gund Flood Delvial flood mo

ssfully achievorative modeWP and seve

data requiredmost time corganisationalbut these wrequired de

t other, and for flood ris

more used tohem believeextent and d

as possible tohe visualisaul implemen

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ormatics sup

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ved and the melling processeral lessons

d to set up onsuming tas issues. The

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ent alternativthe model o

ooding). In th

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attendees wg the knowletial applicatio

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and has detaal contact wwhich includeation, was preminar differe

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modelling toos. However, were learnt f

and calibratsks (it took se setup and d. Overall, th

mation about eadily availabn, the conceserving floodk). However

by showing thidea of floodavailable

e CME.

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NT COMMUNIT

were represeedge produceon and barrie

member of olved througailed knowle

with several e preparationrovided to thent issues re

wareness ra

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each case s1D-1D pluviae most innovncept behindhe steps tha

ols developesignificant cfrom it.

te the flood ignificantly localibration ohe generatioproperty typeble in the casept of risk tud hazard as r, we found he location od risk and thin the Col

the identifiedcause the althere the alte

TIES

entatives fromed through thers for imple

the LSBG, hout the col

edge about stakeholdersn of geometre local cham

elated to the

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t, a documeement activi

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d and the uat must be fo

ed in this WPchallenges w

models in bonger than eof the modelson of proper es, values, pse studies. Iurned out to

representedout that by

of critical infrahe users undlaborative

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ernatives cou

m each of he project mentation

who is in laborative flood risk s.Detailed rical data,

mpion and modelling

resilience

nt named ities” was

presented els, which elling tool se of the ollowed to

P provided were faced

both case expected), s entailed flood risk

population n addition be more

d by flood providing

astructure derstood it Platform,

s could be o not alter uld not be

Page 64: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

modelled, qthe sewer s Although thdata was corisk manageapplied fram Besides the In the UK cathe stakeho(especially managemenhighlighted at which thito obtain anmodels wasthese difficmodelling aas useful anstage of dethe UK Metthey can solegal and oframework and must al All in all thetechnical papossible methis catchmsimilar charscenario of consider thaTherefore nprotection re For the Geidentifying cstakeholderin the critica“personalisi As initially srequired suthe implemein other cas

2ND

qualitative desystem was n

e two case sollected, flooement altern

mework (see

ese general a

ase study suolders foundgiven the nnt of surfacthat modellins type of floond, in some s longer thanculties, the wand forecastinnd promisingvelopment at Office and oon be used perational frmust specifylso indicate h

e setting up oartner in Geeasures in orent. This apracteristics. f the coincidat this is a snot (yet) a regarding sto

erman case current floodrs about the al areas. It wng” the conc

stated, the opport for the entation of thse studies.

D CRUE FUND

escriptions annot possible t

studies are rad models we

natives to beWP 3).

aspects of th

urface floodind the modeew regulatio

ce flooding), ng and forecoding occurscases, do n

n expected awork carriedng constituteg. As mentioand work is cother acadeoperationallyamework fory who is reshow these pr

of a catchmermany. It warder to learn

pproach givesOne constraence of a h

sensitive issureal risk discorm surges is

study it wasd risk (wet scurrent situa

was importancerns of the p

objectives ofcollaborative

his WP and t

DING INITIATIV

nd indicatorsto obtain bec

adically diffeere set up ane included in

is WP, some

ng was identelling outputsons which ha

as it enablcasting this tys makes it nenot exist. Thand caused id out througes a significaned before, currently bei

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ent-wide modas a good aabout the cus also hints

ain was the high tide andue due to ancourse in Hs followed by

s very impospots). Comation and for t to discuss participating

f WP2 were e modelling he obtained

VE ON FLOOD

s were used cause it was

rent, the appnd later on us

the collabor

e case study

ified as beings of the DIAave recentlyled modellinype of floodiecessary to e time speninitial delaysghout the Dant step forwthe NRT surng done at I) in order to before theseial flood forer modelling, ould be carrie

del for the And necessarurrent situatioas to how tolacking willind the failure n extreme stamburg is p

y the authorit

ortant and sumparatively,a

identificationon the level stakeholders

fulfilled andactivities. Fuoutputs cons

RESILIENT C

and proved considered a

proach followsed for simurative platfor

specific issu

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y been impleng of scenarng is possiblhave very dt in obtainin

s, which wereDIANE-CM pward and the

rface flood foImperial Colltest, verify a

e methods cecasting and forecasting, ed out).

lster catchmry basis for on and futureo deal with flngness for a

of protectiotorm surge epossible but ies.

uccessful tolot of time

nof possible of areas ands and citizen

d the develourthermore, imstitute a usef

OMMUNITIES DIANE-CM

to work wellas too sensit

wed in both olation of floo

rm – as struc

ues should be

gap in flood roject highly emented in trios and altle. The tempetailed inputg the data re later on maproject in te

relevant staorecasting mlege Londonand refine than be implemwarning muwarning an

ent was highrunning scee options to lood risk in oa public discon infrastructevent in 1962

moreover t

include thewas used fmeasures to

d not specials.

oped modellimportant lesful tool which

l. In Germantive data.

of them was tod scenarios ctured in the

e discussed.

risk managerelevant a

the UK regaernatives an

poral and spats, which arerequired to sade up for. Irms of surfakeholders as

methods are n (in collaborhese methodmented in fuust be develod event man

hly appreciatnarios and scope with floother catchmcourse of theture. Here w2 with manyhe paradigm

e local knowfor discussino reduce the l households

ng tools prossons were leh can be imp

53

ny data on

the same: and flood

e common

.

ement and nd useful arding the nd it also atial scale e not easy set up the In spite of ace flood ssessed it in its final

ration with ds, so that ll scale, a oped (this nagement

ted by the simulating ood risk in ments with e extreme we had to fatalities.

m of flood

wledge for ngwith the

flood risk s, to avoid

ovided the earnt from plemented

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54

Work Pacplatform. Cwith stake The objectiv1) The requand negotia2) The conrequiremen3) A compuflood risk m The objectivthe work: thcollaborativ

S

- D- C

mca

- Immwve

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eholders, m

ves of WP3 wuirements forated risk allocnceptual intets for stakehter-based planagement s

ves were mehe socio-tece platform. F

pecific O

atabases forustomised a

models for thatchment (Gemproved floomodels (with wwere simulateelocity were mproved urbupport to aw

essons L

Good quality pproach. he quality ofp and calibrauality data shisualisation o

acilitates discModels have e.g. by using he productiohallenging tand hard to elood risk” rreative solut

ndicators to epth and ext

was done in tupport to awGuidelines fohe tools de

orecasting co

2ND CRUE F

DIANE-CM

Developmend develop

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were the follor stakeholdercation that inegration of older participatform whichstrategies in

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flood model

f the models ation. For thhould be conof the resultscussion and dlimitations wqualitative in

on of materiaask: some flovaluate. Besrepresented tions must bassess flood

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FUNDING INITI

ent of shapment of a and commu

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which must bndicators/desl for collabor

ood risk mansides, data a

additional be implemend risk, overlr to convey aCM project waising and rquantificationhroughout Dep forward in

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elling and proved.

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e basis for ign of the

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Page 66: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

these workmembers. All developm Objective 1risk commbe analyse The requiremanagemenThe framewDIANE-CM collaborativworkshops.support is tactivities of the problemlearnt aboutThe basis fneeds of the

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2ND

king steps w

ments were a

1: The requunication ad

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work serves aproject. It

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work is structtion and testiof other staklead to iden

y it may lead by the exper

D CRUE FUND

were carried

adapted to th

irements fond negotiat

akeholder inv were workeas a basis foalso provide

which was useant to state feady commoe modelling, nd its formudge, values, ework is liteers who were

igure 23: Stage

tured into theing of the alt

keholders whntification of

to clarificatirts. This who

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OMMUNITIES DIANE-CM

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ood risk pence to flood

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55

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f flood risk

dies of the DIANE-CM d after the needs to

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views and

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d to more

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56

commonly aJonoski & EMany expervery compleIt is appareprepared mdifferent staand uncertasophisticatedevelopers instantiationThis is theworkshops collaborativthe platformexplanationUsing the Isupport stainterfaces, band develop Objective managemeelaborated This objectitaking into framework. in Figure 24On the clieplatform. Th- for visuaalternativescollaboratio(and progrestakeholderThe differenside. As deprevious se

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models, but takeholders, aainties, still ned user inter

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2ND CRUE F

DIANE-CM

ses of action

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D CRUE FUND

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58

The joint rawhich weresand (3) Colof alternativindividual raversus the individual ra The alternaresults secttested and r

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Page 70: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

For the UK others coulobjectives cscores usinTOPSIS alg Figure 27 gwith the coll

2ND

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D CRUE FUND

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OMMUNITIES DIANE-CM

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59

tors, while study the into crisp

ded to the

nteraction

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60

Figure 27: Illus Upon aggrewith similar current posalternativesalternativesalternativestheir evaluastakeholder

