首页|基于主成分分析法对乐山市2022年度水环境评价研究

基于主成分分析法对乐山市2022年度水环境评价研究

扫码查看
为了解2022年度乐山市水环境状况,利用主成分分析法(Principal Component Analysis,PCA)对乐山市辖区内13个国、省控水质自动监测站2022年度监测数据进行分析,并计算出各个站点主成分综合得分。结果表明:茫溪大桥得分最高,水质最差,水质类别为Ⅳ类,其余站点水质类别均未超过Ⅲ类。建议应进一步加强对茫溪河的污染管控和治理,特别是加强涉磷污染物的排放管理。
Study on Assessment of Water Environment in Leshan in 2022 Based on Principal Component Analysis
In order to evaluate the water environment in Leshan City in 2022,the Principal Component Analysis(PC A)method was adopted to analyze the monitoring data from 13 automatic water quality monitoring stations at national and provincial levels within the urban area.The study yielded the Comprehensive Component Scores(CCS)for each station.The result showed that Mangxi Bridge,with the highest CCS,had the poorest water quality classified as Level Ⅳ,while the water quality of other stations remained within Level Ⅲ.We recommend that pollution management and control efforts should be strengthened,in particular the management of discharge of phosphorus pollutants in the Mangxi River.

Principle Component Analysis(PC A)water quality evaluationautomatic monitoring stationMangxi River

王松、吴彤、彭琼

展开 >

四川省乐山生态环境监测中心站,四川乐山 614000

主成分分析 水质评价 自动监测站 茫溪河

2024

四川环境
四川省环境保护科学研究院 四川省环境科学学会

四川环境

CSTPCD
影响因子:0.444
ISSN:1001-3644
年,卷(期):2024.43(1)
  • 9