Unmix模型污染源解析研究进展及应用前景

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）、正定矩阵因子分析法（PMF）等源解析模型的解析结果存在差异，这主要源于不确定性参数的取值方法不同，其次是对原始数据的不确定性反应有异。总体来看Unmix模型在土壤重金属、PAHs及大气颗粒物等方面已经有了较为广泛的应用，而对于其他类型污染物的源解析还需进一步探讨。

Review on the Pollution Source Apportionment by Unmix Model and Application Prospect

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.