Spatiotemporal Assessment of Atmospheric Trace Gases over Singrauli Coal-Industrial Cluster Using Sentinel-5P TROPOMI and Google Earth Engine (2019–2024)

Authors

  • Bhupendra Kumar

    University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi 110078, India

     
  • Naresh Chandra Gupta University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi 110078, India

DOI:

https://doi.org/10.30564/jasr.v9i3.13463
Received: 10 April 2026 | Revised: 12 May 2026 | Accepted: 22 May 2026 | Published Online: 29 May 2026

Abstract

This study presents a multi-year satellite-based assessment of atmospheric pollution over Singrauli, Madhya Pradesh, India's largest coal-industrial cluster using Sentinel-5P (TROPOMI) retrievals for 2019–2024. Concentrations of CO, NO₂, SO₂, O₃, HCHO, Cloud Fraction, UV Aerosol Absorbing Index (UV-AAI), and surface solar irradiance (NASA POWER) were analysed using Google Earth Engine (GEE), with spatial visualization performed in ArcGIS Pro. The study characterizes seasonal behaviour, identifies persistent emission hotspots, quantifies long-term pollutant trends, and explores pollutant interdependencies in a critically polluted industrial region. Results indicate strong winter and post-monsoon enhancement of CO, NO₂, and SO₂, attributed to suppressed boundary-layer mixing and intensified coal combustion, while O₃ and HCHO peaked during pre-monsoon under elevated photochemical activity driven by high solar irradiance. Industrial hotspots were consistently identified over Anpara, Vindhyachal, Renusagar, and the Mahan thermal power plant zones. Mann–Kendall trend analysis indicated gradual, non-significant directional tendencies (p > 0.05) toward increasing CO, SO₂, and O₃, alongside slight NO₂ reductions. Spearman correlation revealed strong combustion-linked coupling (CO–NO₂ ρ = 0.78; NO₂–SO₂ ρ = 0.72), photochemical associations (Solar–O₃ ρ = 0.75; Solar–HCHO ρ = 0.61), and cloud-mediated suppression of UV-AAI and O₃. The Sentinel-5P and GEE framework demonstrates a scalable, cost-effective approach applicable to data-scarce industrial regions, supporting National Clean Air Programme (NCAP)-aligned air quality management in coal-dependent clusters across India.

Keywords:

Sentinel-5P; Singrauli; Air Pollution; Mann–Kendall Trend; Spearman Correlation; TROPOMI; Google Earth Engine; Seasonal Variability

References

[1] WHO, 2021. WHO Global Air Quality Guidelines: Particulate Matter (PM₂.₅ and PM10), Ozone, NO₂, SO₂ & CO. World Health Organization: Geneva, Switzerland. https://www.who.int/publications/i/item/9789240034228

[2] Guttikunda, S.M., Goel, R., Pant, P., 2019. Nature of air pollution, emission sources, and management in Indian cities. Atmospheric Environment. 95, 501–510.

[3] Granier, C., Bessagnet, B., Bond, T., et al., 2011. Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980–2010 period. Climatic change. 109(1), 163.

[4] Ambikan, A.T., Dasgupta, S., Dhar, R., et al., 2025. Exposure to Household Biomass Burning and Coal-Fired Power Plant Emissions Exacerbates Biological Aging in Females-A Case-Control Study. DOI: https://dx.doi.org/10.2139/ssrn.5738405

[5] Aher, S.B., Dobhal, R.S., Awasthi, 2014. Spatial and temporal variations of SO₂, NOx, PM10 and TSPM concentration in ambient air of Jalna City, India. International Journal of Agriculture, Environment and Biotechnology. 7(3), 571–579. DOI: https://doi.org/10.5958/2230-732X.2014.01362.X

[6] Aher, S.B., Nandi, S., Ramesh, G., et al., 2022. Effects of COVID-19 lockdown on ambient air pollution in Madhya Pradesh, India. International Journal of Environmental Studies. 79(3), 401–416. DOI: https://doi.org/10.1080/00207233.2021.1929412

[7] Goto, D., Yashiro, H., Yamashita, Y., et al., 2026. Assessment of the impacts of anthropogenic ozone precursors on domestic and transboundary ozone concentrations using a high-resolution global chemistry model. Progress in Earth and Planetary Sciences. 13, 3. DOI: https://doi.org/10.1186/s40645-025-00791-7

[8] Peters, A., Pope, C.M., 2002. Cardiopulmonary mortality and air pollution. The Lancet. 360(9341), 1184–1185.

