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基于主成分分析与层次聚类分析的水质综合评价 被引量:3

Comprehensive Evaluation of Water Quality Based on Principal Component Analysis and Hierarchical Cluster Analysis
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摘要 为明确多指标评价体系下泸沽湖水质综合现状,达到分区重点治理的目的。调查共采集泸沽湖28个点位水样。采用主成分分析法和层次聚类分析法对8个水质参数进行分析,并将6种基于类间距的层次聚类结果与综合营养状态指数法评价结果进行比较。结果表明:亮海大部分区域为Ⅱ类水质,而草海沿线水质逐步恶化至V类。采用欧式距离下最长距离法可获得与实际相符的最优聚类结果,该结果表明各点位水质依据不同污染程度可依次聚为5类。分区治理应重点关注类5和类4所代表的中度和轻度富营养化水域。本实验采用的分析方法可直观反映出各点位污染程度与相互关系,对多指标参与计算情况下的水质综合评价有很好的参考价值。 In order to clarify the comprehensive status of water quality in lake Lugu under multi-index evaluation system,and achieve the purpose of zoning management.A total of 28 samples were collected from Lugu Lake.Principal component analysis(PCA)and hierarchical cluster analysis(HCA)were adopted to analyze 8 water quality parameters.The results of 6 hierarchical clustering methods based on class spacing were compared with the evaluation results of comprehensive nutrient state index method.The results showed that the water quality in most areas of bright sea is class II,while the water quality along grass sea gradually deteriorates to class V.Practical results could be obtained by using the longest distance clustering method under Euclidean distance,which indicated that the water quality at each sampling site can be divided into 5 classes according to different levels of pollution.Zoning management should focus on moderate and mild eutrophication waters represented by class 5 and class 4.The analysis method used in this experiment can intuitively reflect the pollution degree and mutual relationship between each sampling site,which has a good reference value for comprehensive water quality evaluation in the case of multi-index calculation.
作者 邢涛 雍毅 侯江 吴怡 吴迪 刘恒博 XING Tao;YONG Yi;HOU Jiang;WU Yi;WU Di;LIU Heng-bo(Sichuan Academy of Ecological&Environmental Sciences,Chengdu 610041,China;State Environmental Protection Key Laboratory of Synergetic Control&Joint Remediation far Soil&Water Pollution,College qf Ecology&Environment,Chengdu University of Technology,Chengdu 610059,China)
出处 《四川环境》 2022年第4期131-139,共9页 Sichuan Environment
基金 四川省科技计划项目(重点研发项目)(2019YFS0060) 四川省科技计划项目(重点研发项目)(2020YFS0440)。
关键词 主成分分析 层次聚类分析 泸沽湖 水质评价 Principal component analysis hierarchical cluster analysis lake Lugu water quality evaluation
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