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2ND CRUE F

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NT COMMUNIT

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The CollabGermany byalternativesPreventive different typcarried out results need The implemworkshops DiscussionThe WP 3 synchronisinwere develoshowed thaand planninplatforms anThe set up ohad to be pGerman caEnglish, sinand what th There was the workshoHowever, thaffected peofire brigade

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VE ON FLOOD

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RESILIENT C

or the UK case s

out by parts no clear permany) there tool, it waes. Howeveh relatively s

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OMMUNITIES DIANE-CM

study (Cranbroo

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due to the fause the Ger

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8 participanr any of the

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hops).

nts were giv

ruary 2011 wement inter a

61

nts and in identified

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rough live

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when flood alia by the

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62

S

- C- C

depl

- A m

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G

L

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In the UK cFurthermoreworkshops The CollaboHowever, inthis platformSome quote

“The

“I

“In orde

WorkPackawareness The objectiv 1) A stakeintegrated in2) The Evaand use in flood risk m

Specific O

oncept for a oncept for aesign and twatform concept fo

method participatory

he CME conGermany) with

Lessons

ey factor: ThRM requires culture of u

elpful. The Cis a challen

rocess

case study, pe, the Collaand most of

orative Moden order for it m. es from the e

e exercise sh

It would be in

er for it to be

kage 4 “Cs”

ves of WP4 w

eholder consn the develo

aluation of ththe case stuanagement a

2ND CRUE F

DIANE-CM

Outcome

socio technia web-base

wo specified

or a Collabo

y web-basedtributed a reh different ba

Learned

he designingstrong intera

using a platCME should bge to filter th

participants paborative Mothe discussio

elling Exercisto be intens

evaluation:

ould show m

nteresting to

intensively u

Collaborativ

were the follo

sultation for pment of the

he developedudy sites wiaspects:

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es

ical approachd collaboratand case st

orative Mode

d decision mapresentationackgrounds a

g of a tool foaction with thtform for thebe integratedhe informatio

preferred usiodelling Exeons took pla

se was in gensively used i

more alternati

have more p

used in the fu

ve modelli

owing:

developmee socio-technd frameworkll be realised

IATIVE ON FLO

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elling Exerci

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or supportinghe stakeholde Collaboratid in a longer on to make it

ng the onlinercise was ce "live"

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ives, more a

people involv

uture, we woplatform.”

ng for flo

ent of socionical web bask, together wd. The evalu

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ative flood rim with a ge

ilored realisa

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eveloped, apperences of theame issue: h

g the decisioders ive Modellinparticipatoryt clear and e

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lternatives sh

ved in order

ould need to

ood risk m

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NT COMMUNIT

sk managemneric framewations of two

on extended

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on-making p

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forms instearied out dur

need to crea

hould have b

to have a bro

create a “cul

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TIES

ment work and o different

TOPSIS

aluated s (UK and

process in

would be

upport the

d of the onliring the col

te a “culture

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roader view”

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nt and en

ramework hng platform.

h their impleus on social

ne forum. laborative

e” of using

ed”

ng this

nhancing

as to be mentation lly related

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- Flood ri- Flood ri- Flood ri- Social a

3) Several (Germany) Objective 1has to be iplatform As describecase study wishes, avaidentified. In order toinstitutions, sociogramsBased on identified foAgainst thethe availablscenarios adecided in wTarget grouframework. The platformfeedback. As already especially sabout varioof the DIANevaluation aabout the vof learning objectives. Athe originallattitudes thaboth througsupporting eWhen it comtransparenclearning proThe social lthe knowledconsiderablstrategies focompatible processes.

2ND

sk awarenessk perceptiosk communi

acceptance ocollaborativeand London

1: A stakehontegrated in

ed in this chaareas. Inter

ailable data

o identify therespectively

s (here the Uthis informa

or the worksh backgrounde data and m

and alternativwhich ways tup tailored Interactive m

m was used

mentioned tsocial learninus aspects oNE-CM projeand testing oalues / interewas leadingAdditionally ly proposed at may lead tgh the interaenvironmentmes to the decy and also ocess. earning apprdge about the levels of or dealing wto the one Table 9illust

D CRUE FUND

ss on cation of flood risk me modelling s(UK) will be

older consun the develo

apter for worrviews with t

and inform

e horizontaly organi- anK example) a

ation the stahop series. d of intensivemodels and dves were idethey should binformation

maps with defor informati

he goal of cong. Within thof flood risk ectthe stakeof the alternaests of otherg to the idenit was leadinby the expeto more comactions amos that conveesign and deunderstanda

roach has alhe problem

uncertaintyith the probleproposed byrates how th

DING INITIATIV

managementsessions witconducted.

ultation for dopment of t

rk package 1the key stakation and s

l and verticand sociogramare given witakeholders w

e consultatiodata gaps foentified. Thebe followed iwere produ

etailed informon exchange

ollaborative he context oassessment

eholders ideatives within r stakeholderntification of ng to clarificaerts. This whmmonly agree

ng the diffey the results

evelopment oable visualisa

ready been at hand is v, and the pem) is not vey Webler et

hese objectiv

VE ON FLOOD

t strategies th identified

developmenhe socio-tec

1 a thoroughkeholders weshortcomings

al links or ms were deth Figure18. were catego

ons and discor FRM wereey were intron the further ced and pu

mation were ie (such as m

modelling isof flood risk

and managntified objecscenarios. Trs who werenew alterna

ations and reole process

ed courses oerent groups obtained by

of such enviration. This o

identified to very diversepossibility ofery likely. Thal. (1995),id

es were tried

RESILIENT C

stakeholders

nt of socio-tchnical web

h stakeholdeere conductes in integrat

missing linkeveloped. Th

orised and m

cussion with e identified. Foduced in thprocess.

ublished on ncluded, too

minutes, date

to stimulatemanagemenement. In th

ctives and aThrough this participating atives, but pefining of theconstitutes t

of action. In faand individ

y various modronments, theoverall proce

be suitable f, the known f reaching ahis understanditified a setd to be met w

OMMUNITIES DIANE-CM

s in the two

technical inb based coll

er analysis wed and informted flood ris

ks between he examples

most relevan

several meeFurthermore he workshop

the platformo. es tec.) but a

e the processnt, the diversecollaborativ

alternatives, process thein the proce

possibly alsoe risk assessthe earlier mact the learn

duals in the dels. eir key charaess is comm

for stakeholdfacts may b

a consensusnding of socit of objectiv

within the DIA

case sites:

tegration frlaborative m

was carried omation on n

sk managem

the stakehos for an org

nt stakehold

etings and wideas for the

p, discussed

m along the

lso for discu

ses of individse stakeholdve modellingand worked

e stakeholderess. This seco to re-definisment as commentioned ch

ing process process an

acteristic musmonly known

der participatbe charactes (commonlial learning pes for sociaANE-CM pro

63

Hamburg

amework modelling

out in both eeds and

ment were

older and gani- and

ders were

workshops e possible and then

common

ssion and

dual-, and ders learn g structure d with the rs learned cond level ing of the mpared to hanging of tookplace d via the

st be their as social

ion where rised with ly agreed process is al learning oject.

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64

Table 9

O(a

thkn

thac

otva

on

mmpr

Hoan

Objective 2implementa A first worRedbridge cproject andstakeholderDIANE-CM workshops structure an The evaluatWP1). A cltowards a mReasons foand the detaThe evaluatwho gave feidentified stThe discussdiscussion. The collabowork serieswere given case) playestakeholder

9: Objectives of

bjectives for after Webler et

he state of the nowledge);

he possible soccompanying (cause-eff

ther peoples' aalues

ne's own perso

methods, tools,municate well aracticing holist

olistic and intend application

2: The Evaluation and us

kshop (inforcase study.

d about the rs shared idproject. In Gand the wh

nd content we

tion of the floear result ofmore concrer the changeailed and cotions of the weedback wasakeholder grsions duringThe particip

orative platfos. Mainly the

by the simued the locars and citizen

2ND CRUE F

DIANE-CM

social learning

social learnit al., 1995)

problem (info

lutions and theconsequencesfect relations,

and groups' in

onal interests

and strategieand reach agretic or integrativ

egrative thinki

uation of thse in the cas

rmative sessIt was held expected paeas, concer

Germany the hole processere develope

ood risk awarf this study ete awarenee in awarenencrete informworkshop ses limited to oroup (cf. Wpg the workshants in Germ

orm was appe visualisatioulation of thel champion ns.

