Source control of priority substances in Europe EU-project within the sixth framework program John...
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Source control of priority substances in Europe
EU-project within the sixth framework program
John MuntheIVL Swedish Environmental Research Institute
www.socopse.eu
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Project objective
To provide guidelines and decision support system tools for the implementation of the
WFD with regard to selected priority substances
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
11 Priority Substances
Mercury
Cadmium
Hexachlorobenzene
Tributyltin
DEHP (Bis(2-ethylhexyl) phthalate)
Atrazine
Isoproturon
Nonylphenol
Polycyclic aromatic hydrocarbons
Anthracene
Polybrominated diphenyl ethers
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
SOCOPSE perspectives
Water district management – preparation of RBMPs
European Scale, European Policy development
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Material flow analysisEuropean scale
Substance reportsControl technologies
Draft DecisionSupport System
Case studiesFive areas of Europe
Final Decision Support System Final Reports and Synthesis
Web site DSS, synthesis
Sources Emission control
Guidebook + tools
WFD
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Material flow analysis (MFA) for selected priority substances
Describe the main flow paths of selected PSs on a European scale
Identify main source categories for European waters - for use in case studies
Necessary information to assess effectiveness and impacts of various measures
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
MFA diagram for HCB in Europe in 2000
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Experiences - emissions
MFA useful for providing overview of use, emissions and source categories – guidance to source control
Lack of information on emissions - and production, import, export, use, fate of PS in industrial waste, household products and municipal waste water
Diffuse sources important in many locations- Atmospheric deposition- Contaminated sites- Agriculture- Households and small industries: waste water (more or less treatment)
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Inventory and assessment of mitigation options
• Information from MFA on sources, source categories
• Compile information on possible measures by substance
• Based on:
•A bibliographic review : about 450 references ;
•A survey questionnaire : about 200 contacts ;
•Exchanges with stakeholders during 3 workshops: Paris, Katowice, Nieuwegein.
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Summary of results
2 products from WP3 (and available for the DSS):
– Substance Reports (inventory + qualitative assessment)– Non homogeneous data on substance flux and measure costs– Most data are old data (2000)– Weak industry involvement in questionnaire and workshop
– ERSR (quantitative assessment + ERS - Multicriteria Analysis )
– Dependent on Substance Report information quality and expert judgements
Limitations
Limitations
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Control options
Technical information on end of pipe control technologies and substitution partly available but information on cost of emission control options are scarce and unreliable
Control options and strategies for diffuse pollution (contaminated sites) difficult to define and evaluate
Control options for atmospheric deposition outside responsibility of Water District
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
A decision support systemfor management of priority substances in river basin management plans
Step by step guidance to support the development ofRBMP for PS
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
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Case studies
Test and evaluate the decision support system by applying it to 5 case studies in different geographical regions and to integrate results and experiences to European scale
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Case study areasThe five case studies which represent different geographical regions of Europe as well as different scales
The five cases have different characteristics in terms of pollution sources and degree of contamination of priority substances.
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Case study: Kłodnica
Catchment area 1125,8 km², flow rate 20 m3/s, 1 mln. inhabitants
Agriculture 50 %, Urban and Industrial 30%, forest 20%. Industry (coal mining, energy sector, metallurgy, metal production, mechanical sector, chemical industry)
Impact: WWTP, industry, contaminated land, wastes, air deposition
PAH, Hg, Cd as relevant contaminants (representative of coal and heavy industries)
Highly Modified Water Body Monitoring system under national revision
– to be improved Priorities for water management defined
(priority pollutants not explicitly indicated)
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
River Vantaa
Catchment area 1 686 km2, 1 milj. inhabitants, Agriculture (24 % cultivated)
Industry (dairy, food, metal, paint, detergent, plastics)
Drinking water source (secondary) to Helsinki, Irrigation, recreation object, cultural scenery and objects
PAH, PBDE, Nonylphenol, DEHP, TBT (TPhT)
250 potential plants/sources - Connected to MWT plants
Atmospheric sources (PAH), Harbor activity(TBT), diffuse sources (DEHP, PAH, PBDE)/urban run off
Occasional exceedances of EQS: PAH, DEHP, TBT
TBT concentrations high in sediments
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Ter River
Llobregat River
Ter River
Llobregat River
Introduction
TER
Length: 208 Km
Basin Area: 2955 Km2
Source Altitude: 2480 m
Rainfall: 879 mm/year
Mean Flow: 26.8 m3/year
LLOBREGAT
Length: 156 Km
Basin Area: 4957 Km2
Source Altitude: 1259 m
Rainfall: 672 mm/year
Mean Flow: 22.2 m3/s
Substances: atrazine, isoproturon, polybrominated biphenyl ethers (PBDEs), nonylphenol and di(2-ethylhexyl)-phthalate
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Meuse River Basin
Length: 905 km; Catchment area: 35,000 km2, 8.8 million
International river basin: five countries/six regions(FR, LU, WL, FL, GE, NL)
Rain river; large differences between summer and winter discharge (< 10 – 3,000 m3/s)
Source of water for drinking water production, agriculture, industry
Important for navigation Focus on diffuse emissions
reduction, cadmium, PAH, pesticides, fertilizers, pharmaceuticals
Focus on emerging substances
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Danube river
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
The Danube
The second longest riverin Europe, the most international river in the world, shared by 19 countries.
