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ScorePP Workshop 2-3 February 2010, Denmark. A Decision Support System for management of priority substances in river basin management plans. Willy van Tongeren, Ruud Baartmans ScorePP International Workshop 2-3 February 2010, Lyngby, Denmark. - PowerPoint PPT Presentation
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A Decision Support System for management of priority substances in river basin management plans
Willy van Tongeren, Ruud Baartmans
ScorePP International Workshop 2-3 February 2010, Lyngby, Denmark
ScorePP Workshop 2-3 February 2010, Denmark
A Decision Support System for management of priority substances
in river basin management plans
Willy van Tongeren, Ruud Baartmans, Jaap van der Vlies, Anna Jöborn, Anna Palm-Cousins, Mohammed
Belhaj, John Munthe, Tuomas Mattila, Susanne Ullrich, Jozef Pacyna, Kyrre Sundseth, Geraldine Ducos
Outline
• Introduction: – Aim/background– Water Framework Directive/ RBMP’s
• Decision Support System– Step by step plan– Tools– Web based application
• Conclusions
WFD planning cycle
Now, we are already here…
Characterisation
Plan of Action
Monitoring Programme
Significant Water Issues
Environmental Objectives
Programme of Measures
Draft RBMP
Final RBMP
ImplementProgramme of
Measures
Achieve ObjectivesUpdate RBMP
2009
2008
2006
2004
20152012
PublicParticipation
Characterisation
Plan of Action
Monitoring Programme
Significant Water Issues
Environmental Objectives
Programme of Measures
Draft RBMP
Final RBMP
ImplementProgramme of
Measures
Achieve ObjectivesUpdate RBMP
2009
2008
2006
2004
20152012
PublicParticipation
RBMP’s: Some key questions (for PS’s)
• Actual and future status of waters?• Possible sources?• Possible measures?• Effects of measures:
… concentration reduction?… costs? … other effects?
• Who to consult, who to decide with?• Etc.
At some time, not far from now…
Mr. Jones, Some-Where Water• Working at Some-Where Water• Is responsible for drafting a
chapter on priority substances in the RBMP
• Is neither a scientist nor an economist
Fortunately, he has the SOCOPSEDSS Handbook which provides him guidance and an approach…
Aim• Support water authorities and other stakeholders to
make plans and take decisions for the control of PSs– Identify current and future environmental problems– Asses effectiveness and impacts of various measures– Help to select the measures
• At local, national and European level, and/or at river basin level (RBMP’s)
• Transparent decision making• Make optimal use of local knowledge, experiences, etc.
Decision Support System
Step by Step Plan Supporting Tools / Data bases, etc.
Place in the projectW
P 1
Coo
rdin
atio
n
WP 2
Material Flow
Analyses
WP 3
Management, Technologies
WP 4
Decision Support System
WP 5
Case Studies
Final evaluation and report
WP
6
Dissem
ination an
d stakehold
er interactio
ns
WP
1
Coo
rdin
atio
n
WP 2
Material Flow
Analyses
WP 3
Management, Technologies
WP 4
Decision Support System
WP 5
Case Studies
Final evaluation and report
WP
6
Dissem
ination an
d stakehold
er interactio
ns
Approach
• Based on socio economic evaluation methods • Structured, Step by step• Additional methods and tools• Strong Stakeholder involvement • Gives support, does not make decisions
The steps
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Update plans(2015)
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 0: System definition=(WFD requirement)
• Define physical boundaries• Characterize geographical, physical, chemical,
biological and societal conditions• Identify key stakeholders *tool
in decision-making process
Step 1: Problem definition
• To indicate:– Areas of EQS exceedance– Areas where PS concentrations increase in time
• Result: table/map of indicating the areas where EQS’s are exceeded and/or where concentrations increase in time
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
table/map of actual areas of exceedance
concentrations exceeding EQS or
increasing?
no
yes
continue monitoring
according to WFD
set upmonitoring plan
noyes
"sufficientdata?”
yes
measure actualconcentrations
no
harmonized protocols available?
yes / not relevant
no
harmonize protocols RB wide
Input for Step 2
Input from Step 0
no
yes
guidelinesfor
monitoringand
analysis
EQS or other target values
define data needed
monitoringdata
available?
report lack of data to
national level
data quality OK?
yes
look at EAQC-WISE outcome
other informationavailable?
get advise from EU CMA (*
*EU Chemical Monitoring Activity Group (or future bodies) on how to handle data quality
no
look at EAQC-WISEoutcome
guidelines for data
quality (input EAQC-WISE)
#1
#2
#3
#4
#10
#5
#6
#12
#14
#8
#9
#7
#11
#13
#15table/map of actual areas of exceedance
concentrations exceeding EQS or
increasing?
