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Risk Assessment of Groundwater Contamination: A Multilevel Fuzzy Comprehensive Evaluation Approach Based on DRASTIC Model

机译:地下水污染风险评估:基于DRASTIC模型的多层次模糊综合评价方法

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摘要

Groundwater contamination is a serious threat to water supply. Risk assessment of groundwater contamination is an effective way to protect the safety of groundwater resource. Groundwater is a complex and fuzzy system with many uncertainties, which is impacted by different geological and hydrological factors. In order to deal with the uncertainty in the risk assessment of groundwater contamination, we propose an approach with analysis hierarchy process and fuzzy comprehensive evaluation integrated together. Firstly, the risk factors of groundwater contamination are identified by the sources-pathway-receptor-consequence method, and a corresponding index system of risk assessment based on DRASTIC model is established. Due to the complexity in the process of transitions between the possible pollution risks and the uncertainties of factors, the method of analysis hierarchy process is applied to determine the weights of each factor, and the fuzzy sets theory is adopted to calculate the membership degrees of each factor. Finally, a case study is presented to illustrate and test this methodology. It is concluded that the proposed approach integrates the advantages of both analysis hierarchy process and fuzzy comprehensive evaluation, which provides a more flexible and reliable way to deal with the linguistic uncertainty and mechanism uncertainty in groundwater contamination without losing important information.
机译:地下水污染是对供水的严重威胁。地下水污染的风险评估是保护地下水资源安全的有效途径。地下水是一个复杂而模糊的系统,具有许多不确定性,受到不同地质和水文因素的影响。为了解决地下水污染风险评估中的不确定性,我们提出了一种将层次分析法与模糊综合评价法相结合的方法。首先,通过源-途径-受体-结果法确定了地下水污染的风险因素,建立了相应的基于DRASTIC模型的风险评估指标体系。由于可能的污染风险和不确定因素之间的转换过程复杂,因此采用层次分析法确定各因素的权重,采用模糊集理论计算各因素的隶属度。因子。最后,提供了一个案例研究来说明和测试这种方法。结论是,该方法综合了层次分析法和模糊综合评价法的优点,为处理地下水污染中的语言不确定性和机理不确定性提供了一种更加灵活可靠的方法,而又不会丢失重要信息。

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