FUNDING INITI

and application

ng …

rmation and

e s predictions);

nterests and

(reflection);

es to com-eement and ve thinking

ng and itsuse

he developedse study sit

sion) with thon June 17t

articipation orns, previous

workshop ss was develoed in an itera

reness was cwas that the

ess, or knowess are inter mation that weries were coonly a few st1) gave feedhops were vmany apprecipreciated byn and also be alternative

who was a

IATIVE ON FLO

n in DIANE-CM

… and appli

Current floodstakeholders

Information orelations, proalternatives a

Discourse in Discourse via

Be asked for Evaluation inprocess. CME

CM, Worksho

Simulation ofperspectives

d framewortes will be re

he most relth 2010 and of the stakehs experienceeries was in oped in advative and ada

conducted de awareness

wledge aboutalia the impr

was availableonducted afttakeholders.

dback. ery intensiveiated very m

y all participabackground s were muca link betwe

OOD RESILIEN

project – here e

cation in DIA

d risk in Alster and riparians

on and discussognoses througand measures

Workshops a CP / Forum.

interest (Inter the beginningE

ops, Forum, C

f scenarios, in, „Getting a b

rk, together ealised

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line with thevance of theapted proces

uring the firss of the part the currentroved commue due to the Dter the last wHowever, a

e and all pauch the exchating stakehoinformation h welcomedeen the sci

NT COMMUNIT

example of the G

ANE-CM

catchment, fes, CME

sion of cause-gh modelling,

s, CME

CME

rview, Workshg and at the en

CME. etc.

cluding other igger picture“

with the pla

eholders wasion general t was providarding floodine time sched process bu

ss during the

st and during rticipants sligt flood risk sunication betDIANE-CM pworkshop. Tht least one s

articipants wehange with aolders and cand especia. A key roleentific proje

TIES

German case st

eedback from

-effect simulation of

hops) nd of the

atform thro

s carried ouinformation

ded. Furthermng and regaule. The des

ut the specifworkshop se

the last worghtly changesituation restween the pa

project. he number ostakeholder f

ere taking puthorities. citizens in thally the insige (esp. in theect and the

tudy.

ugh their

ut for the about the more, the arding the sign of the fication of eries.

kshop (cf. ed, mainly spectively. articipants

of persons from each

part in the

he DIANE hts which

e German group of

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Another pamembers. Tdirection anobjectives. approach aLSBG, is plin Hamburg Objective 3sites: Ham The workshOff-Meetingsituation anOver 200 stattended thmodelling pThe first coworkshop wexchange osession stakrisk manageduring the workshop hobjectives apresented asecond collaThe followinDIANE-CM presented aIn the last wthealternativthe possibilgroup profileIn the procsession repAll in all, therisk in the A As indicatedtook place institutions Redbridge Policy teamcommunity.understand stakeholdercollaborativand the devpart in the Time was sand obtain purpose). Tachieved vi

2ND

rt of the evaThe ISG memnd strategy oSeveral pote

at the Rijkswanning to us

g.

3: Several cburg (Germ

hop series ing. The objectnd challengestakeholders,

he Kick-Off-Mprocess eitheollaborative was thediscuof experiencekeholdershaement objecfirst workshheld in Janand alternatiand possibleaborative mong third worworkshop se

and intensiveworkshop sesves accordinity to compae. ess of the w

presentativese results of t

Alster catchm

d in Figure 2at Imperial

attended theLocal Counc

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r’s concerns e modelling velopment oplanned act

spared at thefeedback f

The second a the design

D CRUE FUND

aluation procmbers, who rof the project entials for pr

waterstaat in se the collab

collaborativeany) and Lo

the Germantives and cons in Hambur who have bMeeting and

er via the platmodelling sussion aboues and knowd via the col

ctives, the altop. The res

nuary 2011.Bves for the w measures todelling sessrkshop in Meries and the

ely discussedssion the Cong to their oware and discu

workshop ses from the diffthese collabo

ment and for i

29, a total ofl College Le first 3 mecil (including

ondon Fire ainstorming st situation reand interes

platform andof the exercisivities and in

e end of eachfrom the paand third se

ned web bas

DING INITIATIV

cess of the represented and monitor

ractical applithe Netherl

orative platfo

e modelling ondon (UK)

n case studynditions of Drg and Schlebeen identified most of thtform or in thsession tookut the currewledge of thelaborative plternatives ansults of thisoBesides theworkshop seo reduce floo

sion. arch 2011 fe measures d by the workllaborative M

wn preferencuss their spe

eries the groferent stakehorative worksimplementing

f 5 sessions ondon. Repetings; this

g the EmergBrigade, thesession servegarding floosts. The secod exercise. Inse were provn the Collabh of these se

articipants (sessions weresed collabora

VE ON FLOOD

project activall involved tred the projeications werelands. Anothorm in the fu

sessions w

y area startedDIANE-CM weswig-Holsteed in WP1, whem were inhe face-to-fack place in Dnt flood risk

e stakeholdeatform the pond scenariosonline consue discussioneries, first simod risk at the

focused prelgrouped in tkshop partici

Modelling Exeesregarding

ecific view/pro

oup composiholder groupshop sessiong the Floods

were held ipresentativesincluded repency Plannie Environm

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borative Modessions in orspecial feedbe exciting anative tools; t

RESILIENT C

vities was ththree countriect progress e identified. her is that thuture for the

with identifie

d in Novembere presentein explainedwere invited nterested in ce workshopDecember 20k situation irs. In betweossibility to ss as well asultation weren about andmulation reseseneuralgic

liminary on he single altpants. ercise was cothe (in the ruofile with the

ition varied tps (cf. WP1) wns serve as aDirective.

n the UK. Als from all rpresentativesng, Highwayent Agencypproach to thnagement inrd meetings meetings gubeginning a

elling Exercrder to discuback questiond interactiohe final resu

OMMUNITIES DIANE-CM

he continuouies, were takand its compOne is the a

he technical implementat

ed stakehold

ber 2010 withed and the fl by experts to the meetparticipating

s. 010. The mn the Alsteen the first asupplement athe wet spot

e a valuabled specificatioults at exem

c spots were

the identifieternatives. S

onducted. Thun-up) definee view of oth

to a certain were presena valuable in

ll of them, exrelevant staks from the dys and Engin, Thames Whe stakeholdn the study

were exclusuidance for thand later on ise via the c

uss the expeonnaires we

on between tult of these s

us feedback king care of tpliance with application opartner in

tion process

ders in the

h an informaood risk manfrom local aing; 45 of thg in the col

major aim ofr catchmentand second andcommentts that were

e input to thon/definition

mplary wet spe discussed d

d alternativeimulation res

he participaned objectiveser participan

degree, butt.

nput for redu

xcept for thekeholder grodifferent teamneering and Water and ers and enaarea, as wesively focusehe use of theall stakehol

collaborativerience and t

ere designedthe stakeholsessions was

65

from ISG he overall long term

of the CM Hamburg, of the FD

two case

ative Kick-nagement uthorities. e invitees laborative

f this first t and the modelling t the flood identified

e second of FRM

pots were during the

es for the sults were

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t in every

cing flood

e 4th one, oups and ms of the

Planning the local bled us to ell as the ed on the e platform lders took platform. he results d for this lders was s the joint

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66

ranking of asmaller andthe local cknowledge helpful the tthat interactand tools usin the study

alternatives fd only the lochampions thgenerated f

tools and knotion betweensed in these

y area.

2ND CRUE F

DIANE-CM

for surface fcal championhe findings from it. The owledge genn stakeholdee sessions en

Figure 29: Ou

FUNDING INITI

flood risk mans took part iand lessonslocal champ

nerated throuers in fact tonabled collab

utline of the wor

IATIVE ON FLO

anagement in it. The mas learned thpions were vughout the Dok place in tborative mod

rkshop series in

OOD RESILIEN

n Redbridgein purpose o

hroughout thvery interestIANE-CM prthe collaboradelling for im

the Cranbrook

NT COMMUNIT

e. The 4th anof this meetinhe project ated in the reroject. In conative worksh

mproved man

catchment

TIES

nd 5th meetng was to disnd transfer esults and fonclusion, it cahops and thenagement of

ings were scuss with them the

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68

the affectedorganisationface-to-facepossibility toparticipantsalternativesparticipationmostly by tcommunicais in particucase study public would A special cExercise. Ttwo test sitecould be su- The qua- Similarl- Technic All in all, thduring the was well as mentioned time-consumConsequenlimits the us A key factocooperationwork in WPstudy areasthat a heteprocess (In general puImplementindepends onproject.

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Due to the LSBG plansHamburg.Inand with theto best enga

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70

GuidelinesThese guidethe guidelinand in the models thaalternatives E-learning The e-learnknowledge contributingdirected to the ground.project adoarecontributstakeholderactions thatThe concepWhile the cowith the protransferable(http://mooddesigned toIn terms of t

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ational value,earning tool platform aimers, the aimindividually. e platform a

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communicatspecific outpund risk were e, the guideand of the

delling Exerc

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takeholdersANE-CM supholders to adis especiallywith significae, this appro

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- Ochoa, C., Dinkpluvial fInternat

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In addition, year (2011methodolog It is worth nafter the woavailable The DIANEThe projectits findingsprovided. The report ipart focusesThe project The final prOn 17th of Jworkshop win flood risk Because thconducted tworkshops, managemenNetherlandsstakeholderexchanging There wereteam, in adNetherlandstechnologichad been inand failure participationcollaborativSome of iss- -

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S., Evers, Mkneh, A., Simflood risk mational Confer

J., Almoramović, C., Ocement via co

M., Jonosungsprozessdings AcquaM., Jonoski,

h collaborativ

two more jo). These p

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noticing that orkshop seri

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ve modelling

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due to the ses in the two

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or policy mak

shop al Diane-CM o exchange innt. test site in t

put for the delier experiensa, the findir use in on

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people presUK was reprm Rijkswate and academarlier in the ps, potential f, and outlookand serious gn the discusskeholder parkeholder pa

arade).