no
yes
continue monitoring
according to WFD
set upmonitoring plan
noyes
"sufficientdata?”
yes
measure actualconcentrations
no
harmonized protocols available?
yes / not relevant
no
harmonize protocols RB wide
Input for Step 2
Input from Step 0
no
yes
guidelinesfor
monitoringand
analysis
EQS or other target values
define data needed
monitoringdata
available?
report lack of data to
national level
data quality OK?
yes
look at EAQC-WISE outcome
other informationavailable?
get advise from EU CMA (*
*EU Chemical Monitoring Activity Group (or future bodies) on how to handle data quality
no
look at EAQC-WISEoutcome
guidelines for data
quality (input EAQC-WISE)
#1
#2
#3
#4
#10
#5
#6
#12
#14
#8
#9
#7
#11
#13
#15
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Overview result problem definitionLocations
1 2 3 …
Substances 1 No problem
2 Increasing concentrations
?
3 Decreasing concentrations
… X% higher than EQS ?
Step 2: Inventory of sources
Where is the pollution coming from and what is the level ?
• EU wide inventory of major sources of emissions to air, water and soil which affect PS in various aquatic ecosystems (SFA, WP 2)
• Which sources are relevant for areas of exceedance?• Calculate emissions from emission factors• Use of models
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 3: Definition of baseline scenario(=Fine tuning the problem definition)
• To what extend additional measures are necessary to improve water quality taking into account the measures already taken?
• Is there a reason to assume that the present situation of water quality will change or will be different in future?– If so: why?– Will problem change?
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 4: Inventory of possible measures
Envisage relevant and possible management options for actual and future areas of exceeding (WP 4)
• Measures for polluters– Process-oriented options – End-of-pipe techniques
• Policy instruments– Substitution of product/substance– Community level options
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
measures database
table of possible measures per substance-source combination
Input for Step 5
future areas of exceedance and possible sources
Input from Step 3
table of possible (single) measures per source-substance combination
does measureapply to more than 1 source
or substance?
no
yes
consider to apply measure for more than 1 source or substance
measure relevant for
source?
no
yes
skip measure
measures database
table of possible measures per substance-source combination
Input for Step 5
future areas of exceedance and possible sources
Input from Step 3
table of possible (single) measures per source-substance combination
does measureapply to more than 1 source
or substance?
no
yes
consider to apply measure for more than 1 source or substance
measure relevant for
source?
no
yes
skip measure
Data base of abatement measures
• Census of all possible abatement and substitution measures by substance;
• It was constituted on the basis of:– A bibliographic review : about 450 references ; – A survey questionnaire : about 200 contacts ; – Exchanges with stakeholders during 3 workshops:
(Paris, Katowice, Nieuwegein.)
Database of “triplets”: measure-substance-emission source
Source categories Emission sources Measures Substances Triplet_nrIndustry and craft industry Large Combustion Plant Optimization WWTP Mercury 59Industry and craft industry Large Combustion Plant Ion exchange Mercury 60Industry and craft industry Large Combustion Plant Membrane filtration Mercury 61Industry and craft industry Large Combustion Plant Run-off management Mercury 65Industry and craft industry Iron & Steel Production Recycling and reuse Mercury 67
Industry and craft industry Iron & Steel ProductionPre-treatment of waste water from technological process
Mercury 69
Industry and craft industry Iron & Steel Production Run-off management Mercury 71
Industry and craft industry Iron & Steel Production Optimization WWTP Mercury 73Industry and craft industry Iron & Steel Production Ion exchange Mercury 75Industry and craft industry Iron & Steel Production Membrane filtration Mercury 76Industry and craft industry Iron & Steel Production Activated carbon adsorption Mercury 77Community WT Waste water treatment plants Electrochemical oxidation NPE 182Community WT Waste water treatment plants Biological drying of sludge NPE 190Community WT Waste water treatment plants Incineration of sludge NPE 192
Community WT Waste water treatment plantsAlternative uses of sludge than agriculture: secondary fuel
NPE 193
Hydromorphology Pesticides applications Grass strips, hedges NPE 225Hydromorphology Pesticides applications Riparian zones NPE 232Hydromorphology Pesticides applications Constructed wetlands NPE 235Hydromorphology Pesticides applications Run-off storage facilities NPE 236
Excerpt from the database
Technical Feasibility Total score:Type of pollution point sourceMatrix waste water from dental facilitiesApplication rangeLimits and restrictionsComplexity of implementation simpleImpact on the process / factory
Performance / Env. impact Total score:Concentration reduction >99% Calculated removal efficiencies for
chairside filtration systems ranged from 93 to >99%. Currently marketed commercial amalgam separation units can remove >99% of particulate Hg.
