Using Multiple Regression in Estimating (semi) VOC Emissions and Concentrations at the European Scale
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
This paper proposes a simple method for estimating emissions and predicted environmental concentrations (PECs) in
water and air for organic chemicals that are used in household products and industrial processes. The method has
been tested on existing data for 63 organic high-production volume chemicals available in the European Chemicals
Bureau risk assessment reports (RARs). The method suggests a simple linear relationship between Henry's Law
constant, octanol-water coefficient, use and production volumes, and emissions and PECs on a regional scale in the
European Union. Emissions and PECs are a result of a complex interaction between chemical properties, production
and use patterns and geographical characteristics. A linear relationship cannot capture these complexities; however, it
may be applied at a cost-efficient screening level for suggesting critical chemicals that are candidates for an in-depth
risk assessment. Uncertainty measures are not available for the RAR data; however, uncertainties for the applied
regression models are given in the paper. Evaluation of the methods reveals that between 79% and 93% of all
emission and PEC estimates are within one order of magnitude of the reported RAR values. Bearing in mind that the
domain of the method comprises organic industrial high-production volume chemicals, four chemicals, prioritized in
the Water Framework Directive and the Stockholm Convention on Persistent Organic Pollutants, were used to test the
method for estimated emissions and PECs, with corresponding uncertainty intervals, in air and water at regional EU
level.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Atmospheric Pollution Research |
Vol/bind | 1 |
Udgave nummer | 3 |
Sider (fra-til) | 132-140 |
Status | Udgivet - 2010 |
Eksternt udgivet | Ja |
ID: 297004817