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土壤理化性质对污染场地环境风险不确定性的影响
引用本文:张大定,曹云者,汪群慧,谢云峰,柳晓娟,李发生.土壤理化性质对污染场地环境风险不确定性的影响[J].环境科学研究,2012,25(5):526-532.
作者姓名:张大定  曹云者  汪群慧  谢云峰  柳晓娟  李发生
作者单位:1.北京科技大学土木与环境工程学院;环境基准与风险评估国家重点实验室,中国环境科学研究院
基金项目:国家环境保护公益性行业科研专项(200709033,201109017)
摘    要:以某化工污染场地中挥发性有机物苯的环境风险评价为例,研究了土壤有机质含量、土壤含水率、土壤容重等理化性质对风险评价结果的影响.在土壤污染物苯浓度不变的前提下,土壤有机质含量、土壤含水率和土壤容重在场地条件下随机取值的变异范围分别为0.31%~2.31%、0.12~0.25和1.25~1.75 g/cm3.10 000次蒙特卡罗模拟结果表明,在95%置信水平下,苯的总致癌风险(概率值)在1.45×10-5~2.74×10-5之间.在该场地条件下,土壤有机质含量是影响苯风险不确定性的最主要因素,其对风险评价结果不确定性的贡献率高达90.2%;土壤含水率和土壤容重的贡献率分别为5.6%和4.2%.因此,在土壤污染健康风险评价过程中,应对理化参数进行敏感性分析,对评价结果影响较大的关键参数取值需慎重. 

关 键 词:污染场地    环境风险评价    不确定性        蒙特卡罗

Effects of Soil Physical-Chemical Properties on Risk Uncertainty in a Contaminated Site
ZHANG Da-ding,CAO Yun-zhe,WANG Qun-hui,XIE Yun-feng,LIU Xiao-juan and LI Fa-sheng.Effects of Soil Physical-Chemical Properties on Risk Uncertainty in a Contaminated Site[J].Research of Environmental Sciences,2012,25(5):526-532.
Authors:ZHANG Da-ding  CAO Yun-zhe  WANG Qun-hui  XIE Yun-feng  LIU Xiao-juan and LI Fa-sheng
Institution:1.School of Civil & Environmental Engineering,Beijing University of Science and Technology,Beijing 100083,China 2.State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing 100012,China
Abstract:The effects of spatial heterogeneity of soil organic matter(SOM),soil moisture(Pws) and soil bulk density(ρb) on benzene risk in a benzene-contaminated chemical plant were evaluated using Monte Carlo simulation.Under the conditions of identical benzene concentration,the values of SOM,Pws and ρb acquired from site investigation varied in the range of 0.31%-2.31%,0.12-0.25 and 1.25-1.75 g/cm3,respectively.The results of 10,000 times Monte Carlo simulation showed that at the 95% confidence level,the minimum and maximum carcinogenic risk of benzene was 1.45×10-5 and 2.74×10-5,respectively.SOM was the most sensitive soil parameter evaluated;it could explain 90.2% of the variance in the carcinogenic risk of benzene.The remaining variance was explained by Pws and ρb,with contributions of 5.6% and 4.2%,respectively.Therefore,the sensitivity analysis of the model parameters,especially soil physical-chemical parameters,is very important in contaminated site risk assessment.The value of the sensitive soil parameters must be determined very carefully to ensure a reasonable risk assessment result.
Keywords:contaminated site  environmental risk assessment  uncertainty  benzene  Monte Carlo
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