基于梯形模糊数的矿区地下水环境健康风险评价模型

Assessment Model of Mining Area Groundwater Environmental Health Risk Based on Trapezoidal Fuzzy Numbers

为解决传统确定性评价方法中存在的不确定性问题,适应地下水采样参数峰值较宽特征,将梯形模糊数应用在US EPA健康风险评价方法中,建立地下水环境健康风险评价模型,并以我国位于内蒙古高原地区的某矿区为例,进行地下水环境健康风险评价。结果表明:9口监测井的儿童健康风险值均高出最大可接受范围,其中1号和2号监测井的值分布于两个风险等级中;有7口监测井的成人健康风险高出最大可接受范围,其中3号、4号和8号监测井的风险值分布于两个风险等级中。研究结果可以为决策者提供更加精确的环境健康风险评价方法,为地下水污染防治工作提供依据。

In order to solve the uncertainty problem existing in the traditional deterministic evaluation process, and adapt to the characteristics of a relatively wide range of groundwater sampling parameters, on the basis of US EPA health risk assessment method, the trapezoidal fuzzy number is applied to this method. Assessment model was built up and applied in groundwater environmental health risk assessment for a mining area in Inner Mongolia plateau area as case study. The results showed that the children＇s health risks of nine monitoring wells all exceed the acceptable level, and the values of wells 1 and 2 distributed in two risk levels. The adults＇ health risks of seven monitoring wells also exceed the acceptable level, and the values of well 3, 4 and 8 distributed in two risk levels. This model can provide more accurate assessment information of the health risks for the decision makers and more basis for the prevention and treatment of water pollution.