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印度从新冠疫情封锁到解封后污染水平的演变。

Evolution of Pollution Levels from COVID-19 Lockdown to Post-Lockdown over India.

作者信息

Tyagi Bhishma, Vissa Naresh Krishna, Ghude Sachin D

机构信息

Department of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela 769008, India.

Indian Institute of Tropical Meteorology Pune, Pune 411008, India.

出版信息

Toxics. 2022 Oct 29;10(11):653. doi: 10.3390/toxics10110653.

DOI:10.3390/toxics10110653
PMID:36355944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9693412/
Abstract

The spread of the COVID-19 pandemic forced the administration to lock down in many countries globally to stop the spread. As the lockdown phase had only the emergency use of transportation and most of the industries were shut down, there was an apparent reduction in pollution. With the end of the lockdown period, pollution is returning to its regular emission in most places. Though the background was abnormally low in emissions (during the lockdown phase) and the reduced pollution changed the radiation balance in the northern hemispheric summer period, a modified pollution pattern is possible during the unlock phases of 2020. The present study analysed the unlock 1 and 2 stages (June-July) of the COVID-19 lockdown over India. The rainfall, surface temperature and cloud cover anomalies of 2020 for understanding the differences in pollutants variation were also analysed. The unlock phases show remarkable differences in trends and mean variations of pollutants over the Indian region compared to climatological variations. The results indicated changing high-emission regions over India to climatological variations and identified an AOD dipole with future emissions over India.

摘要

新冠疫情的蔓延迫使全球许多国家实施封锁措施以阻止病毒传播。由于封锁期间仅允许运输等应急用途,且大多数行业停工,污染明显减少。随着封锁期结束,多数地区的污染又恢复到正常排放水平。尽管在封锁期间排放水平异常低,且污染减少改变了北半球夏季的辐射平衡,但在2020年解封阶段,可能会出现一种变化了的污染模式。本研究分析了印度新冠疫情封锁期间的解封1期和2期(6月至7月)。还分析了2020年的降雨、地表温度和云量异常情况,以了解污染物变化的差异。与气候学变化相比,解封阶段印度地区污染物的趋势和平均变化呈现出显著差异。结果表明,印度高排放区域相对于气候学变化发生了改变,并识别出印度未来排放的一个气溶胶光学厚度偶极子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/51e7518aad87/toxics-10-00653-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/b1ffebbc6c27/toxics-10-00653-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/c74629886240/toxics-10-00653-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/f0603e2e892d/toxics-10-00653-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/51e7518aad87/toxics-10-00653-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/b1ffebbc6c27/toxics-10-00653-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/c74629886240/toxics-10-00653-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/f0603e2e892d/toxics-10-00653-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e758/9693412/51e7518aad87/toxics-10-00653-g004.jpg

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Natural processes dominate the pollution levels during COVID-19 lockdown over India.在印度实施新冠疫情封锁期间,自然过程主导着污染水平。
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基于人为排放源和空气质量数据,在印度建立细颗粒物(PM)区域与新冠疫情之间的联系。
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