COVID-19 slowdown induced improvement in air quality in India: rapid assessment using Sentinel-5P TROPOMI data

Mudi, Sujoy; Sirivella, Zephaniah

doi:10.1080/10106049.2021.1993351

Cited by 22 publications

(11 citation statements)

References 65 publications

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“…Covid 19, undoubtedly a nightmare for the whole world, also has at least one merit to see. Due to the lockdown, most of the daily commuting was halted, which resulted in less vehicular use and hence less vehicular emissions in the valley (Behera et al., 2022; Ghahremanloo et al., 2021; Ghasempour et al., 2021). The same is depicted by the graph.…”

Section: Discussionmentioning

confidence: 99%

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

Gupta,

Shukla,

Shukla

2024

Earth and Space Science

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Imphal Valley, situated in Manipur, India, stands as an intermontane valley of great ecological significance, notably hosting Loktak Lake. This research delves into the Land Use Land Cover Change (LULCC) within the Imphal Valley from 2016 to 2021 and assesses their impact on air quality across distinct land cover types. We used Sentinel‐1 & 2 data, ALOS PALSAR Digital Elevation Model, and applied Random Forest (RF), a machine learning algorithm for effective land use and land cover (LULC) mapping. Additionally, Sentinel‐5P data was utilized to monitor air quality parameters (CO, HCHO, NO2, SO2, Aerosol Index) spanning 2019 to 2021. The overall accuracies for the LULC maps employing a k (k = 3) fold approach for accuracy assessment varied between 88% and 92%, with corresponding Kappa coefficient ranging from 0.85 to 0.90. Noteworthy trends emerged from our analysis, revealing an increase in settlements and horticulture farms and a decline in forested areas and phumdis (floating biomass). Our findings highlight a mean concentration of CO ranging between 0.045 mol/m2 and 0.055 mol/m2 in different land cover types during February and March (2019–2021). Furthermore, we observed maximum mean HCHO, NO2, SO2, and aerosol index concentrations in March. Pollution levels surged during forest fires and shifting agriculture seasons, while aerosol levels declined during the lockdown period. This integrated approach emphasized on the comprehensive analysis of the dynamic interplay between LULCC and air quality in the Imphal Valley. This intricate relationship between LULC changes and air quality dynamics in the Imphal Valley, contribute to our understanding of the environmental dynamics in this ecologically vital region.

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Section: Discussionmentioning

confidence: 99%

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

Gupta,

Shukla,

Shukla

2024

Earth and Space Science

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“…Google Earth Engine, a cloud computing platform, which is a modern powerful open tool for solving environmental monitoring problems, was used as an environment for data preparation and analysis [7,8,9]. This platform has been successfully used in various scale research [10,11,12,13,14] to analyze changes in atmospheric air quality during the lockdown due to the COVID pandemic in 2020-2021.…”

Section: Methodsmentioning

confidence: 99%

Air quality impacts of war detected from the Sentinel-5P satellite over Ukraine

Davybida

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The general aim of this research is to analyze spatial-temporal changes of air quality, which are the consequences of the military invasion of the Russian on the territory of Ukraine based on open remote sensing data, geoinformation and cloud technologies. The density of NO2, SO2, CO and HCHO as well as the density of O3 and the absorbing aerosol index (AAI) extracted from the Sentinel-5P satellite using Google Earth Engine (GEE) showed reduced emission of primary air pollutants and a high level of atmospheric restoration compared to 2021, the year before the war. At the same time values of the AAI increased significantly, indicating the presence of smoke and dust in the air. Obtained results showed one more aspect of the drastic effect of the war on the economic and social processes and environmental conditions. The consequences of this ecological effect can have a long-term negative impact on the health of populations.

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“…Limited studies have reported the variations in CH4 during the lockdown period. Notably, Chauhan and Singh (2021) used AIRS satellite data over six megacities of India, and Behera et al (2021) focused on seven west-east Indian agro-climatic zones by utilizing Sentinel-5P data and highlighted the increased CH4 concentrations. Behera et al (2021) reported that the seasonal variability of CH4 was linked to crop-residual burning, and the study defined higher CH4 values in 2021.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Notably, Chauhan and Singh (2021) used AIRS satellite data over six megacities of India, and Behera et al (2021) focused on seven west-east Indian agro-climatic zones by utilizing Sentinel-5P data and highlighted the increased CH4 concentrations. Behera et al (2021) reported that the seasonal variability of CH4 was linked to crop-residual burning, and the study defined higher CH4 values in 2021. Similarly, Dutta et al (2021) argued that the increase in CH4 over India agreed with the global rise using Sentinel-5P.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Then and Now: COVID-19 Pandemic Lockdown Misfire Atmospheric Methane over India

Hari

Sahu

Sunder

et al. 2022

Aerosol Air Qual. Res.

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COVID-19 lockdown resulted in the revival of the environment due to reduced emissions of various pollutants globally. In particular, aerosols, NOx and SO2 showed significant reductions at most places. However, the greenhouse gases are not necessarily following this reduction everywhere. In most areas, a decrease in NOx increases methane (CH4) concentration by enhancing the lifetime, but also results in decreased concentrations with reduced emissions.Analyzing the atmospheric CH4 variations during the COVID-19 lockdown over India is crucial as India is one of the regions with high seasonal variability of CH4. The present study has analyzed the tropospheric CH4 trends over India during the pre-monsoon season (March -May) for 2003 -2021 using AIRS data. The study analyzed the lockdown variations (24 March -31 May) of tropospheric CH4 over India with the same period of 2019 and 2021 using TROPOMI to find the changes in CH4 concentrations over different regions of India due to lockdown. Our results capture the undeviating north (low) -south (high) gradient in the CH4 concentration with anticipated regional intensifications, likely, in the eastern and western coastal regions, with more comprehensive details than it ever has been presented before.

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COVID-19 slowdown induced improvement in air quality in India: rapid assessment using Sentinel-5P TROPOMI data

Cited by 22 publications

References 65 publications

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

Air quality impacts of war detected from the Sentinel-5P satellite over Ukraine

Then and Now: COVID-19 Pandemic Lockdown Misfire Atmospheric Methane over India

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