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关闭搬迁企业地块风险筛查方法评估——基于EPACMTP模型的研究
引用本文:李天魁,刘毅,谢云峰.关闭搬迁企业地块风险筛查方法评估——基于EPACMTP模型的研究[J].中国环境科学,2018,38(10):3985-3992.
作者姓名:李天魁  刘毅  谢云峰
作者单位:1. 清华大学环境学院, 北京 100084; 2. 中国环境科学研究院, 北京 100012
基金项目:重点行业企业用地风险筛查模型验证与优化(20182000801)
摘    要:通过污染物迁移转化多介质模型-EPACMTP模型,使用区域灵敏度分析、全局灵敏度分析与实证案例验证等方法,对风险筛查指标体系的指标完备性、权重与赋分合理性及判断可靠性进行了研究.结果表明,除渗滤液浓度外,风险筛查指标涵盖了所有灵敏度显著的参数(13个);对于大部分灵敏度或重要性较高的参数给予了较大权重,对重点区域面积、离最近敏感目标的距离等两项指标的赋分整体合理;对低污染场地的判断结果较为可靠.最后,本文建议风险筛查过程中进一步提高对污染物迁移过程的关注,对指标内部分级与赋分进行调整,并重点关注中高风险场地与砷污染场地.

关 键 词:多介质模型  污染场地  风险筛查  
收稿时间:2018-03-07

Assessment of the risk classification method for closed industrial contaminated sites-A study based on EPACMTP model
LI Tian-kui,LIU Yi,XIE Yun-feng.Assessment of the risk classification method for closed industrial contaminated sites-A study based on EPACMTP model[J].China Environmental Science,2018,38(10):3985-3992.
Authors:LI Tian-kui  LIU Yi  XIE Yun-feng
Institution:1. School of Environment, Tsinghua University, Beijing 100084, China; 2. Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Abstract:This paper used the contaminant fate and transport multimedia model (EPACMTP model) to assess the risk classification method for a national soil quality survey program. Regional sensitivity analysis, global sensitivity analysis and empirical verification were conducted. The work focused on the completeness of indicators, credibility of classification and robustness of weighting and scoring. The result showed that almost all (13in total) sensitive parameters were covered by the risk classification method, except for leachate concentration. Parameters with high sensitivity and importance were usually given relatively high weights. The scores for site area and distance to receptor were shown to be reasonable. The classification for low-risk sites were generally accurate. This study recommended that more attention should be paid to contaminant transport process. Suggestions were given on indicator weighting and scoring. We also suggested focusing on medium-and high-risk sites, as well as arsenic contaminated sites.
Keywords:multimedia model  contaminated sites  risk classification  
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