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Journals / Türkiye Uzaktan Algılama Dergisi / 2026 / Volume: 7 Issue: 1

Spatio-temporal analysis of impact of environmental parameters on air pollution in districts of Tabriz Metropolis: A seasonal perspective

Mir Ali Seyed Mosaffayi(University of Tabriz)0009-0008-5670-0432
Sajjad Moshiri(University of Tabriz)0009-0007-7148-5948
Bohadir Abdumuminov(Termez state university)0000-0001-7903-0680
Khalil Valizadeh Kamran(University of Tabriz. Iran)0000-0003-4648-842X
Bakhtiar Feizizadeh(University of Tabriz)0000-0002-3367-2925
Pages
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Publication Date
2025-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Overall, both SVCA and MLST simultaneously influence Tabriz's air pollution, with SVCA playing a significant role particularly in spring and winter, and MLST being a key factor during summer and winter.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Air pollution has become a significant challenge in Tabriz over the years, prompting this study to investigate the spatio-temporal relationships between environmental parameters - sum of vegetation cover area (SVCA) and mean land surface temperature (MLST) and air pollutants (CO, SO₂, NO₂) across the ten districts of Tabriz metropolitan area on a seasonal basis.
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Key Findings & Data:The data used in this research were derived from satellite images on the Google Earth Engine (GEE) platform, with SVCA data obtained from Sentinel-2, MLST from Landsat-8, and air pollutants from Sentinel-5 images.
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Conclusion & Impact:Overall, both SVCA and MLST simultaneously influence Tabriz's air pollution, with SVCA playing a significant role particularly in spring and winter, and MLST being a key factor during summer and winter.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Environmental parameters · Air pollutants · Modified geographically weighted regression (MGWR)

Abstract

Air pollution has become a significant challenge in Tabriz over the years, prompting this study to investigate the spatio-temporal relationships between environmental parameters - sum of vegetation cover area (SVCA) and mean land surface temperature (MLST) and air pollutants (CO, SO₂, NO₂) across the ten districts of Tabriz metropolitan area on a seasonal basis. The data used in this research were derived from satellite images on the Google Earth Engine (GEE) platform, with SVCA data obtained from Sentinel-2, MLST from Landsat-8, and air pollutants from Sentinel-5 images. The Modified Geographically Weighted Regression (MGWR) model was employed to analyze the relationships between environmental parameters and air pollutants, with environmental parameters as independent variables and air pollutants as dependent variables. Data analysis reveals a significant and strong relationship between the SVCA and air pollutants during spring and winter, with an R2 value exceeding 0.7, while this relationship is not significant in autumn. Additionally, the MLST has a clear and substantial impact on air pollution during summer and winter. From a spatial distribution perspective, western districts of Tabriz (6, 7, and 4) exhibit the strongest correlation between environmental parameters and air pollutants due to their proximity to heavy industries, whereas eastern districts (5, 9, and 2) show the weakest correlation. Overall, both SVCA and MLST simultaneously influence Tabriz's air pollution, with SVCA playing a significant role particularly in spring and winter, and MLST being a key factor during summer and winter.

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Cite This Article

Mosaffayi, M. A. S., Moshiri, S., Abdumuminov, B., Kamran, K. V., Feizizadeh, B. (2025). Spatio-temporal analysis of impact of environmental parameters on air pollution in districts of Tabriz Metropolis: A seasonal perspective. Türkiye Uzaktan Algılama Dergisi, Volume: 7 Issue: 1. https://doi.org/10.51489/tuzal.1649288

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