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%.