基于熵权-云模型理论的河网水环境质量评价  

Evaluation of Water Environment Quality in River Networks Based on Entropy Weight Cloud Model Theory

作　　者：徐存东 沈家兴 李嘉明 田俊姣 胡小萌 XU Cun-dong;SHEN Jia-xing;LI Jia-ming;TIAN Jun-jiao;HU Xiao-meng(School of Water Conservancy,North China University of Water Resources and Hydropower,Zhengzhou 450046,China;Key Laboratory of Rural Water Resources and Hydropower Resource Allocation and Regulation in Zhejiang Province,Hangzhou 310018,China)

机构地区：[1]华北水利水电大学水利学院,河南郑州450046 [2]浙江省农村水利水电资源配置与调控关键技术重点实验室,浙江杭州310018

出　　处：《水电能源科学》2024年第12期64-67,110,共5页Water Resources and Power

基　　金：浙江省基础公益研究计划项目(LZJWD22E090001);浙江省重点研发计划项目(2021C03019)。

摘　　要：针对目前河网水环境质量评价方法的不足,以浙江省嘉善县姚庄河网为例,选取DO、NH_(3)-N、TN、TP、COD五个指标作为评价指标,将姚庄河网划分为4个圩区,对18个水质监测断面进行现场采样和检测试验,将云模型理论融入熵权法中得到评价方法,对各水质监测断面进行水环境质量评价。结果表明,DO、NH_(3)-N所占权重分别为0.344、0.201,DO、NH_(3)-N是影响姚庄河网水环境质量评价结果的主要因素;姚庄圩区内部半数测点为Ⅳ类水,水环境质量急需改善。研究成果可为南方平原河网水环境质量的评定提供参考。Aiming at the deficiency of current evaluation methods of water environment quality in river network,tak-ing the Yaozhuang River network in Jiashan County,Zhejiang Province as an example.this study chose DO,NH_(3)-N,TN,TP,and COD as evaluation indicators.The Yaozhuang River network was divided into four polder areas,and 18 water quality monitoring sections were selected for on-site sampling and testing.The cloud model theory was integrated into entropy weight method to evaluate the water environment quality of different monitoring sections.The results show that the DO and NH_(3)-N have weights of 0.344 and 0.201,respectively,indicating that they are the primary factors influ-encing the water environment quality assessment of the Yaozhuang River network;The half of the measurement points within Yaozhuang Weiqu are categorized as ClassⅣwater,underscoring the urgent need for improvement of the water environment quality.This research can provide reference for water environment quality assessment of the southern plain river network.

关 键 词：熵权 云模型 平原河网 水环境质量评价 

分 类 号：X522[环境科学与工程—环境工程]