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Journals / Türkiye Uzaktan Algılama Dergisi / 2026 / Volume: 8

A remote sensing-based methodological approach to characterize the association between fuel prices and air pollution

Hakan Oktay Aydınlı(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0001-9596-0079
Saye Nihan Çabuk(ESKISEHIR TECHNICAL UNIVERSİTY)0000-0003-4859-2271
Oytun Meçik(ESKİŞEHİR OSMANGAZİ ÜNİVERSİTESİ)0000-0002-7409-6266
Pages
—
Publication Date
2026-03-25
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AI Summary & Key Takeaways

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

Based on these findings, the current study highlight the effective use of satellite-based remote sensing for monitoring CO levels in the atmosphere.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Carbon monoxide (CO) is recognized as a major source of air pollution that, depending on the degree to which it is inhaled, can potentially cause cardiovascular diseases.
📊
Key Findings & Data:The aim of the present study is to investigate the relationship between fuel prices and vehicle-based CO emissions in Türkiye in 2022.
💡
Conclusion & Impact:Based on these findings, the current study highlight the effective use of satellite-based remote sensing for monitoring CO levels in the atmosphere.
🔬Design:Research Article
📍Scope:2022 Verileri
⚙️Variables:Remote sensing · Fuel prices · Air pollution

Abstract

Carbon monoxide (CO) is recognized as a major source of air pollution that, depending on the degree to which it is inhaled, can potentially cause cardiovascular diseases. CO is primarily produced as a by-product of the incomplete combustion of gasoline and diesel in vehicles. The aim of the present study is to investigate the relationship between fuel prices and vehicle-based CO emissions in Türkiye in 2022. For that purpose, CO levels were monitored by remote sensing data from S5P TROPOspheric Monitoring Instrument (TROPOMI). The spatial distribution of CO levels was computed from 2019 to 2022 by employing the Google Earth Engine Code Editor. A linear regression analysis was performed to explain the relationship between fuel consumption and CO levels. The analysis revealed a negative association between fuel prices and CO emissions, with coefficients of r = –0.71 (R² = 0.4084) for gasoline and r = –0.64 (R² = 0.5047) for diesel, respectively. The study has focused on both economic aspects and remote sensing techniques in terms of the impact of fuel prices on air quality. Based on these findings, the current study highlight the effective use of satellite-based remote sensing for monitoring CO levels in the atmosphere.

🔖

Cite This Article

Aydınlı, H. O., Çabuk, S. N., Meçik, O. (2026). A remote sensing-based methodological approach to characterize the association between fuel prices and air pollution. Türkiye Uzaktan Algılama Dergisi, Volume: 8. https://doi.org/10.51489/tuzal.1772024

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