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A., MaksimoWang, L., vanand resiliencban Drainagenoski, A., v

mões, N., Wmodelling. Conge, L., Tchwasserrisi

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VE ON FLOOD

ović, Č., Langn Andel, S.Jce through coe, Porto Alegvan Andel, J

Wang, L., Osomputing and

Teklesadik, ikomanagemcepted)

ange, L., Ochn of urban flo

developmendifferent peE-CM projec

the project py areas as o

Makers Repoarises the mae manner. F

t part providrecommendavailable in En

was held in th EU, and Du

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ge, L., Almor., Osmani, Sollaborative

gre, Brazil. J-S., Evers,

smani, S., Md Control for A. (2011):

ment am Beis

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nt and will berspectives a

ct in each of t

publications only after the

ort ajor informatFurthermore

es general pations for decnglish and in

he Netherlanutch experien

s of interviewplatform, ands with stakeroject are ofood risk maESCO-IHE, eholder involv

nationally conment Agencrastructure ah professionathat were raof governmef supporting

ch as exampthat unintent

or the sake

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radie, A., CoS. (2011). Emodelling: a

M., LangeMakropoulos,

the Water In„Kollaborat

spiel des Als

11):“Enhancility”. UFRIM

e submitted and emphasthe case stud

have prelime workshop

tion of the D practical r

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ds, in Delft, nces with sta

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les of bloopetionally own o

of stakeho

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ndustry, Exettive Modellister-Einzugsg

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71

kropoulos, t of urban tudy. 12th

sadik, A., Flood risk ter, UK. erung in gebietes“.

lder’s role s. Graz.

end of the laborative

nteresting sults were

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-IHE. The rticipation

nals were akeholder flood risk als in the at require aimed at agement.

M project from the industry,

eople that s, success akeholder

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74

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otiated with s will includeocused on m

paredness mood risk mood risk forec

he DIANE-Ceholder analyd relationshipsis the staked, and includartners.

NT COMMUNIT

ct to call

ive

as specified iy analysis h

activities inn in an easyof the “recepominant ove

oding and sm

catchment, ffective floodt which is a

bility with theBill.

nd modellingased the relgement. In ae used in pluevent manastakeholder

e measures fmid- term andmeasures (mo

anagement cast.

CM project. Inysis was conps were analyeholders wereded in the in

TIES

the

n the requirehad already

order to cry to understaptors” i.e. staerarching issumall urban ca

a novel detad event man real breakt

e recommend

g activities iniability of the

addition to puvial flood foragement in thrs. In line for reducing d long term ore focused plans (FRM

n order to conducted in bysed. e grouped, a

nteractive pro

ements of identified

reate and and visual keholders ues in the atchments

ailed flood nagement. hrough at dations of

n order to e maps at reliminary recast. he case of

with the flood risk

planning). on event

MP). Risk

onsider all both case

addressed ocess (i.e.

Page 86: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

The DIANEFRMP, as amanagemenrisk assessmWithin the cand engaginThe existinprocess. Yeprovided vaeffective anPublic authoprocesses aIn the UK, authorities responsibilitcase in Lonmany other The DIANEget feedbacIt offered thRedbridge; the enlargetools develowith flood ri

6.3 In this projethrough resthat can be common coavailable, sother casesThe two ca(where therdevelopmenthe case stconsistent ascale. The departure ipredominanbalance betmodelling.

6.4 Restrictions(such as trestrictions

2ND

E-CM projecta central parnt. In particument by the communicating public weg perceptionet it is clearaluable recomd more efficiorities/instituas well as for

a new Floomore respoties, local aundon Borougcases, not o

E-CM project ck from themhe possibilitythey also coment of the oped in this psk managem

Harm

ect, the expeearch and neused by eac

ore and the eo that the ne

s throughout ase studies re is no spent of consistetudies are qapproach anfirst aspect,n the collab

ntly from thetween the tw

Restr

s for broaderhe high de(like the la

D CRUE FUND

t contributed rt of the projular, the apprparticipatingion strategy

ere carried oun of stakeholy required immendationsient stakehol

utions gainedr technical apod and Watonsibility reguthorities havgh of Redbridonly within th illustrated a on risk percy for the sta

ould influencealready existproject will bement and to b

monisa

eriences andew developmch partner bexperiences ew technologEuropeafter integrated eecific case sent (trans-) n

quite localisend indeed po which is prborative mode social/stakwo needs thr

rictions

r implementamand of daack of clear

DING INITIATIV

a lot to streect was to troach propos stakeholderthat has be

ut. older participin the implems on the potelder participa

d valuable lespproaches foter Managemgarding manve not been dge) develope UK, but als

approaches fception and pakeholders te the implemting stakehoe taken overbetter involve

ation

d knowledge ments and thy customisincollected fro

gies and toocustomisatio

existing resustudy within national stra

ed, the projeoint to someredominantlydelling by theholder conrough the ac

s

ation of the pata requiredr roles and

VE ON FLOOD

engthen pubest a new psed in DIANErs. eendeveloped

pation often mentation ofential of usination. ssons for acor improved ment Act hanagement ofgiven more

ped and testso around Eufor how authpotential meao influence

mentation of tlder network

r by the locale public in it.

of each of te new produ

ng the tools tom the impleols developeon to the loca

ults from pasthis project

tegies of flooect results ine other potey expert-drivehe involved text. Therefo

ctual process

project resuld for collabo

responsibili

RESILIENT C

lic participatarticipatory/cE-CM create

d, creative w

is that this f the FD. Reng web-base

ctive stakehomaps and thas been recf pluvial floresources to

ted the methurope. horities couldasures to redthe process

the FD. Furthks in the two

authorities a

the participatucts are beinto the specifementation id in this projal conditionsst and on-got). This appod risk manandicate the lntial needs en and fram

stakeholderore the projs of stakeho

ts can be caorative modities for floo

OMMUNITIES DIANE-CM

tion in the escollaborativeed possibilitie

ways of diss

is a costly egarding this

ed platform a

older involveme near real tently enforc

ooding. In so cope with ihodology tha

d include staduce and mases and polichermore thiscase study

and will enab

ting countrieg integrated

fic needs of en our two caject can be

s. oing projectsroach highligagement. At imits of impfor tailor-ma

med in the Frs. The secect generate

older involvem

ategorisedaselling), orgaod risk man

stablishment method for

es for alterna

eminating in

and time-cs problem th

and tools for

ment and patime flood preced which gspite of havit. This proje

at can be rep

akeholders inanage flood rcies in Ham project contareas. In addble them to b

es are being into a “comm

each case stase studies implemented

s in The Neghts the potthe same ti

plementationsade solutionsD, served a

cond aspect ed insights ament via col

s technical reanisational/innagement),

75

t of future flood risk

ative flood

nformation

onsuming he project achieving

rticipation ediction. ives local

ving more ect (a pilot plicated in

n order to isk.

mburg and tributed to dition, the

better deal

improved mon core” tudy. This are made d in many

etherlands tential for me, since s of such s on local s point of emerges

about the laborative

estrictions nstitutional economic

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76

restrictions heterogene

6.5 The enhancgeneral levelevel of the and capacitDIANE-CM For enhanc- Improve- Newly d- Coupled- Quantifi- Improve- Insights- Insight i- Improve

the gen- Increase- Improve- Compila

which w For improve- Insight- Improv- increas- trained

informa

(e.g. lack ousstakehold

Enh

cement of reel by develocommunities

ty building prcontributed ing resistanc

ed data basedeveloped ord models whied risk asseed methods fs in cause-imin views and ed basis for ceral public ed flood risk ed linkage of ation of the gwill remain in

ed adaptive cts in cause-imved knowledgsed awarened local champation

2ND CRUE F

DIANE-CM

of appropriaders to get a

hancem

esilience by toping and tess which wererocesses. especially toce following ies and informr improved mich cover thessment for forecastin

mpact relationvalues of ot

communicati

awareness of vertical and generic findin

the public do

capacity follompact relatioge about mitiess of the invpions for sus

FUNDING INITI

ate funding actively involv

ment of

the DIANE-Csting methode involved in

o the aspectsissues playe

mation qualitymodels e whole catc

ng and nowcanships due toher stakeholon between

of pupils horizontal c

ngs in the proomain after t

owing aspectnships igation and a

volved parts ostainable imp

IATIVE ON FLO

and resourved).

