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This document outlines the essential sources of data relevant to air pollution and its effects on ecosystems and human health. It includes activity scenarios across sectors like energy, agriculture, and VOCs, emission factors and control technologies, baseline legislation, and pollution dispersion models. It consolidates data from EU and non-EU countries, detailing methodologies for assessing damages from air pollution, including its impact on ecosystems, human health, and compliance with current legislation. It serves as a thorough resource for understanding emissions and their consequences.
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Data sources for GAINS Janusz Cofala and Stefan Astrom
Outline Sources of data on: • activity scenarios (energy, process, agriculture and VOC) • emission factors • emission control technologies (efficiencies and costs) • baseline legislation and MTRF legislation • dispersion of air pollutants • sensitivity of ecosystems and humans to air pollution
Activity data EU countries: • PRIMES Baseline 2009 for energy, mobile and processes • CAPRI scenario for agriculture • national activity pathways • VOC national data (bilateral consultations from CAFE Project with updates, submissions of industrial associations)
Activity data Non-EU EECCA countries: Data for historic years consistent – to an extent possible - with international statistics (UN, OECD/IEA). Data for some countries verified by national experts
Emission factors and control technologies Emission factors • fuel characteristics • results of measurements (international and national studies – if representative enough) • emission models for transport (COPERT IV) Control technologies (reduction efficiencies and costs) • BREF documents • work of Expert Group on Techno-Economic Issues (EGEI) • other literature
Country-specific cost parameters What is country-specific? • wages • electricity and fuel prices (net of taxes) • costs of waste disposal etc. Data sources • inputs by national experts • international and national statistics (UN, OECD, IEA) • if details not available, correlation with GDP
Pollution dispersion • based on EMEP Eulerian model (includes emissions by SNAP 1 sector for 40+ regions, 50*50 km grid) • several runs for different emission levels used for development of linear pollution transfer coefficients (country to grid) • for main scenarios validity of assumptions on linearity checked ex post by full EMEP model runs • for majority of cases linear approximation good enough
Current legislation measures - European Union EU legislation on stationary sources plus national legislation (if stricter), e.g.: • S in Liquid Fuels Directive, • Industrial Emissions Directive, • Landfill Directive, • Legislation of agricultural emissions • Legislation on mobile sources: • EURO stages for road transport and equivalents for non-road • directives on fuel quality for mobile sources
Current legislation measures – EECCA and Balkan countries • national emission limit values (ELVs) on stationary combustion and process sources • countries of the European Energy Community (Albania, Bosnia and Herzegovina, Kosovo, Croatia, Macedonia, Montenegro and Serbia): • ELVs on stationary sources as in the EU Large Combustion Plant Directive (from 2018) • S in Liquid Fuels Directive (from 2012) • mobile sources: • Euro stages for transport sources (source: national data, Diesel Net database) • corresponding fuel quality improvement • includes country-specific assumptions on vehicle turnover and imports of used cars
MTFR legislation • BAT for each sector • Includes constraints on applicability • structure and turnover of capital stock, • specificity of applied production technologies • Legislation on mobile sources as in the “current legislation” • no accelerated scrappage • no retrofits (e.g., fitting of particle filters) • MTFR calculated with GAINS optimization routine • Results put back to GAINS online • controls specified only for activity/sector combinations that exist in a given pathway
Damage to ecosystems from air pollution • Methodology developed by the CLRTAP Coordination Centre for Effects (CCE). • Ecosystem-specific critical loads and levels for: • forest soils (acidification and eutrophication) • semi-natural vegetation (eutrophication, species richness, acidification) • natura 2000 areas (acidification and eutrophication) • agricultural crops • acidification of surface waters • vegetation damage from ground-level ozone (AOT 40)
Damage to human health from air pollution (1) • Assessment consistent with EC4MACS Project methodologies, follows World Health Organization recommendations • Damage caused by PM2.5 concentrations (primary PM and aerosols) • WHO relative risk factors from cardiovascular and lung deseases • impacts expressed as loss of life expectancy • only mortality impacts on adults (>30 years) included in GAINS • uses UN ”life tables” and population forecasts up to 2050 • concentrations for 50*50 km grid cells, for urban areas ”city-delta” correction included • benefits assessment (done by AEA Technology) includes also impacts on morbidity andinfant mortality
Damage to human health from air pollution (2) • Risk from ground-level ozone (SOMO35) • premature deaths included in GAINS • benefits assessment includes also morbidity impacts (respiratory hospital admissions, restricted activity days, respiratory medication use)
Detailed material • EGTEI work (http://www.citepa.org/forums/egtei/egtei_index.htm) • BREF documents (http://eippcb.jrc.es/reference/ • IIASA reports on methodology and data for individual pollutants (http://gains.iiasa.ac.at/index.php/publications/reports-n/reports-2) • GAINS online (http://gains.iiasa.ac.at/)