the scorepp approach to predict releases of priority pollutants from urban sources
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The ScorePP Approach to Predict Releases of Priority Pollutants From Urban Sources. Hans-Christian Holten Lützhøft 1 , Erica Donner 2 , Veerle Gevaert 3 , Webbey De Keyser 3 , Tonie Wickman 4 , Matej Cerk 5 , Eva Eriksson 1 , André Lecloux 6 , Primo ž Banovec 5 and Anna Ledin 1 - PowerPoint PPT PresentationTRANSCRIPT
The ScorePP Approach to Predict Releases The ScorePP Approach to Predict Releases of Priority Pollutants From Urban Sourcesof Priority Pollutants From Urban Sources
Hans-Christian Holten Lützhøft1, Erica Donner2, Veerle Gevaert3, Webbey De Keyser3, Tonie Wickman4, Matej Cerk5, Eva Eriksson1,
André Lecloux6, Primož Banovec5 and Anna Ledin1
1DTU Environment, Technical University of Denmark, Kgs. Lyngby, Denmark2Urban Pollution Research Centre, Middlesex University, London, UK
3BIOMATH, Ghent University, Gent, Belgium4Environmental Monitoring, Stockholm Stad, Stockholm, Sweden
5Faculty of civil and Geodetic Engineering, University of Ljubljana, Ljubljana, Slovenia6Envicat Consulting, Avenue Montesquieu 36, B-1300 Wavre, Belgium
ScorePP Dissemination WorkshopWendake, Quebec
Monday 5 October 2009
AimAimThe main project aim is to develop Source Control Options for Reducing Emissions of Priority Pollutants from urban areas
The specific aim of this task was to identify potential sources and to quantify releases of priority pollutants
Aim Approach Substances Results Conclusions
ApproachApproach
Develop Source Classification Framework
Compile data on sources & releases
Classifying using the Emission String concept
Aim Approach Substances Results Conclusions
Establish releases based on the compiled data
Source Classification FrameworkSource Classification FrameworkRequirements
Content should be structured and organised in a harmonised wayEnsure that the different sources could be distinguished from each otherTo be valid EU wideDynamic and to be used after this project ends
InspirationUS EPA SCCTGDHarmonised codes like CN, NACE and NOSEEINECS, CAS#
Aim Approach Substances Results Conclusions
Source Classification Framework – Source Classification Framework – the the Emission StringEmission String concept concept
CAS #: unique identification of each substanceNOSE: unique identification of emission processes NACE: unique identification of economic activities related with the sourceThe ScorePP defined descriptors of
Urban Structure, comprising e.g.Construction sitesFacilities; e.g. factories, dentists, slaughter houses (i.e. legal entities)HouseholdsRiversRoadsWaste sites/landfills
Release PatternTemporal releases on a daily, weekly and yearly basis
Release Factor
All data are stored in a database
Aim Approach Substances Results Conclusions
Compiling dataCompiling dataRisk Assessment Reports from EUHazardous Substance Data Bank and Household Product Database from US NLMHandbooks and electronic compilations, e.g. the Merck Index, Rippen, the e-Pesticide Manual, Kirk-Othmer’s Encyclopedia of Chemical TechnologyResearch articles
Aim Approach Substances Results Conclusions
Wear & tear
Classifying sources using the ES conceptClassifying sources using the ES concept
Aim Approach Substances Results Conclusions
RP/RF
RP/RF
CAS#
DisposalWaste RP/RFRP/RF RP/RF
RP/RFRP/RF
NACE NOSE US
Waste
WasteWasteWaste
O
O CH3
CH3
OCH3
CH3
O
SCF tested on a selection of WFD substancesSCF tested on a selection of WFD substances
Number of ESs for each PPNumber of ESs for each PP(ab 900 ESs in total)(ab 900 ESs in total)
Aim Approach Substances Results Conclusions
Number of ESs in each urban structureNumber of ESs in each urban structure(ab 900 ESs in total)(ab 900 ESs in total)
Aim Approach Substances Results Conclusions
Archetype sourcesArchetype sourcesAgricultureConstruction sites and buildings
FacilitiesHouseholdsRoadsWaste disposal
Diffuse and other not immediately classifiable sources
Aim Approach Substances Results Conclusions
Fertilizers and pest controlDiuron: 7,5-25 mg/applicationCd: from fertilizers
Building materialsNi: 0,3-0,8 mg/m2 stainless steel/yrCd: 0,01-10 kg/yr from Zn-materialsDEHP: 16 tonnes/yr
ClothesDEHP: 950 kg/yr
GreywaterHg: 17µg/PE/dCd: 5 kg/yrTCE: 8-100 µg/LNi: jewellery, coins, washing etc. Benzo(a)pyrene: 1,8 µg/PE/d
Painting and car washDEHP: 12 kg/yr
Environmental releases due to Environmental releases due to householdshouseholds Heating
Anthracene: 0,8-102 mg/kg woodBenzo(a)pyrene: 2,7 mg/kg coalBenzo(a)pyrene: 27 µg/kg wood
SmokingAnthracene: 34 ng/cigaretBenzene: 10-100 µg/cigaretBenzo(a)pyrene: 5-1600 ng/cigaret
Clothes and building materialsDEHP:250 kg DCM: 10-80 µg/m2/hTCE: 3,6 µg/m2/h