f Resilie

CM project cads and provithe two cas

s of resistancd an importa

y about flood

hment

asting o simulated aders the relevant

onnectionsoject and thethe end of the

ts in DIANE-C

adaptation mof the public

plementation

OOD RESILIEN

rces) and so

ence

an be seen oding applicae study resu

ce and adaptant role: risk for both

alternatives

authorities a

eir “encapsulae project

CM played a

measures and of project re

NT COMMUNIT

ocial restrict

on two differable results. ults and took

tive capacity.

h case study

and also betw

ation” in e-le

an important

d their conse

esults and de

TIES

tions (like m

rent levels: OThe other lepart in socia

.

areas

ween authori

arning modu

role:

quences

eveloped data

motivating

One is the evel is the al learning

ities and

ules,

a and

Page 88: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

7 ImThe DIANEmodelling pThe major igroup tailortheir technioverarching Concerning- Improve

assessi- Establis

projectc- A valid

be use- Comple

scenar- Scenar The social i- The ho

intensifhas be

- Case sa solid of the F

- The DIAare nowrespecthese e

- The lomanag

- The inc

2ND

mplic

E-CM projecprocesses in implications red flood relical set up g implication

the technicaedquality of ng flood haz

shed data mcompletion; dated 1D-1D ed in the futheetion of the rio analyses; rios showing

mplications oorizontal as fied through

een identifiedstudy specific

basis for furFD); ANE-CM prow not only m

ctivelybut alsoeffects; ocal knowledgement concecreased poss

D CRUE FUND

ation

ct has (differthe two casefor stakeholdated informausable for fseveral more

al implicationflood related

zardleading tmeasuremen

model and ter;

Alster mod

g the potentia

of the DIANEwell as thetheir involve; c stakeholderther particip

oject contribumore aware oo on the pote

dge which wepts of the asibility for the

DING INITIATIV

nsfors

rent) implicae study areasders are miration (e.g. dflood risk me social or m

ns the followid informationo flood risk i

nt network f

the AOFD to

del from Fuh

al flood exten

E-CM projecte vertical cooement in the

er groups werpation proces

uted to the iof the “real” ential effects

was gathereuthorities e general pu

VE ON FLOOD

stake

ations for ths. rrored in the efinitions, le

management more technica

ng aspects nn as well asn the case stfor real time

ol that have

hlsbüttler Slu

nsion in the lo

t could be suoperation be

e DIANE-CM

re formed dusses in flood

ncrease of frisk in the As on flood ris

d though th

blic to report

RESILIENT C

ehold

e stakehold

two collabogal framewoby the resp

al implication

need to be cos improved gtudy areas;e forecasting

been set up

uice until Sc

ower parts o

ummarised aetween the

project and

uring the DIArisk manage

flood risk awlster catchm

sk reduction m

he workshop

t about their

OMMUNITIES DIANE-CM

ers

ers involved

rative platfororks, specificponsible autns could be d

onsidered: graphical pre

g in Redbrid

p and AOFD

chaartor slui

f the Alster c

s follows: responsible further pote

ANE-CM projeement (e.g. f

wareness of tent and the measures an

ps is integra

experiences

d in the col

rms, presentc conditions thorities. Besdistinguished

esentation (

dge usable

in Redbridge

ice usable f

catchment.

authorities ential for imp

ect. These gfor the imple

the participaCranbrook c

nd on how t

ated in the

and concern

77

laborative

ting target etc.) and

sides this .

maps) for

after the

e and can

for further

has been provement

groups are mentation

ants. They catchment o quantify

flood risk

ns

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78

8 P(Nares

With the precommendissues relatrecommenddivided into“larger” catc

8.1.1 Based on ththrough corecommend Gathering implementamodelling isidentificationto reduce flthe commusignificantlyConsequencarefully to will improve“tastes” of communitieobtaining infrom it make The use oenables e“transparestudy areaswas provideprovided in participant improved thprocess, wh5).

olicyationsearc

purpose of dations willbeted to the cdations are bo general recchments (8.1

Recom

he overall obollaborative dations were

and inclusation of colls the inclusin of missing ood risk, of unity, etc. Ty broadenedtly, we recomtheir experie

e the acceptathe local stas to floodin

nformation froe it worth inv

of web-baseeasy accesncy” and s

s was strongled and intethe platform

could accesheir understhich in turn f

2ND CRUE F

DIANE-CM

y recoal/Eu

ch nee

the project e presented collaborative based on thcommendatio.3).

mendatio

bjective of themodelling) awithdrawn a

sion of “lolaborative mon of “local”gaps in floo

potential obsThe contribu the scope mmend settiences and opance of floodakeholders.

ng.(cf. objectom them is

vesting time a

ed tools fors and cle

supports soly supportedractively dis

ms proved toss this informtanding of ffacilitates ac

FUNDING INITI

ommeuropeeds

(i.e. enhanin what follomodelling a

e experiencons (8.1.1) a

ons for g

e project (i.eand on the

and are next

cal” knowlmodelling m” knowledgeod risk manastacles for stution of the

of action fong up intenspinions. Thisd risk managAll this will

tives 3 andnot easy andand other res

r collaboratear visualisocial learnin by online cocussed amoo support thmation from flood risk anceptance of

IATIVE ON FLO

endatean le

ncing local ws. It includapproach imces gatheredand recomm

general u

e. enhancing e activities presented.

edge is esethods and

e in the procagement, of atakeholder e local stake

or flood risk sive exchangs will providegement mea

ultimately h 4). The prd is very timsources in th

tive modellisation of fng: The collaollaborative pongst particie collaboratihis/her own

nd ensured flood risk m

OOD RESILIEN

tions evel) a

communitieses data, poli

mplemented id during the mendations fo

use

the resilienccarried out

ssential for tools: A bas

cess. Stakehareas prone ngagement, eholders pro

managemege with stakee vital input fosures, as th

help in enharocess of co

me consuminhis activity (cf

ing supportflood risk aborative moplatforms whpants. The ive modellingn computer transparenc

management

NT COMMUNIT

and f

s’ resiliencecy making, sin the DIANDIANE-CM

or “small” ca

ce of local coto fulfil th

r successfusic compone

holders’ knowto flooding, of the role o

ovided very ent in the tweholders at aor the collabese are tailoancing the rontacting locg; however, f. objective 6

ts collaborarelated in

odelling prochereby informvisualisationg process aat any time

cy in the comeasures (c

TIES

furthe

e to floodingscientific and

NE-CM projeproject and

atchments (8

ommunities tois objective

ul development of the colwledge is vitof potential mof each stake

useful insiwo case stuall levels andborative modored to the nresilience of cal stakeholthe benefits

6).

ative modenformation, cess in the

mation about n and exchaand the fact e was very ollaborative cf. objectives

er

g), policy d practical ct. These are sub-

8.1.2) and

o flooding , general

ment and laborative tal for the measures eholder in ights and dy areas. d listening elling and

needs and the local

lders and s obtained

lling and ensures

two case flood risk nge tools that each helpful: it modelling

s 3, 4 and

Page 90: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

Face-to-faccontribute studies colladifferent stapotential mcollaborativmanagemengroups are awareness groups couflood resiliebe maintaistakeholder The use ofstakeholderweb-based experiencedis a shame project somthey could tcombination The identicommunicamoderator multi-criteriaand resourcflood risk mflood risk mwas carriedGermany thinvolved in sessions. Bwork with th The collabstakeholdedemandingmanagememanagemenare seldom stakeholderevaluation cthe tools insupport midcatchmentsby the Floodcould also bIf a Collabofollowing pogroup moduso far not technical fra

2ND

ce contact to setting uaborative woakeholders aeasures to e platform nt stakeholdbeneficial foand therefold act as mu

ent communitned in orders (cf. objecti

f web-basedrs, especiallytools develo

d several flooto “loose” th

me stakeholdetake part in tn with face-to

ification anation strucfor flood ri

a analysis, tces that are

management management,d out at thehe local cham

running theased on our

hem; this has

borative moer participatg in terms ent strategient requires ereadily avai

r network, thcriteria, hazan a particulad- to long-te

s with significds Directive.be used for Corative Modeossible hindrule is so far lsuitable for amework). It

D CRUE FUND

is crucial fup permanenorkshops weabout local flreduce floodwere prov

der groups ir integrated f

ore resilienceultiplicators fty. Consequeer to benefves 5 and 6)

d tools couy older oneoped in the Dod events in

hem due to thers who werthe collaborao-face meetin

nd “use” octures and sk managemaking into aavailable to in the area,

, amongst ote end and thmpion was tre simulationexperience,

s a big impac

odelling apption for imp

of data, mes where qenough time lable. Althouhe flood moard and risk r case studyerm flood ri

cant flood ris. Thus, in geCM processeelling Exercisrances shoulimited to a scases with

t is recomm

DING INITIATIV

or carryingnt participatre carried ouood risk mad risk took ided. The n the two cflood risk mae of the grofor colleagueently, we recfit from the).