[9] Jaganathan, S., Stafoggia, M., Rajiva, A., et al., 2024. Estimating the effect of annual PM2.5 exposure on mortality in India: A difference-in-differences approach. The Lancet Planetary Health. 8, e987–e996.

[10] Nguyen, N.H., Turner, A.J., Yin, Y., et al., 2020. Effects of Chemical Feedbacks on Decadal Methane Emissions Estimates. Geophysical Research Letters. 47(7), e2019GL085706. DOI: https://doi.org/10.1029/2019GL085706

[11] Ojha, N., Naja, M., Singh, K. P., et al., 2012. Variabilities in ozone at a semi-urban site in the Indo-Gangetic Plain region: Association with the meteorology and regional processes. Journal of Geophysical Research: Atmospheres. 117(D20). DOI: https://doi.org/10.1029/2012JD017716

[12] Zhang, H., Wu, S., Huang, Y., 2014. Effects of stratospheric ozone recovery on photochemistry and ozone air quality in the troposphere. Atmospheric Chemistry and Physics. 14(8), 4079–4086.

[13] Jethva, H., Torres, O., Ahn, C., 2014. Global assessment of OMI aerosol single‐scattering albedo using ground‐based AERONET inversion. Journal of Geophysical Research: Atmospheres. 119(14), 9020–9040.

[14] Fadnavis, S., Mahajan, A.M., Choudhury, A.D., et al., 2020. Atmospheric aerosols and trace gases. In: Krishnan, R., Sanjay, J., Gnanaseelan, C., et al. (Eds.). Assessment of Climate Change over the Indian Region: A Report of the Ministry of Earth Sciences (MoES), Government of India. Springer Singapore: Singapore. pp. 93–116.

[15] Monks, P.S., Archibald, A.T., Colette, A., et al., 2015. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer. Atmospheric Chemistry and Physics. 15(15), 8889–8973.

[16] Kondratyev, K.Y., Varotsos, C.A., 1996. Global total ozone dynamics: Impact on surface solar ultraviolet radiation variability and ecosystems Part I: Global ozone dynamics and environmental safety (ESPR 3/96) Part II: Dynamics of atmospheric chemical composition: The role of remote sensing (ESPR 4/96). Environmental Science and Pollution Research. 3(4), 153–157.

[17] Anderson, D.C., Duncan, B.N., Fiore, A.M., et al., 2021. Spatial and temporal variability in the hydroxyl (OH) radical: Understanding the role of large-scale climate features and their influence on OH through its dynamical and photochemical drivers. Atmospheric Chemistry and Physics. 21(8), 6481–6508.

[18] Musiolková, M., Huszár, P.H., Navrátil, M., et al., 2021. Impact of season, cloud cover, and air pollution on different spectral regions of ultraviolet and visible incident solar radiation at the surface. Quarterly Journal of the Royal Meteorological Society. 147(738), 2834–2849.

[19] Plocoste, T., Calif, R., Euphrasie-Clotilde, L., et al., 2020. Investigation of local correlations between particulate matter (PM10) and air temperature in the Caribbean basin using Ensemble Empirical Mode Decomposition. Atmospheric Pollution Research. 11(10), 1692–1704.

[20] Kumar, P., Choudhary, A., Joshi, P.K., et al., 2025. Machine learning models for estimating criteria pollutants and health risk-based air quality indices over Eastern Coast coal mine complex belts. Frontiers in Environmental Science. 13, 1589991.

[21] Singh, A.K., Shukla, S.K., 2025. Assessing Air Pollution Tolerance, Photosynthetic Pigmentation, and Dust Capturing Capacity of Roadside Trees in the Mining Region. Journal of Sustainable Forestry. 44(7), 572–598.

