TY - GEN
T1 - Government COVID-19 Responses and Subsequent Influences on NO2Variation in Ayutthaya, Thailand
AU - Kodaka, Akira
AU - Leelawat, Natt
AU - Tang, Jing
AU - Onda, Yasushi
AU - Kohtake, Naohiko
N1 - Funding Information:
This research was supported by Science and Technology Research Partnership for Sustainable Development (SATREPS, JPMJSA1708) in collaboration between Japan Science and Technology Agency (JST), and Japan International Cooperation Agency (JICA), by Chula Engineering’s Promoting Research Grant (2020); the Ratchadapisek Sompoch Endowment Fund (2020), Chulalongkorn University (763014-Climate Change and Disaster Management Cluster); and the EU Marie Curie Project: GOLF (reference no. GOLF-777742).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/20
Y1 - 2021/1/20
N2 - 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 NO2 data from Sentinel-5P. The mean value of NO2 density 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 NO2 density 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.
AB - 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 NO2 data from Sentinel-5P. The mean value of NO2 density 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 NO2 density 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.
KW - COVID-19
KW - Google Earth Engine
KW - Thailand
KW - air quality
KW - government response
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U2 - 10.1109/ICA-SYMP50206.2021.9358431
DO - 10.1109/ICA-SYMP50206.2021.9358431
M3 - Conference contribution
AN - SCOPUS:85102521762
T3 - 2021 2nd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2021
BT - 2021 2nd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2021
Y2 - 20 January 2021 through 22 January 2021
ER -