Removal of other substances NoCross-media effects NoEnergy consumption lowProduction of waste low
Costs Total score:Investment costs low?Operational costs low requires minimal maintenance
State of the art Total score:BATExisting technology Yes amalgam separatorsEmerging technology YesApplications YesReferences Substance Report (revision no. 2, 1 February 2008)Table last updated on 11-feb-08
Fact Sheet for Mercury (Hg)Measure/source combination EoP-8
Dental wastewater treatmentTotal score
Remarks
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
Step 5: Assessment of the effects of the measures
• What are the effects of measures?– Depict reduction of concentration– Costs of concentration reduction– Other relevant effects? Which?
• For each substance, we gathered and synthesized information
Qualitative assessment:
Triplet_nb Measure Technical feasibility
Env. Performances
Costs State of the art
154Oxidative technique: ozone
Pol: Point source Cmp: AverageImp: NoLim: High (depends on water quality)
SCORE = 0
Eff: AverageOth: YesEn: ?CE: ?W: Yes
SCORE = -
IC: AverageOC: Average (depends on water organic load)
SCORE = 0
St: Emergent App: Some
SCORE = +
145Activated carbon adsorption
Pol: Point sourceCmp: LowImp: NoLim: Low
SCORE = ++
Eff: Average Oth: YesEn: ?CE: NoW: Yes
SCORE = +
IC: Average (depends on the existing treatment system)OC: Average
SCORE = +
St: BATApp: Several
SCORE = ++
Type of pollution (Pol)Complexity of implementation (Cmp)Impact on the process of the factory (Imp)Limits and restrictions (Lim)
Efficiency of emission reduction (Eff)Removal of other pollutants than SOCOPSE ones (Oth)Consumption of energy (En)Cross-effects (CE),Production of waste (W)
Investment costs (IC)Operational costs (OC)
Status of the technique (St)Number of applications (App)
(Substance = DEHP)
Excerpt from Substance Report on DEHP
Step 6: Selection of the best options
• In dialogue with main stakeholder groups• Method:
… Costs and concentration reduction: CEA… If also ‘other effects’: (quick scan) SCBA or MCA
• No force to require means, only targets (EQSs):selection is advice to apply by the polluters
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definition
The MultiCriteria Analysis (ELECTRE Model INERIS):• Ranking of triplets according to criteria and weights:
– Efficiency = 1/3 – Share = 1/6
– Costs = 1/6– Availability = 1/6 – Co-benefits = 1/12– Scale = 1/12
• Weights are allocated in order to get the same weighting between total costs and total benefits
Total environmental benefits = 1/2
Total costs = 1/2
Quantitative assessment:• For each substance, we asked experts to fill-in a data table:
Triplet_nb Sources Measures Subst Share(%)
Eff(0-10)
Costs(0-10)
Avail(0-10)
Co-ben(0-10)
Scale(0-10)
29Production of polymers/plastics
Substitution of PVCDEHP 4 7 5 6 10 1
98 Production of DEHP Substitution of DEHP DEHP 1 6 4 8 10 1
140Waste water treatment plants
Optimization WWTPDEHP 3 6 10 7 4 1
145Waste water treatment plants
Activated carbon adsorption DEHP 3 8 8 9 8 1
154Waste water treatment plants
Oxidative techniques : ozone DEHP 3 5 6 7 6 1
158Waste water treatment plants
Oxidative techniques: UV DEHP 3 7 7 9 5 1
163Waste water treatment plants
Membrane filtration: Ultra filtration DEHP 3 8 6 9 4 1
(Substance = DEHP)
Excerpt from the datatable
Rank Triplet_nb Source Measures Subs Share Eff Costs Avail Co-ben Scale
11 245 Surface water treatment
Activated carbon adsorption Atrazine 50 8 8 9 1 4
1 78 Non-ferrous metals industry
Recycling and reuse Cd 26.5 10 7 10 4 8
34 213 Uses of (non) polymers Legislation on disposals DEHP 90 5 10 6 1 136 223 Rural run-off Grass strips, hedges HCB 32 7 6 10 4 1
8 229 Farm point-source Sharing equipment or spraying by contractors Isoprot 35 9 8 9 1 1
5 120 Battery and cell production
Mercury substitution Hg 16 10 8 8 10 1
21 160 Waste water treatment plants
Oxidative techniques: chemical NPE 80 9 3 8 1 1
3 206 Domestic coal combustion
Combustion control and optimization PAH 25 9 9 10 1 1
29 30 Production of polymers/plastics
Improving raw material handling PBDE 18 7 9 9 1 1
4 102 Chemical industry Substitution of TBT in fungicides TBT 25 9 9 9 10 1
(Best measure by substance)
Application at the European level for all substances:
Tools
• Models• Substance Flow Analyses• Substance reports
• Fact Sheets• Additional tools
• MCA,• SCBA, • Stakeholder analyses • ….
