Repository hosted by TU Delft Library

Home · Contact · About · Disclaimer ·
 

Application of the emission inventory model TEAM: Uncertainties in dioxin emission estimates for central Europe

Publication files not online:

Author: Pulles, M.P.J. · Kok, H. · Quass, U.
Type:article
Date:2006
Institution: TNO Bouw en Ondergrond
Source:Atmospheric Environment, 13, 40, 2321-2332
Identifier: 239188
Keywords: Emission · Air emissions · Dioxins/furans · Policy implications · Uncertainty · Industrial emissions · Organic compounds · Particulate emissions · Public policy · Air emissions · Dioxins/furans · Policy implications · Uncertainty · Air pollution · dioxin · furan derivative · atmospheric pollution · dioxin · emission inventory · air pollutant · air pollution control · article · ecosystem · Europe · industrial area · management · Monte Carlo method · organic pollution · priority journal · Eurasia · Europe

Abstract

This study uses an improved emission inventory model to assess the uncertainties in emissions of dioxins and furans associated with both knowledge on the exact technologies and processes used, and with the uncertainties of both activity data and emission factors. The annual total emissions for the year 2000 in 13 countries in central and eastern Europe can be estimated with 90% confidence within a range that is about a factor of 2-3 lower to a factor of 3-5 higher than a point value obtained from a more classical approach. It is also shown that the contribution of small residential sources and larger industrial installations and processes are of the same order of magnitude in these countries. It is argued that, despite these uncertainties, policy options can be evaluated and policy decisions on abatement of dioxin and furan emissions can be made. Dioxins and furans belong to the persistent organic pollutants (POPs), an important group of air pollutants that can have long-term effects on ecosystems and human health. Emission estimates for these pollutants all suffer from high uncertainties. This study shows that policy conclusions can still be derived despite these high uncertainties. © 2006 Elsevier Ltd. All rights reserved.