水资源保护2016，Vol.32Issue(5)：74-78,5.DOI:10.3880/j.issn.1004-6933.2016.05.015
基于云模型的东平湖枯水期地下水水质评价
Evaluation of groundwater quality of Dongping Lake in dry season based on cloud model
摘要
Abstract
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, SO2-4 , 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.关键词
水质评价/南水北调东线工程/东平湖/枯水期/地下水/云模型Key words
water quality evaluation/South-to-North Water Diversion Eastern Route Project/Dongping Lake/dry season/groundwater/cloud model分类
资源环境引用本文复制引用
胡尊芳,孙建峰,宋印胜,王仕昌,韩玉珍..基于云模型的东平湖枯水期地下水水质评价[J].水资源保护,2016,32(5):74-78,5.基金项目
山东省物化探勘查院科研基金(2015) （2015）
山东省地质勘查项目(鲁勘字(2011)121) （鲁勘字(2011）
山东省地矿局地质科技攻关项目(KY201516) （KY201516）