Conclusions• DSS can help different stakeholders with plan updates
– Current RBMP– Future RBMP
• Handbook and web based DSS user friendly: … Step by step plan… Measures for source-substance combinations… Environmental fate modelling… Economic evaluation methods
• DSS developed & successfully tested in cases– Large differences in management structure– Large differences in data availability– Large difference in Data quality
Possible improvements / recommendations
How to deal with uncertainties Data on sources Effect of Measures: Costs !!
Matrix effects measures Disturbance Co-benefits
Other substances Non-Technological measures Links with other directives (REACH, ….) Cooperation between countries (Emission Registration) Update and maintenance !!??
www.socopse.eu
Also this story has a happy end,
So Mr Jones Changes to …
A Happy Water Prince ?
Water Framework Directive• A legal framework for achieving good ecological
and chemical status in waters across Europe• Management by river basin• Limits in concentration of 33 priority substances
(PSs) • Result obligation in 2015 (2027 ultimately)
River basin management plans:First plan: 2009, updated plan: 2015
Decision Schemes
table/map of actual areas of exceedance
concentrations exceeding EQS or
increasing?
no
yes
continue monitoring
according to WFD
set upmonitoring plan
noyes
"sufficientdata?”
yes
measure actualconcentrations
no
harmonized protocols available?
yes / not relevant
no
harmonize protocols RB wide
Input for Step 2
Input from Step 0
no
yes
guidelinesfor
monitoringand
analysis
EQS or other target values
define data needed
monitoringdata
available?
report lack of data to
national level
data quality OK?
yes
look at EAQC-WISE outcome
other informationavailable?
get advise from EU CMA (*
*EU Chemical Monitoring Activity Group (or future bodies) on how to handle data quality
no
look at EAQC-WISEoutcome
guidelines for data
quality (input EAQC-WISE)
#1
#2
#3
#4
#10
#5
#6
#12
#14
#8
#9
#7
#11
#13
#15table/map of actual areas of exceedance
concentrations exceeding EQS or
increasing?
no
yes
continue monitoring
according to WFD
set upmonitoring plan
noyes
"sufficientdata?”
yes
measure actualconcentrations
no
harmonized protocols available?
yes / not relevant
no
harmonize protocols RB wide
Input for Step 2
Input from Step 0
no
yes
guidelinesfor
monitoringand
analysis
EQS or other target values
define data needed
monitoringdata
available?
report lack of data to
national level
data quality OK?
yes
look at EAQC-WISE outcome
other informationavailable?
get advise from EU CMA (*
*EU Chemical Monitoring Activity Group (or future bodies) on how to handle data quality
no
look at EAQC-WISEoutcome
guidelines for data
quality (input EAQC-WISE)
#1
#2
#3
#4
#10
#5
#6
#12
#14
#8
#9
#7
#11
#13
#15
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definitionStep 1: Problem definition
table/map of actual problem areas emissiondatabasewith EU
inventories
Input from Step 1
table with sector/source specific emissions
Input for Step 3
what are the possible sources?
which are relevant in the area of interest?
compile emission factors and site-specific activities
calculate emissions
MFA
generalguidelines
to MFA
locationspecific
information
table/map of actual problem areas emissiondatabasewith EU
inventories
emissiondatabasewith EU
inventories
Input from Step 1
table with sector/source specific emissions
Input for Step 3
what are the possible sources?
which are relevant in the area of interest?
compile emission factors and site-specific activities
calculate emissions
MFA
generalguidelines
to MFA
generalguidelines
to MFA
locationspecific
information
locationspecific
information
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definitionStep 2: Inventory of sources
Decide upon the time frame: WHEN is the change happening?
What key-drivers are affecting water quality?
CALCULATE concentration trends
table/map of future areas of exceedance and possible sources
Input for Step 4
Checklist of possible drivers
of change
Is there reason to assume that the future water
quality will be different from the current status?
Local data: emission
factors
EnvironmentalFate Models
Input from Step 2
no
yes
Concentrationsexceeding EQS or increasing ?
no
Make emission trends
Make environmental trends
yes
no problem
Decide upon the time frame: WHEN is the change happening?
