Revisiting the levels of Aerosol Optical Depth in south-southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations.
Revisiting the levels of Aerosol Optical Depth in south-southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations.
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利用卫星观测重新研究新冠肺炎大流行期间南亚、东南亚、欧洲和美国的气溶胶光学厚度水平。
DOI:
10.1016/j.envres.2020.110514
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发表时间:
2021-03
影响因子:
8.3
通讯作者:
Sreekesh S
中科院分区:
文献类型:
--
作者:
Acharya P;Barik G;Gayen BK;Bar S;Maiti A;Sarkar A;Ghosh S;De SK;Sreekesh S
The countries around the world are dealing with air quality issues for decades due to their mode of production and energy usages. The outbreak of COVID-19 as a pandemic and consequent global economic shutdown, for the first time, provided a base for the real-time experiment of the effect of reduced emissions across the globe in abetting the air pollution issue. The present study dealt with the changes in Aerosol Optical Depth (AOD), a marker of air pollution, because of global economic shutdown due to the coronavirus pandemic. The study considered the countries in south and south-east Asia (SSEA), Europe and the USA for their extended period of lockdown due to coronavirus pandemic. Daily Aerosol Optical Depth (AOD) from Moderate-resolution imaging spectroradiometer (MODIS) and tropospheric column density of NO2 and SO2 from Ozone monitoring instrument (OMI) sensors, including meteorological data such as wind speed (WS) and relative humidity (RH) were analyzed during the pre-lockdown (2017–2019) and lockdown periods (2020). The average AOD, NO2 and SO2 during the lockdown period were statistically compared with their pre-lockdown average using Wilcoxon-signed-paired-rank test. The accuracy of the MODIS-derived AOD, including the changing pattern of AOD due to lockdown was estimated using AERONET data. The weekly anomaly of AOD, NO2 and SO2 was used for analyzing the space-time variation of aerosol load as restrictions were imposed by the concerned countries at the different points of time. Additionally, a random forest-based regression (RF) model was used to examine the effects of meteorological and emission parameters on the spatial variation of AOD. A significant reduction of AOD (−20%) was obtained for majority of the areas in SSEA, Europe and USA during the lockdown period. Yet, the clusters of increased AOD (30–60%) was obtained in the south-east part of SSEA, the western part of Europe and US regions. NO2 reductions were measured up to 20–40%, while SO2 emission increased up to 30% for a majority of areas in these regions. A notable space-time variation was observed in weekly anomaly. We found the evidence of the formation of new particles for causing high AOD under high RH and low WS, aided by the downward vertical wind flow. The RF model showed a distinguishable relative importance of emission and meteorological factors among these regions to account for the spatial variability of AOD. Our findings suggest that the continued lockdown might provide a temporary solution to air pollution; however, to combat persistent air quality issues, it needs switching over to the cleaner mode of production and energy. The findings of this study, thus, advocated for alternative energy policy at the global scale. AOD reduced to 20% in majority of the areas in SSEA, Europe and USA due to lockdown measures. NO2 reduction was measured up to 20–40%, while SO2 increased up to 30% for majority of the areas during lockdown. A complex interaction among SO2, WS and RH leads to high AOD by forming new particles. Significant correlation was found between SO2 concentration and residential mobility during lockdown period for USA. A distinguishable influence on AOD was obtained for emission and meteorological factors using random forest regression.
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DOI:
10.1016/s0140-6736(17)30505-6
发表时间:
2017-05-13
期刊:
Lancet (London, England)
影响因子:
--
作者:
Cohen AJ;Brauer M;Burnett R;Anderson HR;Frostad J;Estep K;Balakrishnan K;Brunekreef B;Dandona L;Dandona R;Feigin V;Freedman G;Hubbell B;Jobling A;Kan H;Knibbs L;Liu Y;Martin R;Morawska L;Pope CA 3rd;Shin H;Straif K;Shaddick G;Thomas M;van Dingenen R;van Donkelaar A;Vos T;Murray CJL;Forouzanfar MH
通讯作者:
Forouzanfar MH
影响因子:
3.8
作者:
Irie, H.;Boersma, K. F.;Wang, Z. F.
通讯作者:
Wang, Z. F.
影响因子:
9.8
作者:
Abdullah, Samsuri;Abu Mansor, Amalina;Ramly, Zamzam Tuah Ahmad
通讯作者:
Ramly, Zamzam Tuah Ahmad
影响因子:
9.8
作者:
Collivignarelli, Maria Cristina;Abba, Alessandro;Miino, Marco Carnevale
通讯作者:
Miino, Marco Carnevale
影响因子:
6.3
作者:
Hilboll, A.;Richter, A.;Burrows, J. P.
通讯作者:
Burrows, J. P.