Upload
elinor-williams
View
213
Download
0
Embed Size (px)
Citation preview
ESPREME Project – TFEIP Pallanza 10/2004
ESPREMEEstimation of willingness-to-pay to reduce risks of exposure toheavy metals and cost-benefit analysis for reducing heavy metals occurrence in Europe
• STREP, funded by DG Research under FP6-2002-SSP-1 – Policy Oriented Research• started 01/2004• duration: 36 months
Website: http://espreme.ier.uni-stuttgart.de
contact: [email protected]
ESPREME Project – TFEIP Pallanza 10/2004
The ESPREME Team
Participant Name Short Country Task/Expertise
University of Stuttgart, Institute of Energy Economics and the Rational Use of Energy
IER Germany Co-ordinator, emissions, water/soil modelling, CBA/CEA, Integrated assessment modelling
Norwegian Institute for Air Research NILU Norway Emissions, abatement measures
Institute for Ecology of Industrial Areas IETU Poland Emission abatement measures, country expert Poland
Swedish Environmental Research Institute IVL Sweden Exposure-response functions health, modelling
Institute of Occupational Medicine IOM UK Exposure-response functions ecosystems
EMEP Meteorological Synthesizing Centre – East MSC-E International Atmospheric dispersion modelling
Institute for Atmospheric Pollution CNR-IIA Italy Country expert Italy, abatement measures, emissions, mediterranean conditions
Czech Hydrometeorological Institute CHMI Czech Republic
Country expert CZR, abatement measures, emissions
ETZEL ETZEL Hungary Country expert Hungary, abatement measures, emissions
NILU Polska NILU_POL Poland Emission control costs, macroeconomic feasibility study
ESPREME Project – TFEIP Pallanza 10/2004
Approach
The approach consists of the following steps:1. Consolidate, improve and provide European wide emission data of heavy metals
(Hg, Cd, Pb, Ni, As and Cr)
2. Collect systematic data on the possibilities to reduce emissions.
3. 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.
4. Collect data on thresholds and information on exposure–response relationships.
5. Estimate the willingness-to-pay to avoid damage from HM exposure by transferring
values from available contingent valuation studies.
6. Set up an integrated assessment model (IAM).
7. Carry out runs of the IAM to identify cost effectiveness strategies, i.e. bundles of
measures that achieve compliance with thresholds and cost-benefit analyses to
identify bundles of measures, where the difference between benefits and costs
is maximised.
8. Conduct a feasibility study to identify approaches and further research needs
for macro-economic assessment of HM abatement strategies.
Objectives of work package 2
• Establish a detailed European emission inventory for the priority
metals (mercury, cadmium, chrome, nickel, arsenic and lead), relevant stock and activities for the base year 2000 and a scenario for 2010
• Identify main sources / sectors for the evaluation of potential abatement options (WP03) and compile a measure database containing information on performance, costs and applicability of abatement options (technical and non-technical)
• Provide emissions per substance that are temporally and spatially resolved for atmospheric (WP04) and water/soil modelling (WP05) purposes► to be available on the project website in a couple of weeks, inviting experts to check, review and comment
ESPREME Project – TFEIP Pallanza 10/2004
IERWater/Soil Model
(WP05)HM
Optimisation Model(WP07)
EMEPMSC-E HM-Model
(WP04)
Feasibility Study(WP08)
SR-RelationshipsBasemaps, ...
costsbenefits(by country, sector, ...)
HM abatement strategies for Europe
policy deployment (WP09)
HM Emissions(WP02)
Abatement measuresStock/Activity data(WP03)
direct releasesinto water/soil
HM via air (by landcover)
SR-RelationshipsBasemaps, ...
Exposure-ResponseFunctions(WP06)
Model Framework