| 基于主成分分析-多元线性回归的松花江水体中多环芳烃源解析 |
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| 引用本文： | 陈锋,孟凡生,王业耀,张铃松,杨琦.基于主成分分析-多元线性回归的松花江水体中多环芳烃源解析[J].中国环境监测,2016,32(4):49-53. |
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| 作者姓名： | 陈锋 孟凡生 王业耀 张铃松 杨琦 |
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| 作者单位： | 中国地质大学(北京)水资源与环境学院, 北京 100083;北华航天工业学院建筑工程系, 河北 廊坊 065000,中国环境科学研究院, 水污染控制技术研究中心, 北京 100012,中国地质大学(北京)水资源与环境学院, 北京 100083;中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境科学研究院, 水污染控制技术研究中心, 北京 100012,中国地质大学(北京)水资源与环境学院, 北京 100083 |
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| 基金项目： | 国家水体污染控制与治理科技重大专项（2014ZX07510-001，2014ZX07502-002） |
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| 摘 要： | 对松花江全流域14个监测断面的16种美国环保局优先控制的多环芳烃(PAHs)的主要来源及其贡献率应用主成分因子分析-多元线性回归模型(PCA-MLR)进行了来源解析。结果表明:松花江全流域为化石和石油燃料的复合PAHs污染,水体环境中PAHs首要污染源为化石燃料燃烧和交通污染,合计贡献率为63.1%,第二大污染源为工业和民用燃煤污染,合计贡献率为36.9%,沿江的石化、石油基地、大型焦化厂、电厂都是PAHs的主要来源。
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| 关 键 词： | 松花江 水体 多环芳烃 源解析 主成分分析 多元线性回归 |
| 收稿时间： | 2015/9/7 0:00:00 |
| 修稿时间： | 2015/11/6 0:00:00 |
The Research of Polycyclic Aromatic Hydrocarbons in the River Based on the Principal Component-Multivariate Linear Regression Analysis |
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| CHEN Feng,MENG Fansheng,WANG Yeyao,ZHANG Lingsong and YANG Qi.The Research of Polycyclic Aromatic Hydrocarbons in the River Based on the Principal Component-Multivariate Linear Regression Analysis[J].Environmental Monitoring in China,2016,32(4):49-53. |
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| Authors: | CHEN Feng MENG Fansheng WANG Yeyao ZHANG Lingsong and YANG Qi |
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| Institution: | School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Department of Architectural Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China,Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, China,School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;China National Environmental Monitoring Centre, State Enviromental Protection Key Laboratory of Quality Control in Environmental Monitoring, Beijing 100012, China,Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, China and School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China |
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| Abstract: | Pricipal Principal Component-Multivariate Linear Regression Analysis (PCA-MLR) was applied to analyze the distribution and sources of polycyclic aromatic hydrocarbons(PAHs) in the surface water from songhua river.Fourteen samples of the Level period were collected from songhua river. Diagnostic ratio analysis illustrated that the songhua river basin as fossil fuel and oil compound pollution of PAHs. The primary sources of PAHs in water songhua river is the burning of fossil fuels and traffic pollution, and both total contribution rate is 63.1%.The second major pollution sources is the industrial and civil coal pollution, and the contribution rate is 36.9%.Petrochemical, oil base along the river, large coking plant, power plants are the main source of PAHs. |
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| Keywords: | Songhua river water body Polycyclic Aromatic Hydrocarbon(PAHs) source apportionment Principal Component Analysis Multiple Linear Regression(PCA-MLR) |
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