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| Evaluating the performance of PMF model for Atmospheric PM source apportionment in multi-site |
| HUANGFU Yan-qi1, TIAN Ying-ze1, DONG Shi-hao1, DAI Qi-li1, SHI Guo-liang1, ZHOU Xiao-yu1, WEI Zhen2, QIAN Yong3, FENG Yin-chang1 |
1. State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China;
2. Anhui Provincial Environmental Monitoring Center Station, Hefei 230071, China;
3. Hefei Environmental Monitoring Center Station, Hefei 230031, China |
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Abstract With the improvement of spatial resolution for environmental monitoring, spatial information which normally displayed as multi-site datasets is available and could be used for atmospheric particular matter source apportionment. PMF was performed on the combined simulated multi-site datasets that including eight scenarios (three major types). Meanwhile, ambient data of PM2.5 in Hefei was used to evaluate the performance of PMF model for source apportionment of multi-sites data. When the time series of source contributions were fully consistent with each other, it turned out that the PMF results of combined multi-site datasets were not better than these of an individual site. And the combined multi-site datasets could yield a reliable PMF result with different time series of source contributions. What's more, when the time series of source contributions were partly consistent, the PMF results generally became better, but some specific sources may have high uncertainties for some specific sources.
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Received: 20 October 2017
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Corresponding Authors:
田瑛泽,讲师,tianyingze@hotmail.com
E-mail: tianyingze@hotmail.com
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