利用卫星数据分析COVID-19期间的空气质量

Tinku Singh, Nikhil Sharma, Vinarm Rajput, Suryanshi Mishra, Satakshi, Manish Kumar
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引用次数: 1

摘要

新型冠状病毒(COVID-19)严重危害人类健康。它被视为自第二次世界大战以来人类面临的最严重的全球健康威胁,世界卫生组织于2020年3月11日将其认定为大流行。这次大流行导致几个国家采取了全州范围的封锁措施,而几个国家的工业、建筑和交通活动被中断,导致空气污染物发生了重大变化。然而,封锁对一些城市的环境和空气质量产生了重大影响。污染控制组织部署了许多地面站来监测和收集空气污染物数据,但不可能在每个城市都建立一个地面站。在没有地面站收集数据的地方,谷歌地球引擎(GEE)卫星捕获的数据可用于数据分析。本研究旨在分析印度不同封锁期间空气污染物的变化,如二氧化氮(NO2)、二氧化硫(SO2)和一氧化碳(CO),这些污染物对空气污染有重要影响。在印度,根据新冠肺炎疫情,分别在2020年、2021年和2022年的不同时期实施了封锁。分析了不同时间段的空气污染物数据,并将其与covid - 19前一年(2019年)相同时间段的数据进行了比较。根据研究结果,N$ O2和S$ O2大幅减少,但CO的减少幅度很小。德里、斋浦尔、艾哈迈达巴德和孟买是减少幅度最大的主要城市,减少幅度高达60%。
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Air Quality Analysis During COVID-19 Utilizing Satellite Data
Human health is severely endangered by the novel coronavirus (COVID-19). It is viewed as the worst global health threat humans have faced since the second world war and the WHO recognized it as a pandemic on March 11, 2020. This pandemic led several nations to adopt statewide lockdowns, while the industrial, construction, and transportation activities in several nations were disrupted, which lead to a significant shift in air pollutants. The lockdown, however, significantly impacted the environment and air quality in distinct cities. There are numerous ground stations deployed by pollution control organizations to monitor and collect the air pollutants data, but it is not feasible to set up a ground station in every city. In places where ground stations are not available for data collection, Google Earth Engine (GEE) satellite captured data can be used for data analysis. This study aimed to analyze the changes in air pollutants during the different lockdowns in India, such as nitrogen dioxide(NO2), sulfur dioxide(SO2), and carbon monoxide(CO) that contribute significantly to air pollution. In India, lockdowns were imposed during different periods of 2020, 2021, and 2022, according to COVID-19 waves. The air pollutants data during different waves have been analyzed and compared with the pre-COVID year (2019) data for the same duration. According to the study results, $N$ O2 and $S$ O2 were drastically reduced, but only a minor reduction in CO. Delhi, Jaipur, Ahmedabad, and Mumbai were among the major cities that saw the largest reduction, which was up to 60%.
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