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利用印度卫星-地面视角观测评估新冠疫情对对流层一氧化氮污染的影响。

Impact of COVID-19 outbreak on tropospheric NO pollution assessed using Satellite-ground perspectives observations in India.

作者信息

Balamadeswaran P, Karthik J, Ramakrishnan Ruthra, Bharath K Manikanda

机构信息

Department of Mining Engineering, Anna University, Chennai, Tamil Nadu 600025 India.

Institute for Ocean Management, Anna University, Chennai, Tamil Nadu 600025 India.

出版信息

Model Earth Syst Environ. 2022;8(2):1645-1655. doi: 10.1007/s40808-021-01172-x. Epub 2021 May 10.

DOI:10.1007/s40808-021-01172-x
PMID:33997263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8108740/
Abstract

The global outbreak of Novel Corona Virus 2019 (SARS-CoV-2) has made worldwide lockdown including India since March 24, 2020. The current research aims at the improvements of nitrogen dioxide (NO) during the COVID-19 lockdown in India. This research has been done using both the open source data sets taken from satellite and ground based for better analysis. For the satellite-based analysis, the Sentinel 5 Precauser's Tropospheric NO from the European Space Agency and for the ground-based numeric data sets from Central Pollution Control Board (CPCB) has been used. During the COVID-19 disease, outbreak the world has set in quarantine and as an overcome air quality improved in Asian countries after national lockdown, the average NO rates plummeted calculated by 40-50%. Similarly, it dramatically decreased in Asia during the COVID-19 pandemic quarantine period. The basic statistical patterns of the NO concentration spectrum of historical data sets (2018-2020) bi-weekly showed during October to March were seen higher in each year. Related with National Ambient Air Quality Standards of mean of NO in India our result shown in the NO levels fall in 21 μg/m during the national lockdown, from the Central Pollution Control Board's air quality standards it almost decreased 50% of the hourly mean in India. This caused by the sudden restriction to the development of manufacturing and the transportations which ultimately minimized the fossil fuel burning which cause the most of the NO releases to the atmosphere. Nowadays, people are aware about comparatively prosperous future with clear blue skies and uses of renewable energy sources from the nature.

摘要

2019年新型冠状病毒(SARS-CoV-2)的全球爆发自2020年3月24日起导致包括印度在内的全球封锁。当前的研究旨在探讨印度在新冠疫情封锁期间二氧化氮(NO)的变化情况。这项研究使用了来自卫星和地面的开源数据集,以便进行更好的分析。对于基于卫星的分析,使用了欧洲航天局哨兵5号前体的对流层NO数据;对于地面数值数据集,则使用了中央污染控制委员会(CPCB)的数据。在新冠疫情期间,全球实施了封锁,随着亚洲国家在全国封锁后空气质量得到改善,平均NO浓度下降了40%-50%。同样,在新冠疫情封锁期间,亚洲的NO浓度也大幅下降。历史数据集(2018-2020年)每两周的NO浓度谱基本统计模式显示,每年10月至3月期间的NO浓度较高。与印度NO平均浓度的国家环境空气质量标准相关,我们的结果表明,在全国封锁期间,NO水平从中央污染控制委员会的空气质量标准中的21μg/m³降至印度每小时平均水平的近50%。这是由于制造业和交通运输业的发展突然受到限制,最终减少了化石燃料的燃烧,而化石燃料燃烧是大气中NO排放的主要来源。如今,人们意识到未来将更加繁荣,天空湛蓝,并且会更多地使用来自大自然的可再生能源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/5afe8733ea82/40808_2021_1172_Fig6_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/1e45d580607b/40808_2021_1172_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/5afe8733ea82/40808_2021_1172_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/224bf08ee71e/40808_2021_1172_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/25250c8fff0e/40808_2021_1172_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/a72bbe964189/40808_2021_1172_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/b625fb483fc7/40808_2021_1172_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/1e45d580607b/40808_2021_1172_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c471/8108740/5afe8733ea82/40808_2021_1172_Fig6_HTML.jpg

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本文引用的文献

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2
A data analytics approach for COVID-19 spread and end prediction (with a case study in Iran).一种用于预测新冠病毒传播和终结的数据分析方法(以伊朗为例)。
Model Earth Syst Environ. 2022;8(1):579-589. doi: 10.1007/s40808-021-01086-8. Epub 2021 Jan 30.
3
Statistical data analysis of risk factor associated with mortality rate by COVID-19 pandemic in India.
印度新冠疫情相关死亡率风险因素的统计数据分析
Model Earth Syst Environ. 2022;8(1):511-521. doi: 10.1007/s40808-021-01118-3. Epub 2021 Jan 27.
4
Climate effects on the COVID-19 outbreak: a comparative analysis between the UAE and Switzerland.气候对新冠疫情的影响:阿联酋与瑞士的比较分析
Model Earth Syst Environ. 2022;8(1):469-482. doi: 10.1007/s40808-021-01110-x. Epub 2021 Jan 23.
5
Mathematical modeling and a month ahead forecast of the coronavirus disease 2019 (COVID-19) pandemic: an Indian scenario.2019年冠状病毒病(COVID-19)大流行的数学建模与提前一个月预测:印度情况
Model Earth Syst Environ. 2021;7(1):29-40. doi: 10.1007/s40808-020-01080-6. Epub 2021 Jan 19.
6
Impact of population density on Covid-19 infected and mortality rate in India.人口密度对印度新冠病毒感染率和死亡率的影响。
Model Earth Syst Environ. 2021;7(1):623-629. doi: 10.1007/s40808-020-00984-7. Epub 2020 Oct 14.
7
Abrupt decline in tropospheric nitrogen dioxide over China after the outbreak of COVID-19.新冠疫情爆发后中国对流层二氧化氮的急剧下降。
Sci Adv. 2020 Jul 10;6(28):eabc2992. doi: 10.1126/sciadv.abc2992. eCollection 2020 Jul.
8
SARS-CoV-2 pandemic lockdown: Effects on air quality in the industrialized Gujarat state of India.SARS-CoV-2 大流行封锁:对印度工业化古吉拉特邦空气质量的影响。
Sci Total Environ. 2020 Oct 1;737:140391. doi: 10.1016/j.scitotenv.2020.140391. Epub 2020 Jun 20.
9
Air pollution reduction and mortality benefit during the COVID-19 outbreak in China.中国新冠疫情期间空气污染减少及死亡率降低的益处
Lancet Planet Health. 2020 Jun;4(6):e210-e212. doi: 10.1016/S2542-5196(20)30107-8. Epub 2020 May 13.
10
A preliminary assessment of the impact of COVID-19 on environment - A case study of China.新型冠状病毒肺炎疫情对环境影响的初步评估——以中国为例。
Sci Total Environ. 2020 Aug 1;728:138915. doi: 10.1016/j.scitotenv.2020.138915. Epub 2020 Apr 22.