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正定矩阵因子分解模型在环境中多环芳烃源解析方面的应用
引用本文:孙海峰,张勇,解静芳.正定矩阵因子分解模型在环境中多环芳烃源解析方面的应用[J].生态毒理学报,2015,10(4):25-33.
作者姓名:孙海峰  张勇  解静芳
作者单位:1. 山西大学环境与资源学院,太原,030006;2. 厦门大学环境与生态学院近海海洋环境科学国家重点实验室,厦门361102;漳州职业技术学院,漳州363000
基金项目:国家自然科学基金 (No. 201507077, 21177102, 41121091);教育部博士点基金 (No. 20130121130005)
摘    要:<正>定矩阵因子分解模型(PMF)自1993年开发至今,其在环境中持久性有毒物质(PTS),尤其是多环芳烃(PAHs)源解析中的应用取得了重大研究进展。简要介绍了PMF模型的基本原理,在综述该模型用于土壤/沉积物、大气及水体中PAHs源解析现状的基础上,结合其在实际工作的应用,评述了其在环境中PAHs源解析方面的应用潜力及发展前景。

关 键 词:多环芳烃  正定矩阵因子分解  源解析  沉积物  土壤  大气  
收稿时间:2014/10/21 0:00:00
修稿时间:2014/12/10 0:00:00

Applications of Positive Matrix Factorization (PMF) for Source Apportionment of PAHs in the Environment
Sun Haifeng,Zhang Yong,and Xie Jingfang.Applications of Positive Matrix Factorization (PMF) for Source Apportionment of PAHs in the Environment[J].Asian Journal of Ecotoxicology,2015,10(4):25-33.
Authors:Sun Haifeng  Zhang Yong  and Xie Jingfang
Institution:1. College of Environment and Resource, Shanxi University, Taiyuan 030006, China 2. State Key Laboratory of Marine Environmental Science (Xiamen University), College of the Environment and Ecology, Xiamen University, Xiamen 361102, China 3. Zhangzhou Institute of Technology, Zhangzhou 363000, China;1. College of Environment and Resource, Shanxi University, Taiyuan 030006, China 2. State Key Laboratory of Marine Environmental Science (Xiamen University), College of the Environment and Ecology, Xiamen University, Xiamen 361102, China 3. Zhangzhou Institute of Technology, Zhangzhou 363000, China;1. College of Environment and Resource, Shanxi University, Taiyuan 030006, China 2. State Key Laboratory of Marine Environmental Science (Xiamen University), College of the Environment and Ecology, Xiamen University, Xiamen 361102, China 3. Zhangzhou Institute of Technology, Zhangzhou 363000, China
Abstract:Since its being developed in 1993, great progress has been made in the application of positive matrix factorization (PMF) in source apportionment of persistent toxic substances (PTS), especially in that of polycyclic aromatic hydrocarbons (PAHs). In this article, the basic principle of PMF was introduced first, and then its applications in source apportionment of PAHs distributed in soil/sediment, atmosphere and water were reviewed. In addition, the prospects of PMF in source apportionment of PAHs distributed in different environmental media were described based on our recent experimental results.
Keywords:polycyclic aromatic hydrocarbons  positive matrix factorization  source apportionment  sediment  soil  atmosphere  water
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