10.57647/j.jap.2025.0901.04

Enhanced Monitoring of Air Pollution in Asalouyeh, Iran Using Sentinel-5 Satellite Imagery and Google Earth Engine

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  • Hossein Torabi1,
  • Zahra Abedi*2,
  • Barat Mojaradi3,
  • Zahra Azizi4,
  1. Department of Energy Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  2. Department of Environmental Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  3. School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, Iran.
  4. Department of Remote Sensing and GIS, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Received: 2025-01-12

Revised: 2025-05-30

Accepted: 2025-06-21

Published in Issue 2025-08-28

Copyright (c) 2025 Hossein Torabi, Zahra Abedi, Barat Mojaradi, Zahra Azizi (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Torabi, H., Abedi, Z., Mojaradi, B., & Azizi, Z. (2025). Enhanced Monitoring of Air Pollution in Asalouyeh, Iran Using Sentinel-5 Satellite Imagery and Google Earth Engine. Anthropogenic Pollution, 9(1). https://doi.org/10.57647/j.jap.2025.0901.04
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Abstract

Asalouyeh, a rapidly industrializing port city in Iran, faces significant environmental challenges due to air pollution resulting from extensive industrial activities. This study employs Sentinel-5 satellite data and the Google Earth Engine (GEE) platform to assess the spatial and temporal distribution of key air pollutants, including nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), and aerosols, over the period from 2019 to 2023. By leveraging the advanced capabilities of remote sensing and cloud-based geospatial analysis, we processed satellite imagery to monitor atmospheric pollution levels and identify pollution hotspots. The findings indicate a notable increase in pollutant concentrations, particularly NO₂, CO, and SO₂. NO₂ levels increased from a range of 0.0022–0.0071 µmol/m² in 2019 to 0.0025–0.0099 µmol/m² in 2023, while CO concentrations rose from 0.63–0.88 ppm in 2019 to 0.58–0.86 ppm in 2023. Similarly, SO₂ concentrations increased significantly, from 0.008–0.04 ppm in 2019 to 0.01–0.06 ppm in 2023. Aerosol Optical Depth (AOD) values also showed an upward trend, reaching a peak of -0.034 to 0.8  in 2023 compared to -0.81 to 0.016  in 2019. The results demonstrate a clear correlation between increasing pollution levels and industrial expansion in Asalouyeh, with the highest concentrations observed near petrochemical complexes and transportation corridors. The identified pollution hotspots provide critical insights for policymakers, enabling targeted interventions such as emission control regulations, improved industrial waste management, and enhanced monitoring infrastructure. By integrating Sentinel-5 data with GEE’s cloud-based processing capabilities, this study establishes a scalable and cost-effective framework for continuous air quality assessment in industrial zones, addressing the limitations of traditional ground-based monitoring. These findings contribute to a growing body of research on industrial air pollution in the Persian Gulf region, emphasizing the urgent need for stringent environmental policies and sustainable industrial practices to mitigate pollution-related health risks.

Keywords

  • Industrial Emissions,
  • Atmospheric Pollutants,
  • Remote Sensing,
  • Air Quality,
  • Geospatial,
  • Persian Gulf
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References

