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作者:

Liu, L (Liu, L.) | Cheng, SY (Cheng, SY.) (学者:程水源) | Guo, HC (Guo, HC.)

收录:

Scopus SCIE

摘要:

An integrated simulation-assessment modeling approach for analyzing environmental risks of groundwater contamination is proposed in this paper. It incorporates an analytical groundwater solute transport model, an exposure dose model, and a fuzzy risk assessment model within a general framework. The transport model is used for predicting contaminant concentrations in subsurface, and the exposure dose model is used for calculating contaminant ingestion during the exposure period under given exposure pathways. Both models are solved through the Monte Carlo simulation technique to reflect the associated uncertainties. Based on consideration of fuzzy relationships between exposure doses and cancer risks, risk levels of different exposure doses for each contaminant can be calculated to form a fuzzy relation matrix. The overall risks can then be quantified through further fuzzy synthesizing operations. Thus, probabilistic quantification of different risk levels (possibilities) can be realized. Results of the case study indicate that environmental risks at the waste landfill site can be effectively analyzed through the developed methodology. They are useful for supporting the related risk-management and remediation decisions.

关键词:

contamination environmental risk fuzzy set landfill Monte Carlo simulation possibility probability uncertainty waste

作者机构:

  • [ 1 ] Dalhousie Univ, Dept Civil Engn, Halifax, NS B3J 1Z1, Canada
  • [ 2 ] Beijing Univ Technol, Coll Environm & Energy Engn, Beijing, Peoples R China
  • [ 3 ] Peking Univ, Coll Environm Sci, Beijing 100871, Peoples R China

通讯作者信息:

  • [Liu, L]Dalhousie Univ, Dept Civil Engn, 1360 Barrington St, Halifax, NS B3J 1Z1, Canada

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来源 :

HUMAN AND ECOLOGICAL RISK ASSESSMENT

ISSN: 1080-7039

年份: 2004

期: 2

卷: 10

页码: 373-388

4 . 3 0 0

JCR@2022

ESI学科: ENVIRONMENT/ECOLOGY;

JCR分区:3

被引次数:

WoS核心集被引频次: 23

SCOPUS被引频次: 26

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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