基于SOM和PCA分析的青田县地表水质综合评价研究

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文章编号：1674-6139（2026）02-0161-06

中图分类号：X820.2文献标志码：B

Comprehensive Assessment of Surface Water Quality in Qingtian County Based on SOM and PCA Analysis

ZhangGaoxiang，HuangXianhua，Wu Yuanyuan，JiKangle，Lin Yiying

（1.School of Ecology，Lishui University，Lishui 3230O0，China；

2.Qingtian County Environmental Monitoring Station，Lishui 323ooo，China;

3.Zhejiang EnvironmentalProtectionGroupLishuiEcologicalEnvironmentTechnolgyCo.，Ltd.，Lishui323o，China）

Abstract：Self-organizingmapneuralnetwork（SOM）andprincipalcomponentanalysis（PCA）wereusedtoconductedacomprehensiveassessmetofsufacewaterualityinQingtianCountyinO23.TheresultsindicatethatmostmonitoringsectionsetClassIw terqualitystadards；oweerctioschsWubu，sindimesanertedbyutritsalts，oaniclc polutants，nditrogencontaminationSOManalyssrevealedsignificantspatialheterogeneityisufacewaterqualityndidetifd strongcoelatioseenturbiityndmmoarognoductivityndtotalroenswellasatertmperaturendg nateindex.PCAresultsshowedthatPC1（nutrientsaltsandinorganicsaltsfactor）wastheprimarypolltionfactor，whilePC2（ganic polutionandthermalfctor）andPC3（chemicalstabilityfactor）hadsignificantimpactsonsomesections.Toimprovewaterquality， measuressuchasancingastewatertreatment，promotingnvironmentallfriendlygiculturalpractices，andstrengthenngdami monitoring of key sections are recommended.

Keywords：SOM；PCA；comprehensive pollution index method；surface water；Qingtian

前言

随着城市化和工业化加快，水资源污染日益严重，水质改善迫在眉睫[1-2]。（剩余5092字）