摘要
采用聚类分析法、主成分分析法和绝对主成分-多元线性回归(APCS-MLR)源解析模型对北京市北运河水系污染特征及来源进行解析。结果表明,北运河水系监测点位可聚为两类,A类点位主要分布在中心城区及水系上游,水环境质量状况较好;B类点位水质相对较差,多分布在水系中下游和郊区。源解析结果显示,补水水源对A类点位高锰酸盐指数、化学需氧量(COD)、氨氮和总磷(TP)的贡献率分别为65.0%、66.6%、58.1%和57.1%;生活源对B类点位高锰酸盐指数、COD、氨氮和TP的贡献率分别为74.7%、55.3%、58.1%和62.1%,农业面源对氨氮和TP的贡献率也较高。为持续改善北运河水系水环境质量状况,需重点关注水系上游的补水水源和城市面源,加强中下游生活源和农业面源的有效防治。
In order to analyze the pollution characteristic and source apportionment of the North Canal River basin,cluster analysis,principal component analysis and APCS-MLR model were used.Results indicated that all monitoring spots in the North Canal River basin could be classified into two clusters.Monitoring spots in cluster A which had good water quality,were mainly located in central city zone and the upstream of the North Canal River basin.While,monitoring spots in cluster B had relatively poor water quality.These spots were mainly located in the downstream of the North Canal River basin and rural area.According to the result of APCS-MLR model,the contribution of water supply source on permanganate index,COD,ammonia nitrogen and TP of cluster A were 65.0%,66.6%,58.1%and 57.1%,respectively.The contribution of domestic source pollution on permanganate index,COD,ammonia nitrogen and TP of cluster B were 74.7%,55.3%,58.1%and 62.1%.Also,agricultural non-point source pollution had high contribution rate on ammonia nitrogen and TP.Therefore,for sake of continuous water quality improvement of the North Canal River basin,attentions should be paid on water supply source and urban non-point source pollution of upstream of the North Canal River basin,and domestic source pollution and agricultural non-point source pollution of downstream.
作者
田颖
陶蕾
刘保献
陈吉吉
荆红卫
常淼
马召辉
TIAN Ying;TAO Lei;LIU Baoxian;CHEN Jiji;JING Hongwei;CHANG Miao;MA Zhaohui(Beijing Municipal Ecological and Environmental Monitoring Center,Beijing 100048;State Environmental Protection Key Laboratory of All Materials Flux in Rivers,Beijing 100871)
出处
《环境污染与防治》
CAS
CSCD
北大核心
2024年第11期1656-1661,共6页
Environmental Pollution & Control
基金
国家重点研发计划项目(No.2021YFC1809000)。
