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Refined source apportionment of coal-combustion source based on CALPUFF-CMB models |
WANG Lu, BI Xiao-hui, LIU Bao-shuang, GAO Ji-xin, LI Ting-kun, ZHANG Yu-fen, TIAN Ying-ze, FENG Yin-chang |
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 |
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Abstract In order to accurately reflect the influence of coal combustion emissions on atmospheric environment, the CALPUFF model was used to simulate the emission and transportation processes of PM10 emitted from different coal-combustion sources and to obtain the influencing weight-coefficient of every fine-sorted coal combustion source to ambient PM10 Then, the weight-coefficients were applied to construct a more representative coal combustion source profile. Finally, source apportionment of PM10 during the heating season in Urumqi was conducted by chemical mass balance (CMB) model by combining the chemical compositions in ambient PM10 and two sets of PM10 source profiles (i.e., source profiles which were constructed by traditional method and by environmental implication considered method). The results indicated that:the weight-coefficients of coal-fired power plant, industrials and domestic heating were 0.02, 0.59 and 0.39, respectively. The results of source apportionment based on traditional source profiles were as follows:coal combustion dust (27.2%), fugitive dust (19.1%), secondary sulfate (15.7%), residential coal combustion (9.9%), secondary nitrate (9.5%), vehicle exhaust dust (7.6%), steel dust (1.2%) and cement dust (0.2%). While based on environmental implication considered source profiles, that results ranked in secondary sulfate (20.1%), fugitive dust (20%), coal combustion dust (18.9%), residential coal combustion (11.5%), secondary nitrate (10.5%), vehicle exhaust dust (9%), steel dust (1.7%) and cement dust (1.4%). In terms of influencing weight-coefficients of fined-sorted coal combustion sources to ambient PM10, the result of source apportionment of coal-combustion sources was further fractionized, and the result suggested that the contribution of residential coal combustion was up to 11.5%, the contribution of coal-fired power plant was up to 0.4%, the contribution of industrial heating was up to 7.4% and the contribution of industrials was up to 11.1%.
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Received: 06 January 2018
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