FertilizersCd: 500 g/yr
Building materialsDEHP:600 kg/yr
Plus releases of HCB, HCH, PeCB, TBTs, chlorpyrifos, endrin, Pb, trifluralin and NPs
Aim Approach Substances Results Conclusions
Environmental releases due to Environmental releases due to vehicular transport on vehicular transport on roadsroads
AnthraceneCombustion: 5,2-28 µg/kg fuel burned, depending on vehicle and fuel type
BenzeneCombustion: 4-10 mg/km driven, depending on vehicle type
Benzo(a)pyreneCombustion: 1-8 µg/km driven, without and with catalyst
Cadmium (from both break linings, tyres, fuel and asphalt)7 kg/year is released in Stockholm with 780.000 inhabitants
DEHP (from undercoating)200 kg/year is released in Stockholm with 780.000 inhabitants
MercuryTyres: 4-240 µg/km depending on vehicle typeRoads: 3-17 µg/km depending on vehicle type
NickelCombustion: 21-107 and 3,2-2310 ng/km driven, for gasoline and diesel, respectivelyBrake-linings, tyres and asphalt: 91-182 ng/km
Aim Approach Substances Results Conclusions
Statistics for Denmark year 2007Statistics for Denmark year 2007
Aim Approach Substances Results Conclusions
Environmental releases due to Environmental releases due to vehicular transport on vehicular transport on roadsroads
Depending on fuel and vehicle type:
Anthracene: 12-67 kg Nickel: 4,4-117 kg
Benzene frombusses, lorries etc: 105 tonnes
Cadmium: 49 kg
Mercury: 0,3-12 tonnes
Plus releases of anthracene from wear & tear of tyres and asphalt and release of anthracene, benzene, benzo(a)pyrene due to leakage & spillage
Benzene from cars: 154 tonnes
Benzo(a)pyrene: 360 kg
DEHP: 1,41 tonnes
Release of nickel from Danish highways: 108 kg
Thomas Ruby Bentzen, PhD thesis (2008)
Aim Approach Substances Results Conclusions
Use of emission strings in a framework of Use of emission strings in a framework of consistent approach towards the management consistent approach towards the management PP emissions PP emissions
Aim Approach Substances Results Conclusions
As standardized framework for the exchange of information
Defined in different processess: MonitoringPermittingPublic participationNon-compliance meausresGreen taxes Benchmarking (national, sectorial)Institutional analysis (shared responsibilities i.e. emergency response and regular pollution flow)Impact assessment (shared responsibilities for the impacts)Other
University of Ljubljana
Further elaboration of the classification efforts – Further elaboration of the classification efforts – beyond emission strings (ES as a core definition) beyond emission strings (ES as a core definition)
Aim Approach Substances Results Conclusions
Definition of emission barriersDefinition of emission control measuresDefinition of emission control strategiesDefinition of substitution optionsAdaptation matrix (adaptation of ES to city/watershed level)Definition of economic dimensions of PP pollution (related benefits, costs)Definition of perception of the DPSIR concept by individuals – behaviour of households Definition of the emissions from product use (not only activities)
University of Ljubljana
Process definitions applied:Process definitions applied:
ES + AM + EB = emissions = Localized emission load ES + AM + EB = emissions = Localized emission load
Aim Approach Substances Results Conclusions
University of Ljubljana
Emission control measures (ECM)Emission control measures (ECM)Emission control strategie (ECS) Emission control strategie (ECS)
ConclusionsConclusionsSCF established – based on literature knowledge about sourcesAbout 900 ESs established for the 25 WFD substances
Overall 16% with concrete knowledge about release quantitiesOverall 65% without any quantitative data on release into the technosphere
WFD substances occur in a wide variety of sources and activities in urban settings and are released to all studied compartments
Most sources are related to production activitiesOther large categories are households, waste disposal, agriculture, construction and transport
Classifying the sources according to the Urban Structure descriptor enables
Sources to be linked to GIS, thus enhancing visualisationDefinition of archetype sources and thus a better targeting of mitigation options and Emission Control Strategies
Aim Approach Substances Results Conclusions
AcknowledgementAcknowledgementThe presented results have been obtained within the framework of the project ScorePP - “Source Control Options for Reducing Emissions of Priority Pollutants”, contract no. 037036, a project coordinated by Department of Environmental Engineering, Technical University of Denmark within the Energy, Environment and Sustainable Development section of the European Community’s Sixth Framework Programme for Research, Technological Development and Demonstration.