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作 者:卢飞 辜小花 陈双扣 刘晓[2] LU Fei;GU Xiaohua;CHEN Shuangkou;LIU Xiao(College of Electrical Engineering Chemical Engineering Institute,Chongqing University of Science and Technology,Chongqing 401331,China;Chongqing Environmental Protection Information Center,Chongqing 401147,China)
机构地区:[1]重庆科技学院电气工程学院化学化工学院,重庆401331 [2]重庆市环境保护信息中心,重庆401147
出 处:《重庆科技学院学报(自然科学版)》2021年第6期101-106,共6页Journal of Chongqing University of Science and Technology:Natural Sciences Edition
基 金:重庆市技术创新与应用示范项目“流域水环境智慧管理系统研发与应用”(CSTC2018JSCX-MSZDX0139)。
摘 要:采用水污染指数法(WPI)对璧南河流域水质污染状况进行评价。通过因子分析(FA)和层次聚类定性分析的方法确定该流域水质的主要污染源,应用因子得分-多元线性回归分析(FA-MLR)模型定量计算各项监测因子的污染贡献率。分析结果显示:璧南河流域的水质等级长期达到Ⅳ类,其主要污染指标包括TP、COD_(Cr)、COD_(Mn)、BOD_(5)和石油类物质。其中:两河口断面第一因子对NH_(3)N、COD_(Mn)、COD_(Cr)、BOD_(5)和TP的贡献率分别为11.78%、11.17%、16.07%、35.71%和15.46%;何家桥断面第一因子对NH_(3)N、氟化物、挥发酚、石油类物质和TP的贡献率分别为24.95%、10.71%、35.28%、31.99%和15.61%。经研究认为,城市面源和工业污染是璧南河流域的主要污染来源,FA-MLR模型的预测浓度与实际浓度基本一致。Water pollution index(WPI)method is used to evaluate the water pollution status of Binan river basin.The factor analysis(FA)and hierarchical clustering are used to analyze the main pollution sources of water pollution in this area.FA-MLR(factor analysis multiple linear regression analysis)is used to quantitatively calculate the contribution rate of each detection factor.The results show that the water quality of Binan River Basin has been in class IV for a long time,and the main pollution indexes are TP,COD_(Cr),COD_(Mn),BOD_(5)and petroleum.The contribution rates of the first factor in Lianghekou area to NH_(3)N,COD_(Mn),COD_(Cr),BOD_(5)and TP are 11.78%,11.17%,16.07%,35.71%and 15.46%respectively.The contribution rates of the first factor of Hejiaqiao to NH_(3)N,fluoride,volatile phenol,petroleum and TP are 24.95%,10.71%,35.28%,31.99%and 15.61%respectively.The results show that urban non-point source and industrial pollution are the main pollution sources in the basin,and the predicted concentration of FA-MLR model is consistent with the actual concentration.
分 类 号:X522[环境科学与工程—环境工程]
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