Unmix模型污染源解析研究进展及应用前景 |
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引用本文: | 蔡昂祖,张海霞,王小剑,武晓琪. Unmix模型污染源解析研究进展及应用前景[J]. 土壤通报, 2021, 52(3): 747-756. DOI: 10.19336/j.cnki.trtb.2020081401 |
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作者姓名: | 蔡昂祖 张海霞 王小剑 武晓琪 |
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作者单位: | 1.河北工程大学能源与环境工程学院,河北 邯郸 056038 |
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基金项目: | 河北省重点研发计划项目(17273712D)资助 |
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摘 要: | 基于国内外近十年的期刊文献,归纳总结了Unmix模型在污染源解析研究中的应用情况,对比分析了在不同介质和研究对象上的差异,对该模型的应用前景进行了展望.现阶段Unmix模型在国外主要用于大气颗粒物的源解析,而国内则多应用于多环芳烃(PAHs)和土壤重金属的源解析.Unmix模型与主成分分析法(PCA)、正定矩阵因子分析...
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关 键 词: | 源解析 受体模型 Unmix PCA PMF |
收稿时间: | 2020-08-14 |
Review on the Pollution Source Apportionment by Unmix Model and Application Prospect |
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Affiliation: | 1.College of Energy and Environment Engineering, Hebei University of Engineering, Handan 056038, China2.Hebei Key Laboratory of Air Pollution Cause and Impact, Handan Hebei 056038, China |
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Abstract: | Based on the domestic and foreign literatures in the recent ten years, this paper summarized the applications of Unmix model in source apportionment research, comparing the difference of research medias and research objects using this model, and prospecting the application of Unmix model in further. The Unmix model is mainly used for source apportionment of atmospheric particulates abroad, while it is used in source apportionment of polycyclic aromatic hydrocarbons (PAHs) and soil heavy metals in China. The apportionment results by Unmix model was different from other commonly used source apportionment models, such as principal component analysis (PCA) and positive matrix factorization (PMF), that was mainly caused by the different values of uncertainty parameters. Moreover, uncertainties in original data would also affect the results of source apportionment. In general, the Unmix model had a wide range of applicability in the source apportionment of soil heavy metals, PAHs and atmospheric particulates. Nevertheless, the application of the source apportionment to other types of pollutants requires further development. |
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