Zhang Qiuwen, Yang Xiaohong, Zhang Yan, Zhong Ming
College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China ; School of Municipal and Geomatics Engineering, Hunan City University, Yiyang 413000, China.
College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
ScientificWorldJournal. 2013 Dec 22;2013:610390. doi: 10.1155/2013/610390. eCollection 2013.
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.
地下水污染是对供水的严重威胁。地下水污染风险评估是保护地下水资源安全的有效途径。地下水是一个复杂且模糊的系统，存在许多不确定性，受到不同地质和水文因素的影响。为了应对地下水污染风险评估中的不确定性，我们提出一种将层次分析法和模糊综合评价相结合的方法。首先，采用源-途径-受体-后果法识别地下水污染的风险因素，并建立基于DRASTIC模型的相应风险评估指标体系。由于可能的污染风险之间的转化过程复杂以及因素的不确定性，应用层次分析法确定各因素的权重，并采用模糊集理论计算各因素的隶属度。最后，通过一个案例研究来说明和检验该方法。结果表明，所提出的方法综合了层次分析法和模糊综合评价的优点，为处理地下水污染中的语言不确定性和机制不确定性提供了一种更灵活、可靠的方法，且不会丢失重要信息。
