Faculty of Geography, Yunnan Normal University, Yunnan, 650500, China; GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Yunnan, 650500, China.
GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Yunnan, 650500, China; School of Information Science and Technology, Yunnan Normal University, Yunnan, 650500, China.
Environ Pollut. 2022 Feb 1;294:118633. doi: 10.1016/j.envpol.2021.118633. Epub 2021 Dec 7.
In January 2020, China implemented strict lockdown measures due to the invasion of the new coronavirus, which led to a sharp decline in the contribution of anthropogenic fine particulate matter (PM). The special period of COVID-19, especially in Hubei where the epidemic was the most severe, provides excellent research conditions for studying the contribution of anthropogenic activities to PM concentrations. We used an optimized deep learning model to predict PM concentration during the epidemic period in the cities of Hubei Province. The contributions of local anthropogenic activities to PM pollution were obtained by contrasting the predicted results with actual site observations. However, a strange phenomenon was revealed that Yichang, a city with low local anthropogenic contribution to PM, was found to have severe haze in winter conflicting with our previous expectations. After further research, we found that an increased conversion of secondary aerosols caused by long-distance transport of pollutant gases from the northern region is the main cause of winter haze pollution in this city. This finding highlights the importance of joint regional prevention and control of air pollution.
2020 年 1 月,中国因新型冠状病毒的入侵而实施了严格的封锁措施,这导致人为细颗粒物(PM)的贡献急剧下降。COVID-19 的特殊时期,特别是在疫情最严重的湖北省,为研究人为活动对 PM 浓度的贡献提供了极好的研究条件。我们使用优化后的深度学习模型来预测湖北省城市在疫情期间的 PM 浓度。通过将预测结果与实际站点观测进行对比,得出了本地人为活动对 PM 污染的贡献。然而,出现了一个奇怪的现象,即宜昌市作为一个人为活动对 PM 贡献较低的城市,在冬季却出现了严重的雾霾,这与我们之前的预期相矛盾。经过进一步研究,我们发现,北部地区污染物气体的远距离传输导致二次气溶胶的转化率增加,是造成该市冬季雾霾污染的主要原因。这一发现强调了联合区域空气污染防控的重要性。