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您的检索式：作者名="Heming Bai"
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| 1 | Assessment of health benefit of PM_(2.5) reduction during COVID-19 lockdown in China and separating contributions from anthropogenic emissions and meteorology显示文摘The national lockdown policies have drastically disrupted socioeconomic activities during the COVID-19 pandemic in China,which provides a unique opportunity to investigate the air quality response to such anthropogenic disruptions.And it is meaningful to evaluate the potential health impacts of air quality changes during the lockdown,especially for PM_(2.5) with adverse health effects.In this study,by using PM_(2.5) observations from 1388 monitor-ing stations nationwide in China,we examine the PM_(2.5) variations between the COVID-19 lockdown(February and March in 2020)and the same period in 2015-2019,and find that the national average of PM_(2.5) decreases by 18 μg/m^(3),and mean PM_(2.5) for most sites(about 75%)decrease by 30%-60%.The anthropogenic and meteorological contributions to these PM_(2.5) variations are also determined by using a stepwise multiple linear regression(MLR)model combined with the Kolmogorov-Zurbenko filter.Our results show that the change of anthropogenic emissions is a leading contributor to those widespread PM_(2.5) reductions,and meteorological conditions have the negative influence on PM_(2.5) reductions for some re-gions,such as Beijing-Tianjin-Hebei(BTH).Additionally,the avoided premature death due to PM_(2.5) reduction is estimated as a predicted number based on a log-linear concentration-response function.The total avoided premature death is 9952 in China,with dominant con-tribution(94%)from anthropogenic emission changes.For BTH,Yangtze River Delta,Pearl River Delta and Hubei regions,the reductions of PM_(2.5) are 24.1,24.3,13.5 and 29.5 μg/m^(3),with the avoided premature deaths of 1066,1963,454 and 583,respectively. | Heming Bai Wenkang Gao Yuanpeng Zhang Li Wang | 2022 | Journal of Environmental Sciences2022，34，5： | 0 |
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