首页 | 本学科首页   官方微博 | 高级检索  
     


Development of quantitative estimates of uncertainty in environmental risk assessments when the scientific data base is inadequate
Authors:C. Richard Cothern   William A. Coniglio  William L. Marcus
Affiliation:1. School of Economics and Management, Beihang University, Beijing 100191, China;2. Center for Social and Environmental Systems Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba-City, Ibaraki 305-8506, Japan;3. College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;4. Department of Environmental Engineering, Kyoto University, Nishikyo-ku, Kyoto 615-8540, Japan;5. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Abstract:The reasons for developing quantitative estimates of uncertainty in environmental risk assessments are discussed along with a method for developing them which involves scientific judgement. In the situation considered here the regulatory needs are ahead of the science, which makes the development of the estimates on uncertainty more difficult, but not impossible. Quantitative estimates for all uncertainties involved in the estimation of risk resulting from exposure to volatile organic compounds (VOCs) in drinking water are developed and tabulated. By far the largest contribution to the uncertainty in the risk estimates for VOCs in drinking water are due to uncertainty in the extrapolation of the dose-response curve to low levels. The uncertainty due to extrapolation is on the order of 104 and 106. Other components of the analysis may contribute uncertainties of a few orders of magnitude. In general the largest uncertainties are in the toxicological data base and the manipulation of it needed to estimate risk. The data base and manipulations needed to estimate exposure due to VOCs in drinking water were at the more an order to magnitudes in uncertainty.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号