登沙河流域水质监测断面优化研究  

Optimization of Water Quality Monitoring Sections in Dengsha River Watershed

作　　者：王雪峰 辛卓航 刘启宁 刘向培[2] 冷祥阳 张弛 WANG Xue-feng;XIN Zhuo-hang;LIU Qi-ning;LIU Xiang-pei;LENG Xiang-yang;ZHANG Chi(Department of Construction Engineering,Dalian University of Technology,Dalian,Liaoning 116023,China;Chinese People s Liberation Army 31440,Shenyang,Liaoning 110027,China;Civil and Architectural Design and Research Institute Co.LTD,Dalian University of Technology,Dalian,Liaoning 116023,China)

机构地区：[1]大连理工大学建设工程学部,辽宁大连116023 [2]中国人民解放军31440部队,辽宁沈阳110027 [3]大连理工大学土木建筑设计研究院有限公司,辽宁大连116023

出　　处：《环境监测管理与技术》2021年第1期18-22,共5页The Administration and Technique of Environmental Monitoring

基　　金：国家自然科学基金资助项目(51809031);国家重点研发计划基金资助项目(2019YFC1407701)。

摘　　要：基于大连市登沙河监测断面的水质数据,采用系统聚类法、模糊聚类法和物元分析法进行优化,筛选代表性断面。结果表明,优化后的监测断面个数减少了40%,相关性较高的相邻断面个数由优化前的71%减少为54%,优化前、后的样本方差齐且均值无显著性差异。优化后的监测断面在显著提高效率的同时也确保了数据的代表性,使得断面重复布设情况得到明显改善。Based on the water quality data from the monitoring sections in Dengsha River in Dalian,the approaches of systematic clustering,fuzzy clustering and matter-element analysis were applied to optimize the monitoring sections.Results showed that the number of monitoring sections decreased by 40%after optimization,and the number of highly correlated adjacent sections decreased from 71%to 54%by optimization.Before and after optimization,the sample variances were homogeneous and the mean values had no significant difference.Therefore,the optimized monitoring network could obviously raise the monitoring efficiency,eliminate the reduplicative sections,and ensure the representativeness of the data.

关 键 词：水质监测 断面优化 系统聚类法 模糊聚类法 物元分析法 登沙河流域 

分 类 号：X522[环境科学与工程—环境工程] X830