An intelligent data collection tool for chemical safety/risk assessment

被引:4
|
作者
Verdonck, Frederik A. M. [1 ,2 ]
Van Sprang, Patrick A. [2 ]
Vanrolleghem, Peter A. [1 ,3 ]
机构
[1] Univ Ghent, Dept Appl Math Biometr & Proc Control, BIOMATH, B-9000 Ghent, Belgium
[2] European Ctr Risk Assessment EURAS, Ghent, Belgium
[3] Univ Laval, Dept Genie Civil, ModelEAU, Quebec City, PQ G1K 7P4, Canada
关键词
EUSES; sensitivity analysis; uncertainty; REACH; exposure scenario;
D O I
10.1016/j.chemosphere.2007.08.072
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
REACH (Registration, Evaluation, Authorisation and Restriction of Chemicals) is the new European chemical legislation which aims to assess risk or safety of tens of thousands of chemicals to improve the protection of human health and the environment. The chemical safety assessment process is of an iterative nature. First, an initial, worst-case assessment is conducted after which refinements are made until no risk has been estimated or the risk is adequately controlled. Wasting time and resources on additional testing and implementing risk management measures with low effect on risk conclusions should be avoided as much as possible. This paper demonstrates the usefulness of all intelligent data collection strategy based on a sensitivity (and uncertainty) analysis on the risk assessment model EUSES to identify and order the most important "within-EU-TGD-reducible" input parameters influencing the local and regional risk characterisation ratios. The ordering can be adjusted for the costs involved in additional testing (e.g. ecotoxicity, physico-chemical properties, emission estimates, etc.). The risk refinement tool therefore reduces the resources needed to obtain a realistic risk estimate (both less conservative and less uncertain) as efficient as possible. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1818 / 1826
页数:9
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