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This project aims to develop a strategy for reducing heavy metal emissions in Europe using integrated assessment modeling and cost-effective measures.
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Progress within ESPREME on heavy metal emission inventories FP6-2002-SSP-1 - Policy Oriented Research - Contract No.: 502527 - Jan 2004 - Dec 2006 Jochen Theloke, IER, University of Stuttgart TFMM 7th Meeting, FMI, Helsinki
Aim: • Provision of information, that can contribute to the development of a strategy for reducing the occurrence of heavy metals in the environment in Europe. • This strategy should be • effective • efficient • Europe-wide • and should make use of the state-of-the-art in integrated assessment modelling.
The ESPREME Project Team University of Stuttgart, Institute of Energy Economics and the Rational Use of Energy (IER) co-ordinator Norwegian Institut of Air Research (NILU) Institute of Ecology of Industrial Areas (IETU) Swedish Environmental Research Institut (IVL) Institute of Occupational Medicine (IOM) EMEP Meteorological Synthesizing Centre – East (MSC-E) Institute for Atmospheric Pollution (CNR-IIA) Czech Hydrometeorological Institute (CHMI) ETZEL, Hungary NILU Polska
Approach • The approach consists of the following steps: • Consolidate, improve and provide European wide emission data of heavy metals(Hg, Cd, Pb, Ni, As and Cr) • Collect systematic data on the possibilities to reduce emissions. • Improve models for the transport of HM in the atmosphere, soil and water and apply them to simulate the transport of HM in these media; modeling results will be evaluated vs. measurement data. • Collect data on thresholds and information on exposure–response relationships. • Estimate the willingness-to-pay to avoid damage from HM exposure by transferringvalues from available contingent valuation studies. • Set up an integrated assessment model (IAM). • Carry out runs of the IAM to identify cost effectiveness strategies, i.e. bundles ofmeasures that achieve compliance with thresholds and cost-benefit analyses toidentify bundles of measures, where the difference between benefits and costs is maximised. • Conduct a feasibility study to identify approaches and further research needs for macro-economic assessment of HM abatement strategies.
HM Emissions(WP02) Abatement measures Stock/Activity data(WP03) SR-Relationships Basemaps, ... EMEPMSC-E HM-Model(WP04) direct releasesinto water/soil Exposure-ResponseFunctions(WP06) HM via air (by landcover) IERWater/Soil Model(WP05) W HMOptimisation Model(WP07) SR-Relationships Basemaps, ... costs benefits (by country, sector, ...) HM abatement strategies for Europe policy deployment (WP09) Feasibility Study(WP08) ESPREME Model Framework
-34% -57% -22% -42% -22% -41% -20% -40% -23% -43% ESPREME HM emissions to air – Expert emission inventory for the base case 2000 and scenarios of future development, BAU+Climate and MTFR, for 2010
-36% -54% ESPREME Hg total emission projection and sectoral contribution to 2010 BAU+Climate total Hg emissions
ESPREME Hg speciation of emissions for the base case 2000 by sector
Method for generation of heavy metal emissions in spatial and temporal resolution Annual emissions from NILU (country totals) in coarse sectoral resolution Sectoral disaggregation to SNAP level 3 and spatial (NUTS level 1, 2 or 3) disaggregation by indicators of the IER GENEMIS Emission Model Disaggregated annual emission table as input for the IER GENEMIS EmissionModel GIS intersection LPS data base Land use data ECM Temporal profiles Digital road maps Temporally (hourly/daily) and spatially (50 x 50 km, EMEP grid) resolved heavy metal emission data sets
Spatially resolved annual emissions of total Hg for the 2010 BAU+Climate scenario (following page: same for As, Cd, Cr and Ni)
Based on„Assessment and reduction of heavy metal input into agro-ecosystems” (AROMIS, concerted action, co-ord KTBL) http://www.ktbl.de/english/aromis/ Inputs Fertilisers (mineral and organic like compost, sewage sludge and livestock manure) Plant protection products Livestock feeds Data of different quality and comprehensiveness are provided for 21 countries No data for As and Hg available HM releases to agricultural soils Inputs to soil
Data availibility from the AROMIS data base
Due to limitation of AROMIS: different inventories necessary Inventory directly derived from AROMIS Explicitly Reported Values (ERV) 11 countries Derived inventories for the whole of the geographical scope Relate flows [mass/time] to activity indicator per input category Identify activity-specific minimum and maximum flows Apply these flows to the other countries according to their respective activities Inventories Minimum pan-European Emission (MinEE) Maximum pan-European Emission (MaxEE) Inputs to soil Inventories of HM releases to soil
12000 t/a 2515 t/a 4548 t/a 552 t/a Inputs to soil
12000 t/a 2515 t/a 4548 t/a 552 t/a Inputs to air Inputs to soil
Total amounts from 40 countries for MinEE and MaxEE inventories At least as much as for air Presumably more relevant for human health due to direct application to soils Difference in bioavailability between atmospheric and agricultural inputs? Pan-European emission inventories based on rough assumptions The data situation on HM releases to soil is poor Input-related activity data are currently lacking E.g., some mineral fertilisers, organic fertilisers, pesticides, and sewage sludge Inputs to soil HM into soils: conclusions
Inputs to water All facilities for which emissions of heavy metals directly into water are reported at present in the EPER database Data from EPER
Inputs to water All facilities for which emissions of heavy metals indirectly into water are reported at present in the EPER database Data from EPER
Heavy metal Air Water direct indirect As 31300 24400 2860 Cd 24200 14200 4810 Cr 223000 998000 252000 Hg 24500 2160 639 Ni 171000 41400 493000 Pb 630000 116000 28100 Total emissions from EPER data base 2001 [kg/a]
TFEIP & ESPREME WorkshopHeavy Metals and POPs Emissions, Inventories and Projections Rovaniemi/Finland Oct 18/19, 2005 Contact: Rainer Friedrich rf@ier.uni-stuttgart.de Jochen Theloke jt@ier.uni-stuttgart.de Till Bachmann tb@ier.uni-stuttgart.de Further information: http://espreme.ier.uni-stuttgart.de http://espreme.ier.uni-stuttgart.de/workshop