基于云模型的东平湖枯水期地下水水质评价

为考察南水北调东线工程通水前后东平湖地区枯水期地下水水质变化情况,引入云模型,选择总硬度、SO_4~(2-)、Cl~-、NO_3~-、NH_4~+、F~-6个水质指标作为评价因子,将南水北调东线工程通水前后的东平湖地下水水质实测数据输入云模型,得到各评价因子的确定度和基于权重计算的各采样点的综合确定度,由最大确定度确定各采样点的水质级别。结果表明,南水北调东线工程通水后,所采集的7个地下水水样的水质级别并未降低,湖区东部水样的水质劣于西部。

Evaluation of groundwater quality of Dongping Lake in dry season based on cloud model

The cloud model was used to evaluate the changes in groundwater quality of Dongping Lake in dry seasons before and after the implementation of the South-to-North Water Diversion Eastern Route Project. Six indices, including total hardness, SO^2-₄, Cl^-, NO^-₃, NH⁺₄, and F^-, were selected as the evaluation factors. Measured data were put into the cloud model to obtain the degree of determination for each index. Furthermore, the integrated degree of determination for each sampling site was calculated based on the weight of each index. Finally, the largest integrated degree of determination was used to determine the water quality level of each sampling site. The results show that the groundwater quality of the seven sampling sites did not deteriorate after the implementation of the Eastern Route Project, and the water quality of the eastern part of the lake was worse than that of the western part of the lake.