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Dergiler / Türkiye Uzaktan Algılama Dergisi / 2025 / Volume: 7 Issue: 2

Common air quality modelling methods and applications: A review paper

Huda Jumaah(University of Tabriz. Iran)0000-0002-3438-3033
Khalil Valizadeh Kamran(University of Tabriz. Iran)0000-0003-4648-842X
Abolfazl Ghanbari(University of Tabriz)0000-0002-0145-0279
Mehrdad Jeihouni(University of Tabriz)0000-0002-8710-6793
Sayfa
—
Yayın Tarihi
2025-12-30
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It fills the research gap concerning the assessment of such mixed methods that may increase the accuracy of the models and their applicability in the real world.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Standard air quality modeling techniques get a full assessment through the comparison between deterministic approaches and statistical and machine learning-based methods.
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Temel Bulgular & Veri:The evaluation process discusses box model effectiveness in particular conditions, along with computational strategies that can advance its predictive capabilities.
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Sonuç & Katkı:It fills the research gap concerning the assessment of such mixed methods that may increase the accuracy of the models and their applicability in the real world.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:GIS · Remote sensing · Air quality

Abstract

Standard air quality modeling techniques get a full assessment through the comparison between deterministic approaches and statistical and machine learning-based methods. This review assesses both advantages and disadvantages of modeling techniques for standard air quality analysis according to their specific environmental applications. The air quality modeling field utilizes box models for creating basic models of pollutant movement inside air volume boundaries. Emission, transport, transformation, and removal of pollutants are analyzed to determine pollutant concentrations. These processes take place in a box, in which uniform mixing of pollutants is presumed. Based on their simple design, box models make them useful tools for determining pollutant concentrations throughout urban areas. The evaluation process discusses box model effectiveness in particular conditions, along with computational strategies that can advance its predictive capabilities. The study combines existing research and practical applications with the goal of supporting researchers and environmental agencies alongside policymakers in picking suitable modeling systems for air quality assessment and management. A summary of modern advances together with existing obstacles in this study offers essential knowledge to researchers, policymakers, and environmental regulators to perform strategic air pollution evaluations. In contrast to the earlier reviews, which find the general scope of the path modeling types, the present research puts specific emphasis on the less-researched line joining the box models with more distinct machine learning methodologies to increase the level of urban air quality forecasting. It fills the research gap concerning the assessment of such mixed methods that may increase the accuracy of the models and their applicability in the real world.

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Bu Makaleye Atıf Yap

Jumaah, H., Kamran, K. V., Ghanbari, A., Jeihouni, M. (2025). Common air quality modelling methods and applications: A review paper. Türkiye Uzaktan Algılama Dergisi, Volume: 7 Issue: 2. https://doi.org/10.51489/tuzal.1710679

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