第一作者：

Wen, Xin

英文第一作者：

Wen, Xin

联系作者：

Chen, Weiwei

英文联系作者：

Chen, Weiwei

发表年度：

2022

卷：

14

摘要：

 This study presents a GIS-based method integrating hourly transport pathways and wind-field grid reconstruction, straw open burning (SOB) source identification, and a two-stage spatiotemporal multi-box modeling approach to quantify the contribution of external sources of SOB to elevated urban PM2.5 concentrations during a specific pollution episode (PE) at a high temporal resolution of 1 h. Taking Jilin Province as an empirical study, the contribution of SOB in province-wide farmlands to urban haze episodes in Changchun during the SOB season of 2020-2021 was evaluated quantitatively using a combination of multi-source datasets. The results showed that Changchun experienced three severe PEs and one heavy PE during the study period, and the total PM2.5 contributions from SOB sources were 352 mu g m(-3), 872 mu g m(-3), and 1224 mu g m(-3) during the three severe PEs, respectively; these accounted for 7%, 27%, and 23% of the urban cumulative PM2.5 levels, which were more obvious than the contribution during the PE. The total PM2.5 contribution from SOB sources (4.9 mu g m(-3)) was only 0.31% of the urban cumulative PM2.5 level during the heavy PE. According to the analysis of the impact of individual factors, some policy suggestions are put forward for refined SOB management, including control spatial scope, burning time interval, as well as burning area limit under different urban and transport pathways' meteorological conditions and different transport distances.

刊物名称：

Remote Sensing

参与作者：

Wen, X. Chen, W. W. Zhang, P. Y. Chen, J. Song, G. Q.