Ankara'da Hava Kirliliği Risk Deseninin Anlaşılması:Antropojenik ve Meteorolojik Etkiler

Year 2024, Volume: 9 Issue: 2, 815 - 830, 26.12.2024

Nuriye Ebru Yıldız , Şükran Şahin

https://doi.org/10.30785/mbud.1457692

Abstract

Ankara kent merkezinde hava kirliliği riskinin belirlenmesi amacıyla antropojenik ve meteorolojik parametrelere ilişkin nicel ölçümleri içeren bir dizi analiz süreci yürütülmüştür. Nicel sonuçlar normalize edildikten sonra, her bir parametreye ilgili kategorik değerler atanmıştır. Bu parametreler, ağırlık puanları dikkate alınarak üst üste bindirme tekniği ile çakıştırılmıştır. Araştırma bulgularına göre, Çankaya'nın neredeyse tamamı ile Yenimahalle'nin güneyi ve Etimesgut'un doğusunun sırasıyla "Çok Yüksek (5)" ve "Yüksek (4)" düzeylerinde hava kirliliği tespit edilmiştir. Sonuçlar, toplam çalışma alanının %19,78'inde "çok yüksek", %28,92'sinde "yüksek", %30,33'ünde "orta", %16,68'inde "düşük" ve %4,29'unda "çok düşük" hava kirliliği risk düzeylerinin bulunduğunu göstermektedir. Gelecek çalışmalarda, araştırma alanındaki diğer çevresel faktörlere ve gereksinimlere bağlı olarak yönteme farklı ağırlıklarda farklı parametreler eklenebilir.

Keywords

Hava kalitesi, insan etkileri, kent planlama, coğrafi bilgi sistemleri

Understanding Air Pollution Risk Patterns in Ankara: Influence of Human and Meteorological Factors

Abstract

In order to determine the air pollution risk in Ankara city centre, a series of analyses including quantitative measurements of anthropogenic and meteorological parameters were carried out. After the quantitative results were normalised, relevant categorical values were assigned to each parameter. These parameters were overlaid with the overlapping technique by considering their weight scores. According to the research findings, almost all of Çankaya, the south of Yenimahalle and the east of Etimesgut were found to have "Very High (5)" and "High (4)" levels of air pollution, respectively. The results show that 19.78% of the total study area has "very high", 28.92% "high", 30.33% "medium", 16.68% "low" and 4.29% "very low" air pollution risk levels. In future studies, different parameters with different weights can be added to the method based on other environmental factors and requirements in the research area.

Keywords

Air quality, human effects, urban planning, geographic information systems

Thanks

In this study, the boundaries of the research were determined based on the urban core boundary presented in the doctoral thesis (Yıldız, 2022). However, the air pollution modeling method used in this study differs from the one used by Yıldız (2022).

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