<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yuan Chen</style></author><author><style face="normal" font="default" size="100%">Shaodong Xie</style></author><author><style face="normal" font="default" size="100%">Bin Luo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Seasonal variations of transport pathways and potential sources of PM 2.5 in Chengdu, China (2012–2013)</style></title><secondary-title><style face="normal" font="default" size="100%">Frontiers of Environmental Science &amp; Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/article/10.1007%2Fs11783-018-1009-z</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">1</style></number><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">12</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span&gt;Seasonal pattern of transport pathways and potential sources of PM&lt;/span&gt;&lt;span&gt;2.5&lt;/span&gt;&lt;span&gt;&amp;nbsp;in Chengdu during 2012–2013 were investigated based on hourly PM&lt;/span&gt;&lt;span&gt;2.5&lt;/span&gt;&lt;span&gt;&amp;nbsp;data, backward trajectories, clustering analysis, potential source contribution function (PSCF), and concentration-weighted trajectory (CWT) method. The annual hourly mean PM&lt;/span&gt;&lt;span&gt;2.5&lt;/span&gt;&lt;span&gt;&amp;nbsp;concentration in Chengdu was 97.4 mg·m&lt;/span&gt;&lt;span&gt;–3&lt;/span&gt;&lt;span&gt;. 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 PM&lt;/span&gt;&lt;span&gt;2.5&lt;/span&gt;&lt;span&gt;&amp;nbsp;loadings (&amp;gt;80 mg·m&lt;/span&gt;&lt;span&gt;–3&lt;/span&gt;&lt;span&gt;) appeared as important pathways in all seasons. These short pathways indicated that emissions from both local and surrounding regions of Chengdu contributed significantly to PM&lt;/span&gt;&lt;span&gt;2.5&lt;/span&gt;&lt;span&gt;&amp;nbsp;pollution. The cities in southern Chengdu were major potential sources with PSCF&amp;gt;0.6 and CWT&amp;gt;90 mg·m&lt;/span&gt;&lt;span&gt;–3&lt;/span&gt;&lt;span&gt;. 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·m&lt;/span&gt;&lt;span&gt;–3&lt;/span&gt;&lt;span&gt;. 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 PM&lt;/span&gt;&lt;span&gt;2.5&lt;/span&gt;&lt;span&gt;&amp;nbsp;pollution in Chengdu as well, and their CWT values increased to above 30 mg·m&lt;/span&gt;&lt;span&gt;–3&lt;/span&gt;&lt;span&gt;&amp;nbsp;in winter.&lt;/span&gt;&lt;/p&gt;</style></abstract></record></records></xml>