[22] CPCB, 2021. Comprehensive Environmental Pollution Index (CEPI) Report: Critically Polluted Industrial Clusters. Ministry of Environment, Forest & Climate Change: New Delhi, India.

[23] Huang, H., Chen, T.K., Kamalanathan, S., et al., 2025. Spatiotemporal Analysis of Urban Air Pollution Dynamics: Linking Emission Sources, Meteorological Influences, and Public Health Risks Through Long-Term Monitoring. Applied Ecology and Environmental Research. 23(6), 10559–10589.

[24] Yadav, A.K., Shirin, S., Emmanouil, C., et al., 2022. Effect of seasonal and meteorological variability of air pollution in Singrauli coalfield. Aerosol Science and Engineering. 6(1), 61–70.

[25] Srivastava, A., Thakur, A.K., Garg, R.D., et al., 2025. Spatiotemporal analysis of NO2 trends over major air pollution hotspots in India using Sentinel-5P. Journal of Earth System Science. 134(3), 172.

[26] Srivastava, A., Thakur, A.K., Garg, R.M., et al., 2026. A Comprehensive Assessment of Spatiotemporal Dynamics of Urban NO2 using Sentinel-5P with Evaluation of the Predictive Capability of Sentinel-2 for Pollution Estimation. Water, Air, & Soil Pollution. 237(6), 382.

[27] MoEFCC, 2020. National Clean Air Programme (NCAP). Ministry of Environment, Forest & Climate Change, Government of India:New Delhi, India.

[28] Kumar, R., Yadav, S., Verma, A., et al., 2026. Metal pollution in roadside dust of Singrauli power belt in central India and associated human health risk. Environmental Monitoring and Assessment. 198(2), 151.

[29] Bose, R.K., Leitmann, J., 1996. Environmental profile of the Singrauli region. Cities. 13(2), 71–77.

[30] Roy, D., Singh, G., 2014. Source apportionment of particulate matter (PM10) in an integrated coal mining complex of Jharia coalfield, Eastern India: A review. International Journal of Engineering Research and Applications. 4(4), 97–113.

[31] Behera, S., Kannemadugu, H.B.S., Divy, K.G., et al., 2025. Satellite-based monitoring of NO₂ concentrations over thermal power plants around Delhi and assessing their role in Delhi air pollution. International Journal of Remote Sensing. DOI: https://doi.org/10.1080/01431161.2025.2559424

[32] Kayes, I., Shahriar, S.A., Hasan, M., et al., 2019. The relationships between meteorological parameters and air pollutants in an urban environment. Global Journal of Environmental Science and Management. 5(3), 265–278.

[33] Nagpure, B.R., Gurjar, A.S., Kumar, P., et al., 2010. Pollutant emissions from road vehicles in megacity Kolkata, India: Past and present trends. Indian Journal of Air Pollution Control. 10(2), 18–30.

[34] Ialongo, I., Virta, H., Eskes, H., et al., 2020. Comparison of TROPOMI/Sentinel-5 Precursor NO2 observations with ground-based measurements in Helsinki. Atmospheric Measurement Techniques. 13(1), 205–218.

[35] Wu, S., Huang, B., Wang, J., et al., 2021. Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals. Environmental Pollution. 273, 116456.

[36] ESA, 2024. Copernicus Sentinel-5P TROPOMI Level-2 Data Products. Available from: https://sentinels.copernicus.eu/data-products/-/asset_publisher/fp37fc19FN8F/content/tropomi-level-2-tropospheric-ozone (cited 10 April 2026).

[37] Gorelick, N., Hancher, M., Dixon, M., et al., 2017. Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment. 202, 18–27.

[38] Mustafa, A.A., Shokr, M.S., Alharbi, T., et al., 2025. Integration of Google Earth Engine and Aggregated Air Quality Index for Monitoring and Mapping the Spatio-Temporal Air Quality to Improve Environmental Sustainability in Arid Regions. Sustainability. 17(8), 3450.