ld limit the es, do not nDIANE-CM pthe past and

he limitationsre not familiaative modellinng like works

of “local ctrust thro

ment: In botccount aspethem, their ktheir willing

thers. In thehis ensured rained duringns and took we recomm

ct on the fina

proach provproved floodmodelling aquick result

for network ugh the geneodels, scenamaps) are cy takes timeisk managek flood hard

eneral data aes se should beld be kept insmall group olarge stake

mended to fu

VE ON FLOOD

out collabtion structuut in order tonagement. Vplace. Furthcollaborative

case study aanagement inup memberses, neighboucommend th advantage

participationormally useproject. This d have a betts that web-baar with compng activities shops is cruc

champions”ugh a direth case stud

ects such asknowledge oness to take UK a speciapplicability

g the collaboover an ac

mend early idal results and

ved to be ad risk manand time, wts are requanalysis as

eral approacarios and mcase specific e. Thereforement strategand flood ris

and models w

e carried outn mind: Theof people (uholder grouprther enhanc

RESILIENT C

borative modres for flood

o set up and/Vital discusshermore initiae modellingareas. Thesn the two cats. More impurs, etc. andat once set us of on-goi

on of some e computers

could be prter understaased tools im

puters speciacarried out vcial for these

” is usefulect and peies local cha their knowl

of flood risk, e an active pal session fo

y and continrative modelctive role duentification o

d on the cont

a good wayagement; howhich makeuired: Colla

well as gooh can be repanagement and the cus

, this approagies (cf. objsk maps havwill be availa

t within a col swimming pp to twenty),ps [this is ace the swim

OMMUNITIES DIANE-CM

delling sucd risk mana/or deepen thions about fal instruction workshops

se (more or tchments as ortant, the r

d thus could up, participaing exchang

groups of s and are nroblematic anding of the mpose for theal assistancevia the web pe processes.

for buildiermanent campions weredge of the their role in

part in commor training onuity of the lling processuring the coof local chaminuity of the

y of combinowever, thises it unsuitborative Mo

od quality daplicated in otalternatives

stomisation aach should jective 6).Ho

ve to be prodble for this a

llaborative mpoolvisualisa, which meanat least the mming pool v

cessfully aagement: In he exchangelooding probns on the us created f

less heterowell as for e

representativcontribute t

ation structurge between

stakeholdeot willing tos some of thlocal commuem. In the D was provideplatform.The

ing up sucontact perre identified area, the inthe commun

munity engagf the local cproject outc

s. He was forollaborative

mpions and cproject delive

ning models approach table for shodelling for ata and modether case stu(and the a

and implemebe seen as owever, sinc

duces, as it isareas and reg

modelling proation (cf. p. 6ns that the ecase within visualisation.

79

nd could both case

e between blems and se of the flood risk ogeneous) enhancing ves in the to a more es should different

rs: Some o use the hem have unity, so it

DIANE-CM ed so that refore the

stainable rson and through a

nformation nity and in ement for hampions comes. In r example modelling ontinuous erables.

ling with is highly hort-term flood risk els, which udies, the

associated entation of

a tool to ce for all s required gions and

ocess, the 61) in the

exercise is the used

. We also

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80

learnt that tusers; there Communicimproved: Modelling Emiscommuncommunicathe generalcreating a drisk managegardens, drmodelling a A clear undbasis for tways of coeffective; tis difficult todifferent cocommonly “understanddamage, bucase studierequiremenlayers withresidential pthe users ranking of aconcept of improved ris The collabsimulating manner:Thone of the depends onresources son the size flooding, vemanagemencase of fluvoversimplifie

8.1.2 The followinstudy (the C

- Dat

the Collaboraefore, face-to

cation and Throughout

Exercise) lacnication betwtion and cool public anddatabase of ement, definrains, etc.), approach.

derstandinghe assessmommunicatiherefore, tho quantify, uomponents, happens) th

d” flood hazausiness disrues. In order ts), we deve additional properties, crunderstood alternatives flood risk (csk quantifica

orative moddifferent

e analysis, afinal outcomn the qualityshould be pu

of the catchery detailed nt measuresvial floodinged models a

“Small”

ng recommeCranbrook ca

ta Related Is- There i

sourcesurban

2ND CRUE F

DIANE-CM

ative Modellio-face sessio

coordinatiothe developm

ck of clarity ween some ordination of for the impthe informat

ning who is ramongst othe

g of flood risment and raing flood ri

heir use in funderstand asuch as hahat participaard maps. Fuption, etc.) to overcome

eloped mapsinformation

ritical infrastrit correctly. the users w

cf. objective ation and com

delling apprflood scenassessment,

mes of the coy of the floout into develohment and th

model are s may even g models there not enoug

” catchm

endations areatchment), w

ssues: s a big needs and from ppluvial flood

FUNDING INITI

ng Exercise ons in which

on betweenment of the pin the role oof them w

f the differenplementationtion and modresponsible fers, could sig

sk is essentanking of thsk were de

uture projecnd commun

azard, vulnerants often mFurthermore,

very detailee these two s in which flo

were adderucture). In t

Furthermorwere asked q

2). More infmmunication”

roach must narios and , discussion ollaborative

od models usoping good qhe type of m

required, abe implemee scale is bgh for suppor

ments

e based on where the focu

d to gather previous inted models an

IATIVE ON FLO

is quite cominstructions a

n the locaproject (and of the differe

was identifiednt authoritiesn of collabordels that arefor the differegnificantly fa

tial in the che alternativeveloped in cts is recomicate. Part orability, expomistake it fo

in order to ed data is re

difficulties (ood depth aned (e.g. infohis way it ware, throughoquestions whformation ab” (DIANE-CM

be supporflood riskand rankingmodelling apsed to simu

quality modemeasures thaas this type nted at the

bigger and trting collabor

the experieus was on ur

and filter raiense rainfall nd for testin

OOD RESILIEN

mplex and noare provided

l and/or reeven during ent authoritied. Addressins could bringrative modele available foent assets (ecilitate the im

ollaborativeves for flood

the DIANEmended: Flo

of its complexosure and cor flood haquantify floo

quired and i(i.e. the comnd extent (i.ormation abas possible tout the Collahich helped bout this canM: I-2).

rted by robuk managemg of alternatipproach and

ulate these als. The degr

at want to beof flooding

individual hothe models rative model

nces and lerban pluvial f

infall data anevents. This

ng the real-

NT COMMUNIT

ot easy to und are necessa

egional autthe executio

es in flood rng this issug enormous ling tools. S

or the area, e.g. maintenmplementatio

e modelling d risk mana

E-CM projecood risk is a xity lies in thconsequencezard and thod risk (e.g.it was not re

mplexity of the. flood hazout locationto convey anaborative Mthem in bettn be found

ust flood mment alterna

ves for floodd the quality alternatives. ee of detail o

e analysed. Ig is localiseousehold levrequire lessling (cf. obje

essons learneflooding in a

nd water levs data is cri-time foreca

TIES

nderstand forary.

thorities shon of the Colrisk managee and improbenefits for

Simple tasksdefining role

nance of roadon of the col

process, asagement. Alct and prov

complex conhe fact that ies. It was fhey find it . in terms ofeadily availahe term andard) were sh

n of commen idea of floododelling Exeter understain the “Guid

odels, whicatives in ad risk managof the resulTherefore, eof the modeln the case od and the

vel. In contras detail. In active 1).

ed from the small catchm

vel data fromitical for caliasting metho

r first time

hould be laborative ment and oving the engaging

s such as es in flood ds, curbs, laborative

s it is the lternative

ved to be ncept that t involves found (as easier to f property ble in the

d the data hown and

ercial and d risk and ercise for

anding the delines for

ch enable a reliable gement is lts greatly effort and l depends of surface flood risk

ast, in the any case,

UK case ment.

m different bration of odologies.

