tetano
Editor, Senior Moderator
Sci Total Environ
. 2020 Nov 21;144009.
doi: 10.1016/j.scitotenv.2020.144009. Online ahead of print.
Geospatial analysis of COVID-19 lockdown effects on air quality in the South and Southeast Asian region
Sanjoy Roy[SUP] 1 [/SUP], Monojit Saha[SUP] 2 [/SUP], Bandhan Dhar[SUP] 3 [/SUP], Santa Pandit[SUP] 4 [/SUP], Rubaiya Nasrin[SUP] 5 [/SUP]
Affiliations
Abstract
The COVID-19 pandemic, induced by the novel Coronavirus worldwide outbreak, is causing countries to introduce different types of lockdown measures to curb the contagion. The implementation of strict lockdown policies has had unprecedented impacts on air quality globally. This study is an attempt to assess the effects of COVID-19 induced lockdown measures on air quality in both regional, country, and city scales in the South and Southeast Asian region using open-source satellite-based data and software frameworks. We performed a systematic review of the national lockdown measures of 19 countries of the study area based on publicly available materials. We considered two temporal settings over a period of 66 days to assess and compare the effects of lockdown measures on air quality levels between standard business as usual and current situation COVID-19 lockdown. Results showed that compared to the same period of 2019, atmospheric NO[SUB]2[/SUB], SO[SUB]2[/SUB], PM[SUB]2.5[/SUB], and CO levels decreased by an average of 24.16%, 19.51%, 20.25%, and 6.88%, respectively during the lockdown, while O[SUB]3[/SUB] increased by a maximum of 4.52%. Among the 19 studied cities, Dhaka, Kathmandu, Jakarta, and Hanoi experienced the highest reduction of NO[SUB]2[/SUB] (40%-47%) during the lockdown period compared to the corresponding period of 2019. The methodological framework applied in this study can be used and extended to future research in the similar domain such as understanding long-term effects of COVID-19 mitigation measures on the atmospheric pollution at continental-scale or assessing the effects of the domestic emissions during the stay-at-home; a standard and effective COVID-19 lockdown measure applied in most of the countries.
Keywords: Air pollution; Lockdown setting; SARS-CoV-2; Satellite-based data.
. 2020 Nov 21;144009.
doi: 10.1016/j.scitotenv.2020.144009. Online ahead of print.
Geospatial analysis of COVID-19 lockdown effects on air quality in the South and Southeast Asian region
Sanjoy Roy[SUP] 1 [/SUP], Monojit Saha[SUP] 2 [/SUP], Bandhan Dhar[SUP] 3 [/SUP], Santa Pandit[SUP] 4 [/SUP], Rubaiya Nasrin[SUP] 5 [/SUP]
Affiliations
- PMID: 33250248
- DOI: 10.1016/j.scitotenv.2020.144009
Abstract
The COVID-19 pandemic, induced by the novel Coronavirus worldwide outbreak, is causing countries to introduce different types of lockdown measures to curb the contagion. The implementation of strict lockdown policies has had unprecedented impacts on air quality globally. This study is an attempt to assess the effects of COVID-19 induced lockdown measures on air quality in both regional, country, and city scales in the South and Southeast Asian region using open-source satellite-based data and software frameworks. We performed a systematic review of the national lockdown measures of 19 countries of the study area based on publicly available materials. We considered two temporal settings over a period of 66 days to assess and compare the effects of lockdown measures on air quality levels between standard business as usual and current situation COVID-19 lockdown. Results showed that compared to the same period of 2019, atmospheric NO[SUB]2[/SUB], SO[SUB]2[/SUB], PM[SUB]2.5[/SUB], and CO levels decreased by an average of 24.16%, 19.51%, 20.25%, and 6.88%, respectively during the lockdown, while O[SUB]3[/SUB] increased by a maximum of 4.52%. Among the 19 studied cities, Dhaka, Kathmandu, Jakarta, and Hanoi experienced the highest reduction of NO[SUB]2[/SUB] (40%-47%) during the lockdown period compared to the corresponding period of 2019. The methodological framework applied in this study can be used and extended to future research in the similar domain such as understanding long-term effects of COVID-19 mitigation measures on the atmospheric pollution at continental-scale or assessing the effects of the domestic emissions during the stay-at-home; a standard and effective COVID-19 lockdown measure applied in most of the countries.
Keywords: Air pollution; Lockdown setting; SARS-CoV-2; Satellite-based data.