[39] Gawhane, R.D., Nikam, M., Karri, D., et al., 2026. Interplay between anthropogenic emissions, monsoon circulation, and trace metal deposition in rainwater over a rapidly urbanizing region of southwestern India. Available from: https://www.researchgate.net/publication/398778575_Interplay_between_anthropogenic_emissions_monsoon_circulation_and_trace_metal_deposition_in_rainwater_over_a_rapidly_urbanizing_region_of_southwestern_India (cited 10 April 2026).

[40] Saw, G.K., Dey, S., Kaushal, H., et al., 2021. Tracking NO2 emission from thermal power plants in North India using TROPOMI data. Atmospheric Environment. 259, 118514.

[41] Levelt, P.F., Stein Zweers, D.C., Aben, I., et al., 2022. Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI. Atmospheric Chemistry and Physics Discussions. 22(5), 10319–10351.

[42] Zeb, N., Khokhar, M.F., Pozzer, A., et al., 2019. Exploring the temporal trends and seasonal behaviour of tropospheric trace gases over Pakistan by exploiting satellite observations. Atmospheric Environment. 198, 279–290.

[43] Aher, S.B., Raj, D., Nandi, S., 2025. Air pollution spikes and health risks resulting from wheat crop residue burning in central India. Journal of Health Science Research. 10(2), 43–53. DOI: https://doi.org/10.25259/jhsr_11_2025

[44] Aher, S.B., Raj, D., Saroj, P., et al., 2026. Short-term PM2.5 concentration increases outpace PM10 during Diwali in Madhya Pradesh, Central India. Water, Air, & Soil Pollution. 237, 777. DOI: https://doi.org/10.1007/s11270-026-09457-6

[45] Census of India, 2011. District Census Handbook: Singrauli. Office of the Registrar General & Census Commissioner, India: New Delhi, India.

[46] India Meteorological Department, 2024. Climatological Summaries of States Series—No. 27, IMD Report No. "MoES/IMD/CLI-REP(M.P.)/01(2024)/19": Climate of Madhya Pradesh. India Meteorological Department: Pune, India.

[47] NGT, 2020. National Green Tribunal Order on Critically Polluted Areas. National Green Tribunal, Government of India: New Delhi, India.

[48] Wang, W., Li, X., Cheng, Y., et al., 2024. Ozone pollution mitigation strategy informed by long-term trends of atmospheric oxidation capacity. Nature Geoscience. 17(1), 20–25.

[49] Deng, W., Wang, L., Huang, J., et al., 2026. Photochemical ozone formation-oriented VOC source apportionment and health economic burdens in Pearl River Delta. npj Clean Air. 2(1), 16.

[50] Aher, S.M., Trushna, T., Raj, D., et al., 2025. Impact of crop residue burning on ambient PM2.5 and PM10 dynamics in Jharkheda Village, Central India. CLEAN—Soil, Air, Water. 53(11), e70065. DOI: https://doi.org/10.1002/clen.70065

[51] Tanwar, N., Aher, S.B., Raj, D., et al., 2025. Investigating the Impact of Meteorological Parameters on PM2.5 Concentrations and Air Quality Index Using Regression Analysis. Journal of Atmospheric Science Research. 8(4), 10–18.

[52] Rahman, M.M., Kamruzzaman, M., Faridatul, M.I., et al., 2025. Spatiotemporal dynamics of urban air pollution in Dhaka City (2020–2024) using time-series sentinel-5P satellite images and Google earth engine (GEE). Environments. 12(8), 274.

[53] Ahmed, M.F., Rana, B., Halder, B., et al., 2025. Assessing atmospheric pollution in Asian major cities through sentinel-5p and google earth engine: A remote sensing approach. Theoretical and Applied Climatology. 156(9), 458.

[54] Halder, B., Rana, B., Ahmed, M.F., et al., 2026. Spatiotemporal air quality monitoring using Sentinel 5P in the arid region for environmental sustainability. Air Quality, Atmosphere & Health. 19(2), 23.

[55] Mondal, S., Singh, G., Jain, M.K., 2020. Spatio-temporal variation of air pollutants around the coal mining areas of Jharia Coalfield, India. Environmental Monitoring and Assessment. 192(6), 405.

