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
Applications of Positive Matrix Factorization(PMF) for Source Apportionment of PAHs in the Environment
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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。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.
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Key words:
- polycyclic aromatic hydrocarbons /
- positive matrix factorization /
- source apportionment /
- sediment /
- soil /
- atmosphere /
- water
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