  1. Abbasi, S., Keshavarzi, B., Moore, F., Mahmoudi, M.R. (2018). Fractionation, source identification, and risk assessment of potentially toxic elements in street dust of the most important center for petrochemical products, Asaluyeh County, Iran. Environmental Earth Sciences, 77(19), 673.
  2. Abbasi, S., Keshavarzi, B., Moore, F., Turner, A., Kelly, F. J., Oliete Dominguez, A., & Jaafarzadeh, N. (2019). Distribution and potential health impacts of microplastics and micro rubbers in air and street dusts from Asaluyeh County, Iran. Environmental Pollution, 244, 153-164.
  3. Alvim, D. S., Chiquetto, J. B., D’Amelio, M. T. S., Khalid, B., Herdies, D. L., Pendharkar, J., Corrêa, S. M., Figueroa, S. N., Frassoni, A., & Capistrano, V. B. (2021). Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations. Remote Sensing, 13(11), 2231.
  4. Alahverdi, M., & Savabieasfahani, M. (2012). Metal pollution in seaweed and related sediment of the Persian Gulf, Iran. Bulletin of environmental contamination and toxicology, 88, 939-945.
  5. Ashrafi, K., Shafiepour, M., Salimian, M., & Momeni, M. R. (2012). Determination and Dispersion Modeling of VOC Emissions from Liquid Storage Tanks in Asalouyeh Zone. Journal of Environmental Studies, 38(3), 47-60.
  6. Bechle, M. J., Millet, D. B., & Marshall, J. D. (2013). Remote sensing of exposure to NO2: Satellite versus ground-based measurement in a large urban area. Atmospheric Environment, 69, 345-353.
  7. Campbell-Lendrum, D., & Prüss-Ustün, A. (2019). Climate change, air pollution, and noncommunicable diseases. Bulletin of the World Health Organization, 97(2), 160.
  8. Dockery, D. W., Pope, C. A., Xu, X., Spengler, J. D., Ware, J. H., Fay, M. E., Ferris, B. G. Jr., & Speizer, F. E. (1993). An association between air pollution and mortality in six US cities. New England Journal of Medicine, 329, 1753–1759.
  9. Duncan, B. N., Prados, A. I., Lamsal, L. N., Liu, Y., Streets, D. G., Gupta, P., ... & Ziemba, L. D. (2014). Satellite data of atmospheric pollution for US air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid. Atmospheric environment, 94, 647-662.
  10. Guo, L., Luo, J., Yuan, M., Huang, Y., Shen, H., & Li, T. (2019). The influence of urban planning factors on PM2.5 pollution exposure and implications: A case study in China based on remote sensing, LBS, and GIS data. Science of The Total Environment, 659, 1585-1596.
  11. Ghaderi, B., Safaval, P. A., & Azizi, Z. (2023). Monitoring changes in air pollution using Sentinel-5 data. Intercontinental Geoinformation Days, 7, 71-74.
  12. Hanna, W.W., (1993). Improving Forage Quality by Breeding, International Crop Science I, Wiley Online Library , Chapter 88.
  13. Hou, Y., Wang, L., Zhou, Y., Wang, S., Liu, W., & Zhu, J. (2019). Analysis of the tropospheric column nitrogen dioxide over China based on satellite observations during 2008–2017. Atmospheric Pollution Research, 10(2), 651-655.
  14. Jodhani, K.H., Gupta, N., Parmar, A.D., Bhavsar, J.D., Patel, H., Patel, D., Singh, S.K., Mishra, U., Omar, P.J., (2024). Synergizing google earth engine and earth observations for potential impact of land use/ land cover on air quality, Results in Engineering,Vol. 22, 102039.
  15. Kampa, M., & Castanas, E. (2008). Human health effects of air pollution. Environmental pollution, 151(2), 362-367.
  16. Keshmiri, S., Pordel, S., Raeesi, A., Nabipour, I., Darabi, H., Jamali, S., ... & Farrokhi, S. (2018). Environmental pollution caused by gas and petrochemical industries and its effects on the health of residents of Assaluyeh Region, Irani-an energy capital: a review study. Iranian South Medical Journal, 21(2), 162-185.
  17. Khorrami, B., Argany, M., Shabaninia, F., & Naderi, A. (2019). Land surface temperature anomalies in response to changes in forest cover. International Journal of Engineering and Geosciences, 4(3), 149-156.
  18. Li N, Chen G, Liu F, Mao S, Liu Y, Liu S, Mao Z, Lu Y, Wang C, Guo Y, Xiang H, Li S (2020) Associations between long-term exposure to air pollution and blood pressure and effect modifications by behavioral factors. Environment Research, Vol. 182:109109.
  19. Lohmann, U., & Feichter, J. (2005). Global indirect aerosol effects: A review. Atmospheric Chemistry and Physics, 5, 715–737.
  20. Mahowald, N. (2011). Aerosol Indirect Effect on Biogeochemical Cycles and Climate. Science, 334(6057), 794–796.
  21. Mayer, H. (1999). Air pollution in cities. Atmospheric environment, 33(24-25), 4029-4037.
  22. Nacef, L., El-Geziry, T. M., Shaltout, M., & Hoteit, I. (2016). Variability and decadal evolution of temperature and salinity in the Mediterranean Sea surface. International Journal of Engineering and Geosciences, 1(1), 20-29.
  23. Omar, P.J., Kumar, V., (2021) Land surface temperature retrieval from TIRS data and its relationship with land surface indices. Arabian Journal Geoscience, Vol. 14:1897.
  24. Safarianzengir, V., Sobhani, B., Yazdani, M. H., & Kianian, M. (2020). Monitoring, analysis, and spatial and temporal zoning of air pollution (carbon monoxide) using Sentinel-5 satellite data for health management in Iran, located in the Middle East. Air Quality, Atmosphere & Health, 13(6), 709-719.
  25. Shikwambana, L., Mhangara, P., & Mbatha, N. (2020). Trend analysis and first-time observations of sulfur dioxide and nitrogen dioxide in South Africa using TROPOMI/Sentinel-5 P data. International Journal of Applied Earth Observation and Geoinformation, 91, 102130.
  26. Srivastava, A., Thakur, A.K., Garg, R.D., (2025) An assessment of the spatiotemporal dynamics and seasonal trends in NO₂ concentrations across India using advanced statistical analysis, Remote Sensing Applications: Society and Environment, Vol. 37: 101490.
  27. Soleimani, M., Argany, M., Papi, R., & Amiri, F. (2021). Satellite aerosol optical depth prediction using data mining of climate parameters. Physical Geography Research, 53(3), 319-333.
  28. Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., & Midgley, P. M. (2013). Climate Change 2013: The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
  29. Weng, Z., Wang, Y., Yang, X., Cheng, C., Tan, X., & Shi, L. (2022). Effect of cleaner residential heating policy on air pollution: A case study in Shandong Province, China. Journal of Environmental Management, 311, 114847.
  30. World Health Organization (WHO). (2016). Ambient air pollution: A global assessment of exposure and burden of disease. Retrieved from
  31. World Health Organization (WHO). (2024). Air pollution. Retrieved from https://www.who.int/health-topics/air-pollution#tab=tab_1
  32. https://sentiwiki.copernicus.eu/web/copernicus-programme.