[56] Pandey, B., Agrawal, M., Singh, S., 2014. Assessment of air pollution around coal mining area: Emphasizing on spatial distributions, seasonal variations and heavy metals, using cluster and principal component analysis. Atmospheric Pollution Research. 5(1), 79–86.

[57] Pathak, B., Bhuyan, P.K., 2022. Characteristics of atmospheric pollutants over the northeastern region of India. In: Singh, P.R. (Ed.). Asian Atmospheric Pollution: Sources, Characteristics and Impacts. Elsevier: Amsterdam, The Netherlands. pp. 367–392.

[58] Singh, S., Kumar, R., 2022. Air pollution and its associated impacts on atmosphere and biota health. In: Saxena, P., Shukla, A., Gupta, A.K. (Eds.). Extremes in Atmospheric Processes and Phenomenon: Assessment, Impacts and Mitigation. Springer Nature Singapore: Singapore. pp. 29–58.

[59] Kunchala, R.K., Singh, B.B., Karumuri, R.K., et al., 2022. Understanding the spatiotemporal variability and trends of surface ozone over India. Environmental Science and Pollution Research. 29(4), 6219–6236.

[60] Tripathi, S.N., Pattnaik, A., Dey, S., 2007. Aerosol indirect effect over Indo-Gangetic plain. Atmospheric Environment. 41(33), 7037–7047.

[61] Singh, N., Banerjee, T., Raju, M.P., et al., 2018. Aerosol chemistry, transport, and climatic implications during extreme biomass burning emissions over the Indo-Gangetic Plain. Atmospheric Chemistry and Physics. 18(19), 14197–14215.

[62] Li, Z., Lau, W.K.-M., Ramanathan, V., et al., 2016. Aerosol and monsoon climate interactions over Asia. Reviews of Geophysics. 54(4), 866–929.

[63] Haywood, J., 2021. Atmospheric aerosols and their role in climate change. In: Letcher, T.M. (Ed.). Climate Change: Observed Impacts on Planet Earth. Elsevier: Amsterdam, The Netherlands. pp. 645–659.

[64] Sun, J., Veefkind, J.P., Van Velthoven, P., et al., 2018. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index. Atmospheric Measurement Techniques. 11(9), 5261–5277.

[65] Kumari, M., Bhattacharya, T., 2023. Controlling Air and Metal Pollution in Industrial Area Singrauli, India: Role. In Springer Proceedings in Earth and Environmental Sciences Sustainable Advanced Technologies for Industrial Pollution Control. Springer Nature Switzerland: Cham, Switzerland. pp. 211–227.

[66] CDSE, 2023. Sentinel-5P: Monitoring our atmosphere. Available from: https://dataspace.copernicus.eu/data-collections/copernicus-sentinel-missions/sentinel-5p (cited 10 April 2026).

[67] Yadav, S.K., Kompalli, S.K., Gurjar, B.R., et al., 2021. Aerosol number concentrations and new particle formation events over a polluted megacity during the COVID-19 lockdown. Atmospheric Environment. 259, 118526.

[68] Kumar, P., Mann, M., Gupta, N.C., 2019. Regression analysis of aerosol optical properties with long-term MODIS data using forward selection method. Meteorology and Atmospheric Physics. 131(4), 1121–1131.

[69] Sinha, V., Kumar, V., Sarkar, C., 2014. Chemical composition of pre-monsoon air in the Indo-Gangetic Plain measured using a new air quality facility and PTR-MS: High surface ozone and strong influence of biomass burning. Atmospheric Chemistry and Physics. 14(12), 5921–5941.

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How to Cite

Kumar, B., & Gupta, N. C. (2026). Spatiotemporal Assessment of Atmospheric Trace Gases over Singrauli Coal-Industrial Cluster Using Sentinel-5P TROPOMI and Google Earth Engine (2019–2024). Journal of Atmospheric Science Research, 9(3), 1–19. https://doi.org/10.30564/jasr.v9i3.13463

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Vol. 9 , Iss. 3 (July 2026): In Progress

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Copyright © 2026 Bhupendra Kumar, Naresh Chandra Gupta

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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