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由于 COVID-19 大流行，8 个亚洲国家的环境污染物在时间格局和空间分布上的变化。

Changes in temporal pattern and spatial distribution of environmental pollutants in 8 Asian countries owing to COVID-19 pandemic.

机构信息

University of Karachi, Pakistan.

Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.

出版信息

Chemosphere. 2022 Dec;308(Pt 1):136075. doi: 10.1016/j.chemosphere.2022.136075. Epub 2022 Aug 22.

DOI:10.1016/j.chemosphere.2022.136075
PMID:36007741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9395142/
Abstract

This study investigated the changes in air pollutant's concentration, spatio-temporal distribution and sensitivity of changes in air pollutant's concentration during pre and post COVID-19 outbreak. We employed Google Earth Engine Platform to access remote sensing datasets of air pollutants across Asian continent. Air pollution and cumulative confirmed-COVID cases data of Asian countries (Afghanistan, Bangladesh, China, India, Iran, Iraq, Pakistan, and Saudi Arabia) have been collected and analyzed for 2019 and 2020. The results indicate that aerosol index (AI) and nitrogen dioxide (NO) is significantly reduced during COVID outbreak i.e. in year 2020. In addition, we found significantly positive (P < 0.05, 95% confidence interval, two-tailed) correlation between changes in AI and NO concentration for net active-COVID case increment in almost each country. For other atmospheric gases i.e. carbon monoxide (CO), formaldehyde (HCHO), ozone (O), and Sulfur dioxide (SO), insignificant and/or significant negative correlation is also observed. These results suggest that the atmospheric concentration of AI and NO are good indicators of human activities. Furthermore, the changes in O shows significantly negative correlation for net active-COVID case increment. In conclusion, we observed significant positive environmental impact of COVID-19 restrictions in Asia. This study would help and assist environmentalist and policy makers in restraining air pollution by implementing efficient restrictions on human activities with minimal economic loss.

摘要

本研究调查了 COVID-19 爆发前后，空气污染物浓度、时空分布以及对浓度变化的敏感性的变化。我们利用谷歌地球引擎平台获取亚洲大陆的空气污染物遥感数据集。收集并分析了亚洲国家（阿富汗、孟加拉国、中国、印度、伊朗、伊拉克、巴基斯坦和沙特阿拉伯）的空气污染和累计确诊 COVID 病例数据，分别为 2019 年和 2020 年。结果表明，气溶胶指数（AI）和二氧化氮（NO）在 COVID 爆发期间即 2020 年显著降低。此外，我们发现，在几乎每个国家，AI 和 NO 浓度的变化与净活跃 COVID 病例增量之间存在显著正相关（P<0.05，置信区间为 95%，双侧）。对于其他大气气体，如一氧化碳（CO）、甲醛（HCHO）、臭氧（O）和二氧化硫（SO），也观察到不显著和/或显著负相关。这些结果表明，AI 和 NO 的大气浓度是人类活动的良好指标。此外，O 的变化与净活跃 COVID 病例增量呈显著负相关。总之，我们观察到 COVID-19 限制在亚洲地区对环境产生了显著的积极影响。本研究将有助于环保主义者和政策制定者通过对人类活动实施有效的限制，以最小的经济损失来抑制空气污染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/2b6d7088d459/gr9_lrg.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/2b6d7088d459/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/b2e433b4aa01/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/60ff76ef4ac9/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/c1e613c376dd/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/5ad0b809c1b1/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/4e825ce05c20/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/006087116392/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/f179f041427a/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/aa70384246e8/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/af134218b7a9/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a9/9395142/2b6d7088d459/gr9_lrg.jpg

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