What key-drivers are affecting water quality?
CALCULATE concentration trends
table/map of future areas of exceedance and possible sources
Input for Step 4
Checklist of possible drivers
of change
Is there reason to assume that the future water
quality will be different from the current status?
Local data: emission
factors
EnvironmentalFate Models
Input from Step 2
no
yes
Concentrationsexceeding EQS or increasing ?
no
Make emission trends
Make environmental trends
yes
no problem
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definitionStep 3: Definition of baseline scenario
measures database
table of possible measures per substance-source combination
Input for Step 5
future areas of exceedance and possible sources
Input from Step 3
table of possible (single) measures per source-substance combination
does measureapply to more than 1 source
or substance?
no
yes
consider to apply measure for more than 1 source or substance
measure relevant for
source?
no
yes
skip measure
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definitionStep 4: Inventory
of possible measures
table of possible measures per source-substance combination
Input from Step 4
calculate/estimate concentration reduction
Are there other effects besides Cost of Reduction
and concentration reduction to be considered?
yes
depict these other effects
no
table of effects of measures, costs, reduction, other effects
Input for Step 6
informationon use of fate models
calculate/estimate Cost of Reduction
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definitionStep 5: Assessment of the
effects of the measures
table of effects of measures
Input from Step 5
Select the criteria to evaluate the measures, either:
Selection/ranking of best options
Perform quick scan SCBA or MCA
Perform CEA
In case of:Cost of Reduction
AND Concentration Reduction
In case of:Cost of Reduction
AND Concentration Reduction
ANDother criteria/effects
Stakeholder involvement
table of effects of measures
Input from Step 5
Select the criteria to evaluate the measures, either:
Selection/ranking of best options
Perform quick scan SCBA or MCA
Perform CEA
In case of:Cost of Reduction
AND Concentration Reduction
In case of:Cost of Reduction
AND Concentration Reduction
ANDother criteria/effects
Stakeholder involvement
Step 1:Problem definition
Step 2:Inventory of sources
Step 3:Definition of a baseline scenario
Step 5:Assessment of the effects of the measures
Step 4:Inventory of possible measures
Step 6:Selection of the best solutions
Step 0:System definitionStep 6: Selection of the best options
Emission reduction strategy of priority and emerging chemicals in European waters
G.DUCOS, JM. BRIGNON, F. OESTERHOLT, S.M. ULLRICH, J. KRUPANEK, W. Van TONGEREN, J. MUNTHE
General aim:Support the implementation of the WFD with regards to Priority Substances
Background:• SOCOPSE: focus on the development of tools to support the WFD implementation• 11 PSs: Hg, Cd, PBDE, TBT, Atrazine, Isoproturon, PAH, Anthracene, DEHP, HCB, NP
In this presentation:Tools = 1) Inventory of abatement measures
2) Assessment of abatement measures 3) Emission Reduction Strategy with MCA
3) Emission Reduction Strategy
• The ERS regarding all SOCOPSE substances is built from the best measures by substance;
• The ranking of measures is processed with an outranking MultiCriteria Analysis model (ELECTRE);
• Database = Quantitative assessment table
Application at the European level for all substances:
Rank Triplet_nb Source Measures Subs Share Eff Costs Avail Co-ben Scale
1 78 Non-ferrous metals industry
Recycling and reuse Cd 26.5 10 7 10 4 8
2 111 Electroplating industry Recycling and reuse Cd 7.9 10 8 10 1 8
3 206 Domestic coal combustion
Combustion control and optimization PAH 25 9 9 10 1 1
4 102 Chemical industry Substitution of TBT in fungicides TBT 25 9 9 9 10 1
5 120 Battery and cell production
Mercury substitution Hg 16 10 8 8 10 1
6 46 Chemical Industry Recycling and reuse Cd 5.3 10 8 10 1 8
6 119 Battery and cell production
Recycling and reuse Cd 5.3 10 8 10 1 8
7 55 Large Combustion Plant Recycling and reuse Hg 24 10 7 10 1 5
8 229 Farm point-source Sharing equipment or spraying by contractors Isoprot 35 9 8 9 1 1
9 86 Non-ferrous metals industry
Ion exchange Cd 26.5 10 6 10 4 7
10 224 Rural run-off Grass strips and hedges Isoprot 40 7 6 10 4 1
(Results by order of ranking)
Conclusion2 products available for the DSS:
– Substance Reports , where you will find:
-inventory of measures by substance
-qualitative assessment of abatement measures ON LINE
– ERSR , where you will find:
-quantitative assessment of abatement measures
-ERS methodology and applications
ON LINE (soon, the ERS ranking calculation program too)