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Comparison and Uncertainty Analysis on Source Identification Methods

机译:源识别方法的比较与不确定性分析

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Factor analysis/multivariate linear regression ((FA/MLR) and source profile/multivariate linear regression (SP/MLR) were used to investigate the sources of PAHs adsorbed on PM_(2.5) from Nanjing city. A total of 32 sets of data including the concentrations of 28 kinds of PAHs were utilized. The results from these two methods were compared. Uncertainty analysis was conducted on FA/MLR method using Monte Carlo method.' The results showed that among the three and four pollution sources determined using FA/MLR and SP/MLR method respectively, only one pollution source was the same and the rest were all different. The uncertainty of FA/MLR method mainly came from the number of data used and the selection of tracer for each source. The number of pollution sources extracted was also different for the different number of data sets. In each calculation, the compounds with the largest contribution to factors extracted were not always the same. This research showed that large numbers of simulation were recommended to improve the reliability of the source identification results.
机译:因子分析/多变量线性回归((FA / MLR)和源简谱/多变量线性回归(SP / MLR)用于研究来自南京市PM_(2.5)的PAHS的来源。共有32套数据包括利用了28种PAH的浓度。比较了这两种方法的结果。使用蒙特卡罗方法对FA / MLR方法进行了不确定性分析。“结果表明,使用FA / MLR确定的三个和四个污染源中和SP / MLR方法分别是一个污染源相同,其余部分都不同。FA / MLR方法的不确定性主要来自所使用的数据数量以及每个来源的示踪剂的选择。污染源的数量提取的不同数量的数据集也不同。在每个计算中,具有最大贡献对提取的因素的化合物并不总是相同的。这项研究表明大量的模拟建议提高源识别结果的可靠性。

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