Xu Xianmang, Zhang Wen, Yin Yanchao, Dong Yuezhen, Yang Deliang, Lv Jialiang, Yuan Wenpeng
Heze Branch, Qilu University of Technology (Shandong Academy of Sciences), Biological Engineering Technology Innovation Center of Shandong Province, Heze, 274000, China.
Department of Clinical Medicine, Heze Medical College, Heze, 274000, China.
Environ Technol Innov. 2021 Aug;23:101578. doi: 10.1016/j.eti.2021.101578. Epub 2021 Apr 20.
Due to the COVID-19 outbreak, Wuhan was locked down from 23 January 2020 to 8 April 2020, a total of 76 days. It is well known that the electricity consumption is a direct reflection of human activity. During the lockdown of Wuhan, most of human activities were forbidden. The reduction in human activity would inevitably lead to a reduction in electricity consumption. At the same time, anthropogenic emissions of air pollutants would also be reduced with the reduction of human activity. In this study, the correlation between electricity consumption and air pollutants during lockdown was discussed in detail. The result showed that the drop in pollutants concentrations in January should be attributed to the washout effect of rainfall rather than the lockdown. The decrease of electricity consumption in the secondary industry might play a significant role on the decrease of PM and NO concentrations in Wuhan in February 2020. The decrease in NO concentration in March should be attributed to the reduction of pollutants emissions from the tertiary industry, which means that more attention should be paid to the control of NO emission in the tertiary industry. Due to reduced emissions from local sources, the role of long-range transport sources might be more significant during the lockdown of Wuhan. By PSCF analysis, southeast of Wuhan could be the major potential emission sources of PM , especially in the northern part of Jiangxi province. It was suggested that stricter regulation of pollutants emissions should be implemented in this area.
由于新冠疫情爆发，武汉于2020年1月23日至2020年4月8日实施封城，共计76天。众所周知，用电量是人类活动的直接反映。在武汉封城期间，大部分人类活动被禁止。人类活动的减少必然导致用电量下降。同时，随着人类活动的减少，空气污染物的人为排放也会减少。在本研究中，详细讨论了封城期间用电量与空气污染物之间的相关性。结果表明，1月份污染物浓度的下降应归因于降雨的冲刷作用而非封城。2020年2月，第二产业用电量的下降可能对武汉PM和NO浓度的下降起到了重要作用。3月份NO浓度的下降应归因于第三产业污染物排放的减少，这意味着应更加关注第三产业的NO排放控制。由于本地源排放减少，在武汉封城期间，远距离传输源的作用可能更为显著。通过PSCF分析，武汉东南部可能是PM的主要潜在排放源，特别是在江西省北部。建议在该地区实施更严格的污染物排放监管。
