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新冠疫情期间中国31个省会城市的空气质量变化及其相关的健康和经济负担

Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic.

作者信息

Nie Dongyang, Shen Fuzhen, Wang Junfeng, Ma Xiaoyun, Li Zhirao, Ge Pengxiang, Ou Yang, Jiang Yuan, Chen Meijuan, Chen Mindong, Wang Tijian, Ge Xinlei

机构信息

School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.

Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.

出版信息

Atmos Res. 2021 Feb;249:105328. doi: 10.1016/j.atmosres.2020.105328. Epub 2020 Oct 20.

Abstract

With outbreak of the novel coronavirus disease (COVID-19), immediate prevention and control actions were imposed in China. Here, we conducted a timely investigation on the changes of air quality, associated health burden and economic loss during the COVID-19 pandemic (January 1 to May 2, 2020). We found an overall improvement of air quality by analyzing data from 31 provincial cities, due to varying degrees of NO, PM, PM and CO reductions outweighing the significant O increase. Such improvement corresponds to a total avoided premature mortality of 9410 (7273-11,144) in the 31 cities by comparing the health burdens between 2019 and 2020. NO reduction was the largest contributor (55%) to this health benefit, far exceeding PM (10.9%) and PM (23.9%). O instead was the only negative factor among six pollutants. The period with the largest daily avoided deaths was rather not the period with strict lockdown but that during February 25 to March 31, due to largest reduction of NO and smallest increase of O. Southwest, Central and East China were regions with relatively high daily avoided deaths, while for some cities in Northeast China, the air pollution was even worse, therefore could cause more deaths than 2019. Correspondingly, the avoided health economic loss attributable to air quality improvement was 19.4 (15.0-23.0) billion. Its distribution was generally similar to results of health burden, except that due to regional differences in willingness to pay to reduce risks of premature deaths, East China became the region with largest daily avoided economic loss. Our results here quantitatively assess the effects of short-term control measures on changes of air quality as well as its associated health and economic burden, and such information is beneficial to future air pollution control.

摘要

随着新型冠状病毒肺炎(COVID-19)疫情的爆发,中国立即采取了防控措施。在此,我们对COVID-19大流行期间(2020年1月1日至5月2日)空气质量的变化、相关健康负担和经济损失进行了及时调查。通过分析31个省级城市的数据,我们发现空气质量总体有所改善,这是因为不同程度的氮氧化物(NO)、细颗粒物(PM)、可吸入颗粒物(PM)和一氧化碳(CO)的减少量超过了臭氧(O)的显著增加量。通过比较2019年和2020年的健康负担,这种改善使得31个城市总共避免了9410例(7273 - 11144例)过早死亡。氮氧化物的减少对这种健康益处的贡献最大(55%),远远超过细颗粒物(10.9%)和可吸入颗粒物(23.9%)。相反,臭氧是六种污染物中唯一的负面因素。每日避免死亡人数最多的时期并非严格封锁时期,而是2月25日至3月31日期间,这是由于氮氧化物减少量最大且臭氧增加量最小。中国西南、中部和东部地区是每日避免死亡人数相对较多的地区,而中国东北地区的一些城市空气污染甚至更严重,因此可能导致比2019年更多的死亡人数。相应地,空气质量改善所避免的健康经济损失为194亿(150亿 - 230亿)元。其分布总体上与健康负担结果相似,只是由于不同地区降低过早死亡风险的支付意愿存在差异,华东地区成为每日避免经济损失最大的地区。我们的研究结果在此定量评估了短期控制措施对空气质量变化及其相关健康和经济负担的影响,这些信息有助于未来的空气污染控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53fe/7574695/150c92ea649f/ga1_lrg.jpg

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