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- Pol

- Sci

2ND

Currentit is not

- Since udata flo

- There imodelsand radexistingrunoff minteractdetailedessentiaaiming

- In orderdensity,of this in

licy maker is- Urban p

policiesto clarifmanage

- Local aresourc

- The urbto encoof floodcommumodellinresidenauthoritareas is

- Local aflood raccepta

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tly, a lot of dagathered in

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ssues: pluvial flood

s related to thfy roles andement of urbauthorities shces) to approban pluvial floourage commding and in pnities to urbng approachts to floodities. Therefos recommendauthorities shisk manage

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ble, but, in geace for efficiegement is a nd local entitprove rainfaln raingaugesuld also be eand radars f models shosystem and

nd informatio, photos tak

mation that isstimates, detes, location s, but it must

en identified ment of this tyo is responssurface floodven more res with urban p

areness of thbers to take hemselves fr

flooding coed in this proso helped inng the imple

to engage tt has prove

asures. aging and/oratchment, whace. Simplifieeous choiceshould be fu

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parks, residees, amongs

corridors acoastal wate

achieved thrlementation nd stakehold

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ties has to bell estimates

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ould be develthe surface

on (in any foken by the ls available shtailed informof critical inft be centralis

as a strategype of floodinsible for moding. sources (mopluvial floodihe general puan active rolrom it. In thiould be furthoject proved n enhancingemented app

the general en to incre

r reducing suhich take intoed models, wes and desigurther analysssets in urbaonmental, socdential gardest others. Und tributarieers, amongsrough a comintegrates th

ders at all lev

ng and fordraulic modeis still requir

OMMUNITIES DIANE-CM

uality is not p

a mechanisme developed in urban arehould be expmproving thereas is crucialoped, which

e. In order toormat) of prelocal residenhould be conation is requ

frastructure, sed and filtere

gic issue; hong are still u

odelling, fore

onetary, humng, which is ublic should le in the mans way, the rher enhanceto enhance

g communicproach and

public in theease transpa

urface flood ro account thwhich only tans.A more in

sed and implan areas in cial and econns, vegetaterban blue a

es, ponds, wst others. Thmbination ofhe different lavels.

ecasting urels) are imprred.

properly contr

m for fast anand made a

eas, as well panded and ee performanal. With rega

h take into aco set up sucevious flood nts, etc.). Cnducted. uired about pamongst othed for its effi

owever, prionclear. It is n

ecasting, war

man and techmainly a locbe enhancenagement ofresilience ofed. The colthe resilienc

cation betwereplicating i

e decisions arency and

risk must be he interactionake the surfantegrated apemented. Thorder to ex

nomic benefed alleys, greassets includwetlands, pre developmef structural and uses, th

rban pluvial roved but ne

81

rolled and

nd reliable automatic.

as runoff enhanced

nce of the ard to the ccount the ch models

events is ampaigns

population her. Some cient use.

orities and necessary rning and

hnological al issue. d in order f this type f the local laborative

ce of local een local t in other

regarding facilitate

based on n between ace model pproach to his should xploit their fits. Green een roofs, de: urban referential ent of the and non-e existing

flooding ed further

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82

- Pra

8.1.3 The followinstudy (the A

- Dat

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actitioner Iss- Practitio

need ofemergemodellincurrently

“Larger

ng recommenAlster catchm

ta Related Is- There i

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bring th

licy maker is- It is imp

public. - Due to

authoritissues)

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large ca- It has t

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2ND CRUE F

DIANE-CM

ble platform and ultimatet possible to.

orative modes of developiefficiently. Fuement measbe given th

ed effect. Tht systems, wndle them.

sues oners shouldf being morncy manageng urban pluy used.

r” catchm

ndations arement), where

ssues: s a need fo

ed as secret stent data anhem together

ssues: portant that a

the relevanties need to. ibility to databurg (or eve

es o be consideatchments. to be considle/effective w

mber of stake

mportant to older groups uantification ants needed

easures.

FUNDING INITI

which centely with localo connect lo

elling approang and imple

urthermore, sures shouldhe possibilithis entails furhile at the sa

d be more are pro-activeement purpouvial flooding

ments

based on ththe focus wa

r access to or sensible dnd already dr with regard

administrativ

nce of spatio be more i

a (rainfall, gan for the gen

ered if a net

ered how wworkshop groeholders in la

think aboutfor a continuwas possib

d to deal with

IATIVE ON FLO

ralises rainfl urban pluviaocal urban

aches shouldementing thein future imd not be anty of combinrther refiningame time kee

aware of thee in consideoses. They s and of the s

he experienceas on urban

data such adata. developed mto the whole

ve responsib

al planning nvolved in f

auges) shouneral public v

twork analys

workshops caoups are limarge catchme

the sustainuous planninble only for ah an imbalan

OOD RESILIEN

fall data andal flood modepluvial flood

d be furtherem in a certaplementationnalysed indivning differen of the flood eping them s

e relevance ring it in the

should be awshortcomings

es and lessofluvial floodin

as for the se

models shoue catchment.

bilities and ta

for flood risflood risk m

ld be guaranvie a public p

sis is approp

an be implemmited/restricteents howeve

nable establg and FRM.a limited nu

nced localisa

NT COMMUNIT

d links it witels is require

d forecast to

r refined in in location can of these avidually; in

nt measuresmodels, as w

simple enoug

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ld be made

asks are mad

sk managemmanagement

nteed for all platform) (wat

priate for this

mented in laed to a certaer is in many

lishment of

mber of metion and illus

TIES

th rainfall foed; this platfoo the centra

such a wayan be done fapproaches contrast, pa

s and analyswell as of thegh so that pa

uvial floodingsed for planneed of appplified model

from the Gerum sized cat

m which are

available in

de transpare

ment spatial (cf. also p

administrativter level etc.

s kind of pro

rge catchmeain amount ocases proba

working gro

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orecasting orm would al warning

y that the faster and flood risk

articipants sing their e decision articipants

g and the nning and propriately s that are

man case tchment.

sometime

n order to

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refore the ternatives

Page 94: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

- Pra

Further res The DIANE A. Resear

applica- Bro

topiorg

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ch and implation throughoaden the scoics and stroanigrams

st the applicansolidated fueate conditioplication and alysis of legaarning about ilience e use and thessibilities anchments ationship beisation of theking with othstomisation oerent continerested) gagement in veloping "natto the existi

ection of thempanies velopment ofl scale impley with other

ement into Clalysis of the ealysis of mutunt carrying ou

D CRUE FUND

urrent swimmants for the

catchments wthe complexe – could cre

sues volvement od (cf. also ponge betweenver possible ten platform fg problems ise public. Of sible authorit

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ementation hout the partiope and cononger involv

ability in diffeull scale procons for monpost project

al framework the long-ter

e effect of a snd restraints

etween flood e deliverableser countries of technical anents and c

test cases intional agendng or new SMe potential p

f "business cmentation EU, USA, o

limate adoptexisting progual compatibut of agreed

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ming pool CME (not m

with various sxity of the Ceate imbalan

of spatial plaolicy maker isn administrato reduce flofor residentss a good opf course theties.

rther researc

activities to cipation cou

ntents of the ement of th

erent environedure and linnitoring andevaluation for possible

rm effects of

simplified CMs of networ

risk awarenes for broaderconditions fo

and socio-ecclimate zone

n the selecteas" in the paMEs for job cpartners amo

cases"

other countriion and mitig

grammes, cabilities, identiprograms

VE ON FLOOD

visualisationmore than 20stakeholdersME much timce in the wh

anning authssues) tion and re

ood managems where the

pportunity to ese statemen

ch needswith

enhance DIntries (DE, Nplatform dev

he stakehold

mental condnk with the ad documenti

introductionthis particul

ME for the purk analysis

ess and actior application or possible im

conomical coes (we alre

ed countriesarticipation cocreation in imong the exis

ies and UN gation prograalls for proposfication of ga

RESILIENT C

n in the gro0 profiles ares who shouldme is needeole worksho

orities in flo

sidents shoment related ey have the

foster commnts must be

regard to th

IANE-CM's dNL and UK) aveloped in Dders for all

itions and soactivities ing perform

of "incentiviar CM proce

ublic (and socio

on capacity/iin other con

mplementatiomponents of

eady have o

ountries mplementatiosting SMEs

agencies’ acammes. sals and devaps and oppo

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oup profile e possible) w have their sd for explanp series with

ood risk ma

uld be suppconflicts/propossibility t

munication bee read and

e following is

deliverables and other EUIANE-CM in groups pres

ocial environ

ance of the

sation" ess with rega

ograms) in

mplementatitinents and con of DIANEf the deliveraone potentia

on of the DIAand creation

ctivities tack

velopment ofortunities

limits thenuwhich is probsay in the CMation and ru

h regard of tim

anagement s

ported wheroblems. o speak outetween admtaken seriou

ssues:

and to broaU countries:

order to inclsented in so

ments

e tools in

ard to aware

particular in

on climate zone

E-CM productables for appal candidate

ANE-CM delivn of the new

kling the stak

f synergy pro

83

umber of lematic in

ME. unning the me

should be

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aden their

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84

RefeBooks Carroll, ArcMason, Ohi Chen S-J, CSpringer. Ferrell, O.CBoston: Ho Freeman, E Friedman, AUniversity P Gläser, JocWiesbaden GTZ (n.s.)partizipative Hwang CL, survey Sprin Jonoski A (by Using Ne Renn, Ortw Edited WorksLamnek, Siepp. 157-193 Ramírez, R(eds.), CultiInternationa Journal ArticDjordjević, Interaction 52(5), 275– Hicks, F.E. Water Reso MaksimovićOverland flo47 (4), 512-

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Chin-Lai H,

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2ND CRUE F

DIANE-CM

es

hholtz, Ann omson/South

P HF (1992

, John; Ferrein Co.

