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作 者:艾亚迪 魏传江[1] 李丽琴[1] 艾孝玲 徐冬梅[3] AI Ya-di;WEI Chuan-jiang;LI Li-qin;AI Xiao-ling;XU Dong-mei(China Institute of Water Resources and Hydropower Research,Bejing 100038,China;The South-to-North Water Diversion Project Office of Luohe City,Luohe 462300,Henan Province,China;North China University of Water Resources and Electric Power,Zhengzhou 450011,China)
机构地区:[1]中国水利水电科学研究院,北京100038 [2]漯河市南水北调办公室,河南漯河462300 [3]华北水利水电大学,郑州450011
出 处:《节水灌溉》2018年第11期77-80,共4页Water Saving Irrigation
基 金:"十三五"国家重点研发计划课题项目"西北内陆区水资源多维协同配置与安全保障体系"(2017YFC0404306)
摘 要:通过简要介绍单因子指数法、F值法、模糊综合评价法和灰色聚类法的基本原理,并以2013年河南省偃师市13个采样点的地下水质实测数据为例,对4种地下水质评价方法进行对比分析。结果显示:单因子指数法评价较为片面,但能确定主要污染物; F值法的缺点是将各个评价因子同等看待,同时也忽略了水质环境的模糊性;模糊综合评价法和灰色聚类法都是通过建立函数的方法反映水质边界的模糊性,但是模糊综合评价法忽略同一个评价因子不同水质类别其权重不同,因此灰色聚类法评价结果较为准确。通过4种方法的对比分析可以较为真实地反映地下水质,为改善地下水质状况提供一定的理论支持。By introducing the basic principles of single factor index method,F value method,fuzzy comprehensive evaluation method and grey clustering method,and taking groundwater quality measurement data of 13 sampling sites in Yanshi City in 2013 as an example,the four water quality evaluation methods are compared. The results show that single factor method is more one-sided,but identifies major pollutants;the disadvantage of F value method is treating all evaluation factors equally and ignoring the ambiguity of water quality environment; fuzzy comprehensive evaluation method and grey clustering method are fuzzy in reflecting the water quality boundary through the method of establishing the function,but fuzzy comprehensive evaluation method ignores that the weight of different water quality categories in the same evaluation factor is different. So grey clustering method has relatively accurate results. The comparative analysis of the four methods can more accurately reflect the groundwater quality and provide some theoretical support for improving groundwater quality.
关 键 词:地下水质评价 单因子指数法 F值法 模糊综合评价法 灰色聚类法
分 类 号:S27[农业科学—农业水土工程] X824[农业科学—农业工程]
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