Potential Source Analysis for PM(subscript 10) and PM(subscript 2.5) in Autumn in a Northern City in China

Zong-Shuang Wang；Ting Wu；Guo-Liang Shi；Xiao Fu；Ying-Ze Tian；Yin-Chang Feng；Xue-Fang Wu；Gang Wu；Zhi-Peng Bai；Wen-Jie Zhang

Sources ； Potential source contribution function ； PM(subscript 10) ； PM(subscript 2.5)

Aerosol and Air Quality Research

12卷1期（2012 / 02 / 01）

39 - 48

英文

In this study, PM(subscript 10) and PM(subscript 2.5) samples were obtained in a northern city in China. The 12-h averaged concentrations of particulate matter and species were analyzed. A PCA-MLR model was applied to identify the potential source categories and to estimate the source contributions for the PM(subscript 10) and PM(subscript 2.5) datasets. Five factors were extracted for the PM(subscript 10) samples, and their percentage contributions were estimated as follows: crustal dust-39.87%; vehicle exhaust-30.16%; secondary sulfate and nitrate-14.42%; metal emission source-6.77%; and residual oil combustion source-1.82%. Four factors were resolved for the PM(subscript 2.5) dataset, and their contributions were obtained: crustal dust-35.81%; vehicle exhaust-22.67%; secondary sulfate and nitrate-32.35%; and metal emission and residual oil combustion sources-4.57%. In addition, a Potential Source Contribution Function (PSCF) was used to investigate the possible locations of the major sources. The PSCF results showed that for each source category, PM(subscript 10) and PM(subscript 2.5) had similar potential source areas.