984). Strateg

Miles, Sama

el, Grit (20für Sozialwis

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cock (2005).Sciation, 30(2)

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FUNDING INITI

K. (2006).Bh Western.

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gic managem

ntha (2006).

009) (3.Editissenschaften

cipation – Inpationsprozes

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nated ksimović, Č., Surface Ov

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IATIVE ON FLO

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tiple attribute

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on). Experten.

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s”. In: König,

s and confliion in natura

Ivetić, M. averland flow

HEC-RAS fo

nnet S., Leitng of urban p

OOD RESILIEN

society: ethic

e decision m

ess ethics: et

eholder appro

ers: theory a

eninterviews

zur Akteursorn.

g: methods a

romoting IndE Delft.

ainty in a com

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ict manageml resource m

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cs and stake

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0 Bausteine

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Qualitative Fo

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and Allitt Rof Hydraulic R

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Mark, O., WLimitation o Webler, I.,

learning p

Conference PHenonin, Rand ModelliSimões, N.models for Drainage, P Wang, L., Omodelling. E Wang, L., Sflood forecaHydrology 2 Reports Floodsite http://www.f(Last acces Jonoski, A. flood risk m Jonoski, A. participatory LSBG (20http://lsbg.h(Last acces Van Andel participation Watson, N.(2008). Resand TwiggeSocial Resp

2ND

Weesakul, S.of 1D Modelli

Kastenholz,perspective,

Paper usso, Roqueng: A State-o, Leitão, J. Pflood foreca

Porto Alegre,

Onof, C., MaEuropean Ge

Simões, N., Rasting over u2011, Exeter

(2005).Lafloodsite.net/

ss: 15.08.201

and Evers, anagement s

(2010). Cony flood risk m

009). Hochhamburg.de/css: 15.08.201

S.J and Jon in flood ma

, Walker, G.sponse and er-Ross, C ponses to Flo

D CRUE FUND

., Apirumaneng of Urban

, H., and REnvironmen

eta, Diezma, of-the-Art ReP., Pina, R.,sting: 1D/1D Brazil (acce

aksimović, Čeosciences U

Rico-Ramirezurban areas: r, UK (accept

anguage /html/partner1)

M., (2010),strategies via

ceptual desigmanagement

hwasserschucontentblob/21).

onoski A., (2anagement, D

., Medd, W.,resilience in(eds.). Improoding Scien

DING INITIATIV

ekul, C., BooFlooding. Jo

Renn, O., 19ntal Impact A

Domingo D.eview. Mike b Ochoa, S.,

D, 1D/2D andepted)

Č. (2011) AnUnion Gener

z, M., OchoaRedbridge c

ted)

of Riskr_area/projec

Sociotechna collaborativ

gn of the DIAt. Delft. DIAN

utz für d2181884/dat

2010), DIANDIANE-CM re

, Kashefi, E. post-flood c

roving responce Report (S

VE ON FLOOD

onya-aroonnournal of Hyd

995. Public Assessment R

.S., Thomsenbz DHI confeSá Marque

d hybrid mod

n improved dal Assembly

, S., Leitão, case study. I

k.PROJECT ct_docs/FLO

ical framewove modelling

ANE-CM webNE-CM report

die Hambuta/hochwasse

NE-CM Expeeport

., Tapsell, Scommunities

onse, recoveSC060019) -

RESILIENT C

et, S. and Ddrology, 299(

participation Review. 15 (5

n (2010). “Urerence- Copes, A., Maksidels. 12th In

discrete casc(EGU 2011)

J., MaksimovInternational

DEFINIOODsite_Lan

ork for enabg, DIANE-CM

b-based collat (DIANE-CM

urger Binneerschutz-ham

eriences in t

., Twiggerros: Lessons frery and resi- Work Packa

OMMUNITIES DIANE-CM

Djordjević, S.(3-4), 284-29

in impact a5): 443-464.

rban Flood Renhagen, 6-8mović, Č. (2

nternational C

cade method), Vienna, Au

vić, Č. (2011Symposium

ITIONS. guage_of_R

bling participM report (DIA

aborative plaM: I-4).

engewässer.mburger-binn

the Netherla

oss, C., and rom Carlisle.lience.Improage 2.EA/De

. (2004).Pote99.

assessment:

Real-Time Fo8 September2011) UrbanConference

d for sub-daustria.

1) Radar-basm on Water R

Available Risk_v4_0_P1

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Fernández-B. Fernández-

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under: 1.pdf

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86

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Page 100: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

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Page 102: CRUE Final Report II-1 · CRUE Final Report II-1 Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk [DIANE-CM]

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hana University

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ndreja Jonoski

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oski@unesco-ih

/hikm.ihe.nl/dian/www.leuphana.

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and training oon, coordinatdata measurnd a validated

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mework with iof relevant roups for parizontal and dy areas

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http://hikm.ihe.nevers/forschung

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y means of d platforms rning of local chamtion and trustrement netwd 1D-1D modnt wide modrios platform fontegrated lostakeholdersrticipatory flovertical coo

capacity to cnoski, A., va

ović, C., Oc

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nl/diane_cm/crang-projekte/diane

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visualisationare very he

mpions are et building

work for realdel and AOFel for the A

r two case cal knowledgs in both caood risk manordination of

cope with floan Andel, J-Shoa, S., Sim

ment of Awment of Floo

nbrook/ ; e-cm.html

o enhance r

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worth to do k manageme

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DIANE-CM

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OsmcollaExet Ever„KollHochProc EverAlmoEnharisk r EverEnharedu OchoA., CAndemanstudyBraz SimõMaks1D/1Urba WanmethGene WanMaksareaand Maksand and Everrole PascRoad

FUNDING INIT

mani, S., Maborative moter, UK.

rs, M., Jonaborative hwasserrisikoceedings Acq

rs, M., Jonosoradie, A., ancing stakereduction. Na

rs, M., Jonoancing stakction of urba

oa, S., EversCortés, J., Mel, S.J., Osmagement any. 12th Inter

zil.

ões, N., Lesimović, Č. D, 1D/2D a

an Drainage,

ng, L., Onof, hod for sub-eral Assemb

ng, L., Simsimović, Č. s: RedbridgeHydrology 20

simović, Č., Prediction oRisk Confere

rs, M, Jonosreducing ur

che, E., Eveld Map Towa

TIATIVE ON FLO

akropoulos, odelling. Com

noski, A., Modellieru

omanagemequa alta 2011

ski, A., MaksDinkneh, A

eholder’s roleatural Hazard

oski, A., Makkeholder’s ran flood vulne

s, M., JonosMakropoulos, mani, S. (201d resilience rnational Co

eitão, J. P.,(2011) Urb

and hybrid Porto Alegre

C., Maksimo-daily rainfa

bly (EGU 201

ões, N., R(2011) Radae case study011, Exeter,

Simões, N.of Extreme Uence (IDRC)

ski, A. & Marban flood vpidou, N., Zerds a Flood R

OOD RESILIEN

C. (2011)mputing and

Lange, L., ng in

ent am Beisp1, Hamburg (

simović, Č., A., Simões, e by collabods and Earth

ksimović, C.role througerability. UFR

ki, A., MaksiC., Dinkneh

11). Enhancethrough col

onference on

, Pina, R., ban drainage

models. 12e, Brazil

ović, Č. (201ll modelling1), Vienna, A

Rico-Ramirezar-based pluvy. InternationUK

, Wang, L. Urban PluviaDavos 2010

aksimovic, Culnerability –evenbergen,Resilient Urb

NT COMMUNIT

. Flood risControl for

TeklesadikBeteiligung

piel des Alst(accepted)

Lange, L., ON. E., and

orative modeh System Sci

, Lange, L.,h collaboraRIM proceed

imović, Č., Lh, A., Simõeement of urblaborative m

n Urban Dra

Ochoa, S.e models fo

2th Internatio

1) An improv. European Austria.

z, M., Ochvial flood fornal Symposi

(2010) “Modal Floods”. In0. Davos.

. (2009) “En– the DIANE C., Ashley R

ban Environm

TIES

sk managemthe Water

k, A. (Nov.gsprozessen ter-Einzugsg

Ochoa, S., Cd Wang, L.elling for urbiences. (acce

, Ochoa, S.ative modedings. Graz

Lange, L., Als, N., Wangban pluvial f

modelling: a ainage, Porto

., Sá Marqor flood foreonal Confere

ved discrete Geoscience

oa, S., Lerecasting ovium on Wate

delling, Mannternational

nhancing staE-CM approR. &Garvin Sment. Paris.

ment via Industry,

. 2011): zum

ebietes“.

ortés, J., (2011).

ban flood epted)

, (2011). lling for

moradie, g, L., van flood risk UK case o Alegre,

ues, A., ecasting: ence on

cascade es Union

eitão, J., ver urban er Radar

agement Disaster

akeholder oach”. In: S. (Eds.).