Diverse spillover effects of COVID-19 control measures on air quality improvement: evidence from typical Chinese cities.
Diverse spillover effects of COVID-19 control measures on air quality improvement: evidence from typical Chinese cities.
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COVID-19控制措施对空气质量改善的多种溢出效应：来自中国典型城市的证据
DOI：
10.1007/s10668-022-02353-z
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
中国政府采取的COVID-19防控措施，特别是交通限制和停产，对空气质量改善产生了溢出效应。这些影响因城市而异，但这些差异尚未得到充分研究。为了提供更多的知识，我们研究了上海、武汉和唐山在COVID-19爆发前后的空气质量指数（AQI）和五种空气污染物（PM2. 5、PM10、SO2、NO2和O3）。分别对两类监测站（交通站和非交通站）的污染数据进行了比较和评价。我们使用交通站点的监测数据来研究交通限制引起的减排。基于非交通站点的监测数据，建立了一个差分中差分模型，研究了停产对减排的影响。COVID-19控制措施降低了AQI和除O3（大幅增加）外的所有污染物浓度，但三个城市的变化幅度不同。控制措施改善了武汉的空气质量，其次是上海和唐山。我们调查了这些差异的原因，发现这三种类型城市的特征差异可以解释溢出效应的差异。了解这些差异，可以为不同城市制定差异化的大气污染控制措施提供一定的指导和支持。例如，在连续工艺企业分布集中的城市，应采用全程减排技术，而在交通发展水平高的城市，应大力推广使用清洁能源的车辆和公共交通。
The COVID-19 prevention and control measures are taken by China’s government, especially traffic restrictions and production suspension, had spillover effects on air quality improvement. These effects differed among cities, but these differences have not been adequately studied. To provide more knowledge, we studied the air quality index (AQI) and five air pollutants (PM2.5, PM10, SO2, NO2, and O3) before and after the COVID-19 outbreak in Shanghai, Wuhan, and Tangshan. The pollution data from two types of monitoring stations (traffic and non-traffic stations) were separately compared and evaluated. We used monitoring data from the traffic stations to study the emission reduction caused by traffic restrictions. Based on monitoring data from the non-traffic stations, we established a difference-in-difference model to study the emission reduction caused by production suspension. The COVID-19 control measures reduced AQI and the concentrations of all pollutants except O3 (which increased greatly), but the magnitude of the changes differed among the three cities. The control measures improved air quality most in Wuhan, followed by Shanghai and then Tangshan. We investigated the reasons for these differences and found that differences in the characteristics of these three types of cities could explain these differences in spillover effects. Understanding these differences could provide some guidance and support for formulating differentiated air pollution control measures in different cities. For example, whole-process emission reduction technology should be adopted in cities with the concentrated distribution of continuous process enterprises, whereas vehicles that use cleaner energy and public transport should be vigorously promoted in cities with high traffic development level.
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影响因子：
4.5
作者：
He C;Hong S;Zhang L;Mu H;Xin A;Zhou Y;Liu J;Liu N;Su Y;Tian Y;Ke B;Wang Y;Yang L
通讯作者：
Yang L
影响因子：
8.3
作者：
Filonchyk M;Hurynovich V;Yan H
通讯作者：
Yan H
2013-2017年中国夏季地表臭氧变化趋势的人为驱动因素
DOI：
10.1073/pnas.1812168116
发表时间：
2019-01-08
影响因子：
11.1
作者：
Li, Ke;Jacob, Daniel J.;Bates, Kelvin H.
通讯作者：
Bates, Kelvin H.
长三角地区COVID-19封锁期间空气质量变化：深入探讨人类活动模式变化对空气污染变化的影响
影响因子：
9.8
作者：
Li, Li;Li, Qing;Chan, Andy
通讯作者：
Chan, Andy
影响因子：
6.7
作者：
Dacre, H. F.;Mortimer, A. H.;Neal, L. S.
通讯作者：
Neal, L. S.