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区间数的饮用水源地健康风险模糊综合评价
引用本文:胡习邦,王俊能,许振成,曾东. 区间数的饮用水源地健康风险模糊综合评价[J]. 环境科学与技术, 2012, 0(Z2): 349-355
作者姓名:胡习邦  王俊能  许振成  曾东
作者单位:环境保护部华南环境科学研究所
基金项目:国家科技重大专项(2008ZX07211)
摘    要:利用区间数表示饮用水源地水环境中污染物浓度的不确定性,构建了基于区间数的饮用水源地水质导致的健康风险评价模型。同时,建立模糊化的风险评价标准体系,将风险评价标准分为低、低-中、中、中-高、高和极高6个风险等级,并运用综合评判法得出健康风险评价的等级。选取饮用水源地水环境中多种污染物为评价因子,将基于区间数和模糊理论的饮用水源地水环境健康风险模糊综合评价模型应用于9个城市饮用水源地水环境健康风险评价中。评价结果表明:重庆、广州、乌鲁木齐等3个城市水源地的水环境健康风险水平较高;儿童和青少年的个人年风险明显高于成人的个人年风险。

关 键 词:区间数  模糊化  健康风险评价  水源地

Integrated Fuzzy Model Based on Interval Number for the Assessment of Environmental Health Risk of Drinking Water Resources
HU Xi-bang,WANG Jun-neng,XU Zhen-cheng,ZENG Dong. Integrated Fuzzy Model Based on Interval Number for the Assessment of Environmental Health Risk of Drinking Water Resources[J]. Environmental Science and Technology, 2012, 0(Z2): 349-355
Authors:HU Xi-bang  WANG Jun-neng  XU Zhen-cheng  ZENG Dong
Affiliation:(South China Institute of Environmental Sciences.MEP,Guangzhou 510655,China)
Abstract:The model uses interval numbers to represent contaminant concentration uncertainties and expert consultation to establish the risk assessment system.A fuzzy assessment model was developed to describe environmental health risks from water sources.In the system,the risks were classified into six levels of"low","low-medium","medium","medium-high","high"and "very-high".Single-level comprehensive assessment was used to obtain the level of health risk assessment.On the basis of the interval numbers and fuzzy theory,an integrated fuzzy model for environmental health risk assessment of drinking water sources was developed,and the model was used to assess the health risks of drinking water source associated with the nine cites.The selected parameters were several water quality indicators.The results showed that the individual annual environmental health risk level of the Chongqing,Guangzhou and Urumchi city was quite higher than other six cities.The annual health risk for an individual child was slight higher than that for an individual adult.
Keywords:interval numbers  fuzzy  health risk assessment  drinking water source
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