@article {chen2018seasonal,
	title = {Seasonal variations of transport pathways and potential sources of PM 2.5 in Chengdu, China (2012{\textendash}2013)},
	journal = {Frontiers of Environmental Science \& Engineering},
	volume = {12},
	number = {1},
	year = {2018},
	pages = {12},
	publisher = {Springer},
	abstract = {Seasonal pattern of transport pathways and potential sources of PM2.5\&nbsp;in Chengdu during 2012{\textendash}2013 were investigated based on hourly PM2.5\&nbsp;data, backward trajectories, clustering analysis, potential source contribution function (PSCF), and concentration-weighted trajectory (CWT) method. The annual hourly mean PM2.5\&nbsp;concentration in Chengdu was 97.4 mg{\textperiodcentered}m{\textendash}3. 5, 5, 5 and 3 mean clusters were generated in four seasons, respectively. Short-distance air masses, which travelled within the Sichuan Basin with no specific source direction and relatively high PM2.5\&nbsp;loadings (\&gt;80 mg{\textperiodcentered}m{\textendash}3) appeared as important pathways in all seasons. These short pathways indicated that emissions from both local and surrounding regions of Chengdu contributed significantly to PM2.5\&nbsp;pollution. The cities in southern Chengdu were major potential sources with PSCF\&gt;0.6 and CWT\&gt;90 mg{\textperiodcentered}m{\textendash}3. The northeastern pathway prevailed throughout the year with higher frequency in autumn and winter and lower frequency in spring and summer. In spring, long-range transport from southern Xinjiang was a representative dust invasion path to Chengdu, and the CWT values along the path were 30-60 mg{\textperiodcentered}m{\textendash}3. Long-range transport was also observed in autumn from southeastern Xinjiang along a northwesterly pathway, and in winter from the Tibetan Plateau along a westerly pathway. In summer, the potential source regions of Chengdu were smaller than those in other seasons, and no long-range transport pathway was observed. Results of PSCF and CWT indicated that regions in Qinghai and Tibet contributed to PM2.5\&nbsp;pollution in Chengdu as well, and their CWT values increased to above 30 mg{\textperiodcentered}m{\textendash}3\&nbsp;in winter.},
	url = {https://link.springer.com/article/10.1007\%2Fs11783-018-1009-z},
	author = {Yuan Chen and Shaodong Xie and Bin Luo}
}