Danube is a resource to 81 million people.
Chemical, food and pulp and paper industries, municipal waste water main polluters
IT
CH
PL
MK
AL
ICPDR
DE
AT
CZ
UA
MD
HU
SICS
BG
ROSK
HRBA
- coordination- information exchange- develop strategy for RBM Plan - develop DRB roof report for EC- harmonisation of methods and
mechanisms
Bilateral agreements (examples)
RBM EG
Bilateral agreements (examples)
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Danube risk classification by risk categories
organic p.
nutrient p.
haz.subst.p.
hydromorph.
rkm 2780 2600 2400 2200 2000 1800 1600 1400 1200 1000 800 600 400 200 0
at risk possibly at risk not at risk
pressures / impacts from DE AT
SK/ HU HR - CS BG/ROHU ROCS/RO*
Danube risk classification by risk categories
organic p.
nutrient p.
haz.subst.p.
hydromorph.
rkm 2780 2600 2400 2200 2000 1800 1600 1400 1200 1000 800 600 400 200 0
at risk possibly at risk not at risk
pressures / impacts from DE AT
SK/ HU HR - CS BG/ROHU ROCS/RO*
rkm 2780 2600 2400 2200 2000 1800 1600 1400 1200 1000 800 600 400 200 0
at risk possibly at risk not at risk
pressures / impacts from DE AT
SK/ HU HR - CS BG/ROHU ROCS/RO
2780 2600 2400 2200 2000 1800 1600 1400 1200 1000 800 600 400 200 0
at risk possibly at risk not at riskat risk possibly at risk not at risk
pressures / impacts from DE AT
SK/ HU HR - CS BG/ROHU ROCS/RO*
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
2 % of the DRB
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Catchment: 18 769 km2, 2.5 million inhabitants
Diversified landscape (mountains, lowlands):– 52.2 % agricultural land– 40.7 % forests– 6.6 % artificial area– 0.5 % inland waters
main use - hydropower production
highest input of pollution load (nutrients, hazardous substances)
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Project conclusions – user perspective
The SOCOPSE DSS and associated reports and tools (MFA; ER Fact Sheets etc) to five case studies with very different charactersistics (size, compounds in focus, administrative structure, availability of information).
All case studies were performed in close collaboration with local stakeholders (authorities). DSS was modified and improved based on experiences from case studies
The SOCOPSE DSS was found to provide useful guidance in the case studies, although all steps were not fully evaluated in all case studies. A different approach was taken in the Meuse case.
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Project conclusions – user perspective Lack of information on contaminant levels makes
evaluation of chemical and ecological status difficult in many cases.
Compilation and analysis of control options as well as method for muliticritera analysis of different control options has provided useful guidance for decision makers, but lack of complete information makes development of cost-efficient strategies to reduce contamination difficult.
Modeling combined with available emission and monitoring data can be used to check consistency (mass balance) and identify missing sources and/or potential sites where EQS are exceeded. Fugacity based models e.g. have successfully been used in two of the case studies, Vantaa River and VAH
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Project conclusions – user perspective
The WFD is a new management level. Existing and complex structures of water management, monitoring and responsibility for sources makes efficient planning and decision making difficult
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Conclusions and recommendations on European scale The implementation of the WFD will benefit from a
continued development of decision support tools. The WFD is a strong legislation aimed at improving water quality in Europe. A continued development and adaptation of decision support tools are necessary for a successful implementation of the WFD.
More transparency and openness of information is required. A a larger degree of transparency and openness of information concerning production, use and emissions of chemicals is needed. This lack of information prevents the assessment of the main flow paths and emission sources, and thus the assessment of risks and the development of cost efficient emission control strategies.
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Conclusions and recommendations on European scale
An integrated approach for chemicals is needed for future protection of the environment. To efficiently manage all emission sources an integrated approach involving other directives (REACH, directives on products, electronics and waste, etc.) and international conventions (CLRTAP, Stockholm Convention, HELCOM, OSPAR) is needed.
Model development to support WFD implementation (fate models, DSS, effect based) may be used in situations where complete information on sources and environmental concentrations is absent to identify potential sources and define suitable locations for monitoring.
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Research priorities with a WFD User perspective
Interdisciplinary: Socio-economics, technology, chemistry, hydrology, ecotoxicology.......
Integrated management – Consider multiple pressures on ecological status (PS,
Emerging substances, Nutrients, Hydromorphology, climate.....)
– Basic approach: ecosystem services, effects based– Models, models, models ... from Effects (QSAR);
Material Flow Analysis; Fate (fugacity); Socio- economics, Management options
Transparency, information exchange
User perspective!
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
Multi Pressure Decision Support and Evaluation
System
Production, use and emissions
ImpactsEcological status
Fate and transport
Occurence, exposure
Control options, economic instruments
Socio economicimpacts
IntegrationHarmonization
SimplificationTools and indicators
Management Scenarios
Modelling
Synthesis
SOCOPSEJohn Munthe, ScorePP Wosrkshop, Feb 2, 2010
www.socopse.eu