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ASSESSING AIR QUALITY IN UZBEKISTAN USING MODERN GIS TECHNOLOGIES

Authors

DOI:

https://doi.org/10.56292/SJFSU/vol31_iss6/a280

Keywords:

GIS, air quality, Sentinel-5P, environmental monitoring, Uzbekistan, NO₂, PM2.5, CO, numerical analysis.

Abstract

The article analyzes the possibilities of using modern geographic information systems (GIS) technologies in assessing air quality in Uzbekistan on a scientific basis. The study studied air pollution indicators (NO, CO, PM2.5) for January-June 2025 based on data from the Sentinel-5P satellite, the Copernicus Atmospheric Monitoring Service, the OpenAQ platform, and the Google Earth Engine system. The results showed that the highest levels of air pollution are observed in the cities of Tashkent, Navoi, Angren, and Fergana. The article highlights the practical importance of GIS technologies in environmental analysis, forecasting, and management.

 

Author Biographies

  • Djurayev Mansur Egamberdiyevich, yoq

    yoq

  • Kenjayev Aziz Abitqulovich, yo'q

    yo'q

  • Aripov Islomjon Kaxramonovich, Guliston davlat universiteti

    Guliston davlat universiteti

  • İsa Cürebal, Balikesir universiteti

    Balikesir universiteti

References

1. Copernicus Open Access Hub – Sentinel-5P Data. (2025). https://scihub.copernicus.eu/

2. OpenAQ Global Air Quality Database. (2025). https://openaq.org

3. NASA GES DISC Giovanni Platform. (2025). https://giovanni.gsfc.nasa.gov

4. IQAir Earth Air Quality Map. (2025). https://www.iqair.com/earth

5. Google Earth Engine Developer Platform. (2025). https://earthengine.google.com

6. World Bank — Air Quality Assessment for Tashkent and the Roadmap for Improving Air Quality Management in Uzbekistan (2024).

7. Ministry of Ecology, Environmental Protection and Climate Change of the Republic of Uzbekistan — National Report on the State of the Environment in Uzbekistan (2024)

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Published

2026-02-03

How to Cite

ASSESSING AIR QUALITY IN UZBEKISTAN USING MODERN GIS TECHNOLOGIES. (2026). Scientific Journal of the Fergana State University, 31(6), 280. https://doi.org/10.56292/SJFSU/vol31_iss6/a280