融合模糊聚类算法和EWT-KPCA方法的水污染监测模型构建研究

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文章编号：1674-6139（2025）08-0136-05

中图分类号：X832文献标志码：B

Construction of Water Pollution Monitoring Model Integrating Fuzzy Clustering Algorithmand EWT-KPCA Method

ZhengFengshou’，Ye Yanlei²，Tao Weixiang （1.Zhengyuan Geographic Information Group Co.，Ltd.，Beijing ，China; 2.Beijing Zhengyuan Mathematics Information Technology Co.，Ltd.，Beijing 10130o，China）

Abstract：Minewastewaterpllutionseriouslyfectsthelocalecologyadresidents’live.Toadresstis，esearchhasoposeda waterpolutionmonitoringodelthatintegatesfuzzyclusteringagoritsandempiicalwavelettransform.Experimentaldatashows thatmonelials，lel.ialyf，d modelfalselyeeed，，ndoalalsspecielyexpetalataicatetatetefsd water quality anomaly detection model is approximately 0.8% ，which is relatively low and suitable for detecting water quality anomalies. Theproposedmonitoringodelprovidespowerfultechnicalsupprtforal-timemonitoringofinewaterpolution，elpig topromptly identifyandaddresspollution issues，thereby protecting theecological environmentand residents'health.

Key words：fuzzy clustering algorithm；EWT；KPCA；water pollution monitoring

前言

矿山开采作为推动经济发展的重要一环，其背后却隐藏着对地表水质的深刻影响。（剩余4369字）