蒙特卡罗方法
地下水
分摊
污染物
环境科学
健康风险
风险评估
健康风险评估
污染
环境工程
水资源管理
风险分析(工程)
地质学
计算机科学
环境卫生
统计
数学
岩土工程
化学
医学
计算机安全
生态学
有机化学
政治学
法学
生物
作者
Kuo Pang,Kunli Luo,Shixi Zhang,Litao Hao
标识
DOI:10.1016/j.jhazmat.2024.135666
摘要
Accurately assessing the health risks posed by major contaminants is essential for protecting groundwater. However, the complexity of pollution sources and the uncertainty of parameters pose challenges for quantitative health risk assessment. In this study, a source-oriented groundwater risk evaluation process was improved by screening key pollutants, employing a combined hydrochemical and positive matrix factorization (PMF) approach for source apportionment, and incorporating two-dimensional Monte Carlo simulation for risk characterization. The application of this process to groundwater assessment in Central Jiangxi Province identified NO
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