Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study
The problems of atmospheric pollutants are causing significant concern across the globe and in India. The aggravated level of atmospheric pollutants in the surrounding environment poses serious threats to normal living conditions by deteriorating air quality and causing adverse health impacts. Pollu...
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MDPI AG
2022-05-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/5/301 |
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| author | Neeraj K. Maurya Prem Chandra Pandey Subhadip Sarkar Rajesh Kumar Prashant K. Srivastava |
| author_facet | Neeraj K. Maurya Prem Chandra Pandey Subhadip Sarkar Rajesh Kumar Prashant K. Srivastava |
| author_sort | Neeraj K. Maurya |
| collection | DOAJ |
| description | The problems of atmospheric pollutants are causing significant concern across the globe and in India. The aggravated level of atmospheric pollutants in the surrounding environment poses serious threats to normal living conditions by deteriorating air quality and causing adverse health impacts. Pollutant concentration increases during harvesting seasons of Kharif/Rabi due to stubble burning and is aggravated by other points or mobile sources. The present study is intended to monitor the spatio-temporal variation of the major atmospheric pollutants using Sentinel-5P TROPOMI data through cloud computing. Land Use/Land Cover (LULC-categorization or classification of human activities and natural coverage on the landscape) was utilised to extract the agricultural area in the study site. It involves the cloud computing of MOD64A1 (MODIS Burned monthly gridded data) and Sentinel-5P TROPOMI (S5P Tropomi) data for major atmospheric pollutants, such as CH<sub>4</sub>, NO<sub>2</sub>, SO<sub>X</sub>, CO, aerosol, and HCHO. The burned area output provided information regarding the stubble burning period, which has seen post-harvesting agricultural residue burning after Kharif crop harvesting (i.e., rice from April to June) and Rabi crop harvesting (i.e., wheat from September to November). The long duration of stubble burning is due to variation in farmers’ harvesting and burning stubble/biomass remains in the field for successive crops. This period was used as criteria for considering the cloud computing of the Sentinel-5P TROPOMI data for atmospheric pollutants concentration in the study site. The results showed a significant increase in CH<sub>4</sub>, SO<sub>2</sub>, SO<sub>X</sub>, CO, and aerosol concentration during the AMJ months (stubble burning of Rabi crops) and OND months (stubble burning of Kharif crops) of each year. The results are validated with the ground control station data for PM<sub>2.5</sub>/PM<sub>10</sub>. and patterns of precipitation and temperature-gridded datasets. The trajectory frequency for air mass movement using the HYSPLIT model showed that the highest frequency and concentration were observed during OND months, followed by the AMJ months of each year (2018, 2019, 2020, and 2021). This study supports the role and robustness of Earth observation Sentinel-5P TROPOMI to monitor and evaluate air quality and pollutants distribution. |
| first_indexed | 2024-03-10T03:46:39Z |
| format | Article |
| id | doaj.art-b618a634fc044837b6c876183946c092 |
| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-03-10T03:46:39Z |
| publishDate | 2022-05-01 |
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| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-b618a634fc044837b6c876183946c0922023-11-23T11:19:53ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-05-0111530110.3390/ijgi11050301Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case StudyNeeraj K. Maurya0Prem Chandra Pandey1Subhadip Sarkar2Rajesh Kumar3Prashant K. Srivastava4Center for Environmental Sciences & Engineering, School of Natural Sciences, Shiv Nadar University, Greater Noida 201314, IndiaCenter for Environmental Sciences & Engineering, School of Natural Sciences, Shiv Nadar University, Greater Noida 201314, IndiaCenter for Environmental Sciences & Engineering, School of Natural Sciences, Shiv Nadar University, Greater Noida 201314, IndiaDepartment of Geography, Sikkim University, Gangtok 737102, IndiaInstitute of Environment and Sustainable Development, Banaras Hindu University, Varanasi 221005, IndiaThe problems of atmospheric pollutants are causing significant concern across the globe and in India. The aggravated level of atmospheric pollutants in the surrounding environment poses serious threats to normal living conditions by deteriorating air quality and causing adverse health impacts. Pollutant concentration increases during harvesting seasons of Kharif/Rabi due to stubble burning and is aggravated by other points or mobile sources. The present study is intended to monitor the spatio-temporal variation of the major atmospheric pollutants using Sentinel-5P TROPOMI data through cloud computing. Land Use/Land Cover (LULC-categorization or classification of human activities and natural coverage on the landscape) was utilised to extract the agricultural area in the study site. It involves the cloud computing of MOD64A1 (MODIS Burned monthly gridded data) and Sentinel-5P TROPOMI (S5P Tropomi) data for major atmospheric pollutants, such as CH<sub>4</sub>, NO<sub>2</sub>, SO<sub>X</sub>, CO, aerosol, and HCHO. The burned area output provided information regarding the stubble burning period, which has seen post-harvesting agricultural residue burning after Kharif crop harvesting (i.e., rice from April to June) and Rabi crop harvesting (i.e., wheat from September to November). The long duration of stubble burning is due to variation in farmers’ harvesting and burning stubble/biomass remains in the field for successive crops. This period was used as criteria for considering the cloud computing of the Sentinel-5P TROPOMI data for atmospheric pollutants concentration in the study site. The results showed a significant increase in CH<sub>4</sub>, SO<sub>2</sub>, SO<sub>X</sub>, CO, and aerosol concentration during the AMJ months (stubble burning of Rabi crops) and OND months (stubble burning of Kharif crops) of each year. The results are validated with the ground control station data for PM<sub>2.5</sub>/PM<sub>10</sub>. and patterns of precipitation and temperature-gridded datasets. The trajectory frequency for air mass movement using the HYSPLIT model showed that the highest frequency and concentration were observed during OND months, followed by the AMJ months of each year (2018, 2019, 2020, and 2021). This study supports the role and robustness of Earth observation Sentinel-5P TROPOMI to monitor and evaluate air quality and pollutants distribution.https://www.mdpi.com/2220-9964/11/5/301Sentinel-5Pstubble burningMODISair pollutantsconcentrationtrajectories |
| spellingShingle | Neeraj K. Maurya Prem Chandra Pandey Subhadip Sarkar Rajesh Kumar Prashant K. Srivastava Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study ISPRS International Journal of Geo-Information Sentinel-5P stubble burning MODIS air pollutants concentration trajectories |
| title | Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study |
| title_full | Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study |
| title_fullStr | Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study |
| title_full_unstemmed | Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study |
| title_short | Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study |
| title_sort | spatio temporal monitoring of atmospheric pollutants using earth observation sentinel 5p tropomi data impact of stubble burning a case study |
| topic | Sentinel-5P stubble burning MODIS air pollutants concentration trajectories |
| url | https://www.mdpi.com/2220-9964/11/5/301 |
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