政府应对COVID-19及其对泰国大城府二氧化氮变化的影响

A. Kodaka, N. Leelawat, Jing Tang, Yasushi Onda, N. Kohtake
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引用次数: 2

摘要

政府为尽量减少COVID-19传播而对经济活动的控制影响了大气条件。基于卫星的技术有望监测这些变化,即使是非地理空间分析专家也可以通过基于云的开放平台使用它。本研究旨在基于这些政府对人类活动的控制,对大气变化的原因给出科学的解释。在2020年1月1日至4月30日期间,对泰国大城府包括工业区在内的一个城市地区的二氧化氮(NO2)水平进行了监测。利用包括Sentinel-5P no2数据在内的4个数据集,利用Google Earth Engine进行分析。2020年no2浓度均值较2019年下降12.5%。政府关闭工业设施似乎是造成这种现象的主要原因。这种下降经过统计检验,并导致两个时期之间的显著差异。随着每日新增病例减少到个位数,从2020年5月1日开始,这种差异变得不显著。对二氧化氮密度变化的单时间序列分析使政府的应对措施和政策以及随后的经济活动的简短影响可视化;然而,进一步的评估需要进一步的大气和工业活动数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Government COVID-19 Responses and Subsequent Influences on NO2Variation in Ayutthaya, Thailand
The control of economic activities by governments for the purpose of minimizing COVID-19 spread influenced atmospheric conditions. Satellite-based technology is promising to monitor these changes and even non-specialists in geospatial analysis can use it through cloud-based open platforms. This study aims to give scientific interpretation on the causes of the atmospheric changes based on these governmental controls on human activity. The nitrogen dioxide (NO2) levels were monitored in Ayutthaya Province in Thailand in an urban area including industrial zones during January 1 to April 30, 2020. An analysis was conducted with Google Earth Engine by using four datasets including NO2data from Sentinel-5P. The mean value of NO2density in 2020 decreased 12.5% compared with that in 2019. The closure of industrial facilities by the government seemed to be a key cause of the phenomena. The decline was statistically tested and resulted in a significant difference between the two periods. As the new daily cases decreased to single digits, the difference became non-significant from May 1, 2020. Single timeseries analysis on NO2density change enabled visualization of the brief impact of responses and policies made by the government and subsequent economic activities; however, further atmospheric and industrial activity data are required for further assessment.
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