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National Disaster Management Institute
CONTENTS
one Cause of Urban Flood Disaster
two Urban Flood Damage Case
three Disaster Prevention Measures
for Future Urban Flood
four NDMI’s Measures & Strategy
for Urban Flood Mitigation
Cause of Urban Flood Disaster
Torrential rain increases
Caused by climate change
대형 지하공간 개발
Urbanization and
concentration of population
Riversides lowlands
development
Capacity deficit of
disaster prevention
facility
Impervious surface
increases
Capacity deficit of disaster prevention
facility
Construction of a
large underground space
Seoul city Busan city
Hourly rainfall of Seoul and Busan cities
Kind 1990s(average) 2000s(average) Remark
Max. rainfall
intensity 94.6㎜/hr 97.4㎜/hr ↑2.8㎜/hr
Max. daily rainfall 355.8㎜ 415.2㎜ ↑59.4㎜
Typhoon central
pressure 951hPa 944hPa Larger
Rainfall has increased and typhoon has become larger
(Torrential rain increases)
Development of riversides lowlands
Ground level lower than river plan flood elevation
Urbanization and concentration of population
Increase in casualties and property damage
Land use change
Impervious surface increases due to various urban development
Capacity deficit of disaster prevention facility
Urban drainage facility design criterion : Trunk ; 10years, Branch ; 5 years
Urban river design criterion : small and medium streams ; 50 or 100 years
Construction of a large underground space
Construction of large underground space such as shopping mall and subway
Urban flood damage case
July 2001 , Seoul
Casualties Death 35, Injury 104
Flooded Buildings 94,375
Major causes
•Sewer capacity deficit •Insufficient capacity of internal drainage •Lowland flooding •Insufficient capacity of pumping station and detention pond • Poorly drainage due to sediment spill
Damage history
July 2009, Busan
Casualties Death 2, Injury 3
Flooded Buildings 1,428
Major causes
•Sewer capacity deficit •Insufficient capacity of internal drainage •Lowland flooding •Insufficient capacity of pumping station and detention pond •Poorly drainage due to sediment spill •River flooding
Damage history
(Incheon city in 2010)
Flooded damage
굴포천 배수
14:00~18:00 장제로구간 통제
Damage causes
-Sewer capacity deficit,
-Insufficient capacity of internal drainage
-Drainage capacity decrease due to water level
increase out of levee
- Lowlands flooded
(at large underground space)
Sadang station Underground shopping mall
Yongsan subway station Building basement
Disaster Prevention Measures for
Future Urban Flood
(National countermeasures)
Strengthen the
participation of
local residents
Roles assignment of
central and local
governments
Strengthen the
practical and
scientific research
capabilities
•Flood prediction and alert in
small river
•Rational criteria for flood prevention
•Development of high
technology for disaster prevention
based on IT , GIS
•Development of eco-friendly
flood prevention technology
• Institutionalization of citizen
participation for flood defense alternative
decision
• Release of the flood hazards maps and
flood situation
• Strengthening of the institutions
and budget of central government
•Strengthening of the connection
for flood countermeasures between
each governmental departments
•Strengthening of field control
ability in local government
•Institutionalization of precaution in
local government
Urban Flood
Prevention
River Flood
Prevention Non-structural
Prevention
Development of integrated
prediction-alert system for river
and urban area
• Development of flood map and
inundation map
• Strengthening of law, system,
guideline, criteria
• Development of manual for private
properties inundation
• Strengthening of education and
training program
Strengthening of criteria for disaster
prevention facilities
• Legislation of inundation prevention
facilities for basement houses
• Establishment of disaster prevention
strategies for large-size basement
• Expansion of rainfall detention and
basement detention facilities
Review of design criteria by
water control safety
• Development of river design criteria
considering on urban inundation
• Restoration of natural river (flood plain, flood field)
Integrated Disaster Prevention System
- River and Urban Area
- Structural, Non-structural
NDMI’s Measures & Strategy for
Urban Flood Mitigation
Experimental facility for infiltration gutter Development of recycled porous
infiltration gutter
2011 Gangnam Inundation 2011 Gangnam Landslide
CCTV Information Population,
Building information
Public Info
Monitoring of Inundation
Occurrence Areal Information
Internet
Dissemination Dissemination of forecasted results of
Inundation
Analysis of risk area and
past inundation events
Inundation Forecasting
and Risk analysis
Detailed Information
Dissemination
Expected Inundation Area Past Inundation Event
CCTV Population Buildings
NEMA
Local Province
Traffic
Non-
Structural
Analysis
Structural
Analysis
Link-
Analysis
Detailed
Information
Non-Structural Data
Structural Data
Twitter News Media
Blog Internet Wall Board
Real-time precipitation, hazard map,
Soil characteristics, River Basin etc.
Non-Structural Data
Structural Data +
Governmental Info
Combination with Radar-based rainfall forecasting system
<Urban Flood alert system based on radar measurements>
Rainfall-runoff simulation
Flood-expected area Inundation depth
Radar rainfall
SWMM is a distributed, dynamic rainfall-runoff simulation
model used for single event or long-term (continuous)
simulation of runoff quantity and quality from primarily
urban areas.
• Design and sizing of drainage system components
including detention facilities
• Flood plain mapping of natural channel systems
• Control of combined and sanitary sewer overflows
• Generating non-point source pollutant loadings for
wasteload allocation studies
• Evaluating BMPs and LIDs for sustainability goals
• Not applicable to large-scale, non-urban
watersheds
• Cannot be used with highly aggregated (e.g., daily)
rainfall data
• Its an analysis tool, not an automated design tool
• Unable to analyze the integration of ground and
underground space
• It’s not free, so, we have to pay huge costs when
we buy and update the program(about US $ 25,000)
1.Development of ground inundation
analysis model
2.Development of underground inundation
analysis model
3.Development of integrated inundation
analysis model
Concept of Integrated inundation analysis model
4.Development of integrated inundation
analysis system(based on GIS)
Sewer
Channel
Pumping station
Underground
space
Embankment road
Building
Surface flow
River Road
Underground entrance
Car entrance
Stairs
Connecting passage
Analysis model for
rainfall runoff in storm sewage
• Module for analyzing rainfall
collecting facilities (i.e. drip
box)
• Module for designing Safety
space for detention basin
and drainage pumping plant
Analysis model for
surface water movement
• 1-dimensional real time
model
• Analysis considering on
building, road, rail road,
underpass
Overflow
Inflow of
flooding
Prediction of flooding by the hour Prediction of inundation area
and height by the hour
Calculation of rainfall
• Extreme rainfall
• Design rainfall
• Short-term predicted rainfall Road
Embankment road
Channel
Building
Esta
blis
hm
ent o
f DB
for s
imula
tion
Simulation conditions
30-year frequency rainfall, Cell size :30m, computation time step:10sec , Total computation
time:80sec
As a result, simulation result is good agreement with observed inundation area
Case 1
Construction of various flooding scenarios
Case 1 : Normal condition(All prevention facilities work properly)
Case 2 : Dysfunction of sewer network(Other prevention facilities work properly)
Case 3 : Dysfunction of pumping station(Other prevention facilities work properly)
Simulations were performed for each scenario
Case 2 Case 3
As a result, inundation depth of case 3 is the biggest
[Application]
- Real-time alert system for antecedent precipitation in large-size urban area
- Real-time inundation alert system in central and local government
- Disaster disaster risk reduction for the public Strengthening of National Disaster Prevention Ability
[Expected effects]
- Integrated system for large-size urban area inundation
- Reduction of computation time by using 1-dimensional model
Able to real-time prediction-alert system