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分析 COVID-19 不同时期空气质量影响因素:以中国唐山为例。

Analysis of Factors Influencing Air Quality in Different Periods during COVID-19: A Case Study of Tangshan, China.

机构信息

College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.

出版信息

Int J Environ Res Public Health. 2023 Feb 26;20(5):4199. doi: 10.3390/ijerph20054199.

Abstract

This study aimed to analyze the main factors influencing air quality in Tangshan during COVID-19, covering three different periods: the COVID-19 period, the Level I response period, and the Spring Festival period. Comparative analysis and the difference-in-differences (DID) method were used to explore differences in air quality between different stages of the epidemic and different years. During the COVID-19 period, the air quality index (AQI) and the concentrations of six conventional air pollutants (PM, PM, SO, NO, CO, and O-8h) decreased significantly compared to 2017-2019. For the Level I response period, the reduction in AQI caused by COVID-19 control measures were 29.07%, 31.43%, and 20.04% in February, March, and April of 2020, respectively. During the Spring Festival, the concentrations of the six pollutants were significantly higher than those in 2019 and 2021, which may be related to heavy pollution events caused by unfavorable meteorological conditions and regional transport. As for the further improvement in air quality, it is necessary to take strict measures to prevent and control air pollution while paying attention to meteorological factors.

摘要

本研究旨在分析 COVID-19 期间唐山空气质量的主要影响因素,涵盖了三个不同时期:COVID-19 时期、一级响应时期和春节时期。采用对比分析和双重差分(DID)方法,探讨了疫情不同阶段和不同年份空气质量的差异。在 COVID-19 时期,空气质量指数(AQI)和六种常规空气污染物(PM、PM、SO、NO、CO 和 O-8h)浓度与 2017-2019 年相比显著降低。对于一级响应时期,2020 年 2 月、3 月和 4 月 COVID-19 控制措施导致的 AQI 降低分别为 29.07%、31.43%和 20.04%。在春节期间,六种污染物的浓度明显高于 2019 年和 2021 年,这可能与不利气象条件和区域传输引起的重污染事件有关。为了进一步改善空气质量,有必要在关注气象因素的同时,采取严格的措施来预防和控制空气污染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb54/10002059/1bcfad3893a7/ijerph-20-04199-g001.jpg

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