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Journals / Bilişim Teknolojileri Dergisi / 2026 / Cilt: 17 Sayı: 3

Air Quality Prediction with Data Mining: Istanbul Example

Veri Madenciliği ile Hava Kalitesi Tahmini: İstanbul Örneği

Nesibe Manav Mutlu(NISANTASI UNIVERSITY)0000-0002-7853-6337
Eyup Burak Atahanlı(NİŞANTAŞI ÜNİVERSİTESİ)0009-0003-1318-7193
Pages
139–158
Publication Date
2024-07-31
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AI Summary & Key Takeaways

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

Recommendations have been made based on these predictions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Statistical tests were carried out using various air pollution data from different districts of Istanbul in order to reveal the extent of the air pollution problem, which started with the industrial revolution and has reached dangerous levels today, to determine the relationship between possible causes and to offer solution suggestions.
📊
Key Findings & Data:Based on the data received, predictions were made using the Prophet model on a district basis for the years 2023-2025.
💡
Conclusion & Impact:Recommendations have been made based on these predictions.
🔬Design:Modeling & Simulation
📍Scope:2023-2025 Verileri
⚙️Variables:hava kirliliği tahmini · veri madenciliği · hava kalitesi analizi

Abstract

Statistical tests were carried out using various air pollution data from different districts of Istanbul in order to reveal the extent of the air pollution problem, which started with the industrial revolution and has reached dangerous levels today, to determine the relationship between possible causes and to offer solution suggestions. In addition, machine learning techniques have been used to predict the magnitude of air pollution that may occur in the coming years. Based on the data received, predictions were made using the Prophet model on a district basis for the years 2023-2025. Recommendations have been made based on these predictions.

Özet

Sanayi devrimi ile başlayan ve günümüzde tehlikeli boyutlara ulaşan hava kirliliği sorununun boyutunu ortaya çıkarmak, olası nedenleri arasındaki ilişkiyi belirlemek ve çözüm önerileri sunmak amacıyla İstanbul’un farklı ilçelerinden alınan çeşitli hava kirliliği verileri kullanılarak istatistiksel testler gerçekleştirilmiştir. Ayrıca önümüzdeki yıllarda oluşabilecek hava kirliliğin büyüklüğünü tahmin etmek için makine öğrenmesi teknikleri de kullanılmıştır. Alınan verilere dayanarak 2023-2025 yılları için ilçeler bazında Prophet modeli kullanarak tahminler yapılmıştır. Bu tahminlere dayanarak önerilerde bulunulmuştur.

🔖

Cite This Article

Mutlu, N. M., Atahanlı, E. B. (2024). Air Quality Prediction with Data Mining: Istanbul Example. Bilişim Teknolojileri Dergisi, Cilt: 17 Sayı: 3, 139–158. https://doi.org/10.17671/gazibtd.1426942

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