Chen Yiqing, Wang Deyun, ElAmraoui Adnen, Guo Haixiang, Ke Xiaoling
School of Economics and Management, China University of Geosciences, Wuhan, People's Republic of China.
Univ. Artois, Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), Béthune, France.
J Air Waste Manag Assoc. 2023 Mar;73(3):225-239. doi: 10.1080/10962247.2022.2115161. Epub 2023 Feb 14.
Traffic and production restrictions are two important emergency measures for controlling urban air pollution. The lockdown policies implemented during the COVID-19 pandemic period are nearly equivalent to the policies of traffic and production restriction, which provides a rare opportunity to quantitatively evaluate the effectiveness of these emergency measures. Taking Wuhan, China as the study area, this paper firstly verified the changes in six air pollutants and analyzed their change rules in different lockdown periods using statistical methods. Then the structural breakpoints in air pollutants were detected via regression discontinuity design model. To comprehensively understand the effects of restrictions on air pollution, the influences of meteorological conditions on air pollution were also investigated. The results illustrated that the concentrations of PM, PM and NO decreased significantly during lockdown period. By comparing with the RDD coefficients of PM (-34.46), PM (-37.11) and NO (-19.15), the lockdown had little effect on CO (-0.32). The traffic and production restrictions had no apparent effects on SO. Although O showed an increasing trend, the increase was not limited to the lockdown period, meaning that the traffic and production restrictions had less effect on the increasing trend of O concentration. Moreover, the structural breakpoints were verified in four air pollutants (PM, PM, NO, and CO), and the structural breakpoints were caused by lockdown instead of the Spring Festival. The results also indicated that the meteorological conditions were not the main reasons for the changes in air pollutants during the lockdown period. This paper reveals how the traffic and production restrictions affect urban air pollution and provides a strong implementation basis for the air pollution control policy.: The traffic and production restrictions are two important emergency measures for controlling heavy urban air pollution. However, these two measures have never been implemented in a large area like a city for a long enough period, so the effectiveness of these two measures has never been estimated quantitatively at a city level. The lockdown policies implemented during the COVID-19 pandemic are nearly equivalent to the policies of traffic and production restriction, which provides a rare opportunity to quantitatively evaluate the effectiveness of these emergency measures. Thus, this study measured the effectiveness of production and traffic restrictions on different air pollutants. This study provides the following implications: (1) the dominant factors for air pollution changes during the lockdown are traffic and production restriction instead of meteorological conditions; (2) the production and traffic restriction policies are effective for reducing concentrations of PM, PM and NO, while having less effect on O and CO concentrations; (3) the sharp changes in air pollutants in 2020 are unlikely to be caused by the Spring Festival. These findings are crucial for making more comprehensive policies for protecting urban air quality.
交通管制和生产限制是控制城市空气污染的两项重要应急措施。新冠疫情期间实施的封城政策几乎等同于交通管制和生产限制政策,这为定量评估这些应急措施的有效性提供了难得的机会。本文以中国武汉为研究区域,首先验证了六种空气污染物的变化情况,并运用统计方法分析了它们在不同封城时期的变化规律。然后通过回归断点设计模型检测空气污染物的结构断点。为全面了解限制措施对空气污染的影响,还研究了气象条件对空气污染的影响。结果表明,封城期间细颗粒物(PM)、可吸入颗粒物(PM)和二氧化氮(NO)的浓度显著下降。通过比较细颗粒物(-34.46)、可吸入颗粒物(-37.11)和二氧化氮(-19.15)的回归断点设计系数,发现封城对一氧化碳(CO)(-0.32)影响较小。交通管制和生产限制对二氧化硫(SO)没有明显影响。虽然臭氧(O)呈上升趋势,但这种上升并不局限于封城期间,这意味着交通管制和生产限制对臭氧浓度上升趋势的影响较小。此外,在四种空气污染物(细颗粒物、可吸入颗粒物、二氧化氮和一氧化碳)中验证了结构断点,且这些结构断点是由封城而非春节导致的。结果还表明,气象条件不是封城期间空气污染物变化的主要原因。本文揭示了交通管制和生产限制如何影响城市空气污染,并为空气污染控制政策提供了有力的实施依据。:交通管制和生产限制是控制城市严重空气污染的两项重要应急措施。然而,这两项措施从未在像城市这样的大面积区域长时间实施过,因此这两项措施的有效性从未在城市层面进行过定量评估。新冠疫情期间实施的封城政策几乎等同于交通管制和生产限制政策,这为定量评估这些应急措施的有效性提供了难得的机会。因此,本研究测量了生产和交通限制对不同空气污染物的有效性。本研究提供了以下启示:(1)封城期间空气污染变化的主导因素是交通管制和生产限制而非气象条件;(2)生产和交通限制政策对降低细颗粒物、可吸入颗粒物和二氧化氮的浓度有效,而对臭氧和一氧化碳浓度的影响较小;(3)2020年空气污染物的急剧变化不太可能是由春节导致的。这些发现对于制定更全面的保护城市空气质量政策至关重要。