Ankara İli Meteoroloji Parametrelerinin Hava Kirliliği Üzerindeki Etkilerinin Regresyon Analizi ile İncelenmesi

Year 2023, , 135 - 150, 31.12.2023

Ceren Ünal , Gamze Özel

https://doi.org/10.51541/nicel.1231668

Abstract

Hava kirliliği ile ilişkili riskleri daha iyi anlamak ve yönetmek için, hava kirliliği eğiliminin doğru bir şekilde tahmin edilmesi çok önemlidir. Ankara, Türkiye'nin İç Anadolu Bölgesi'nin merkezinde yer almaktadır. Hızlı nüfus artışı, düzensiz kentleşme ve artan sanayileşme nedeniyle, Ankara'da son yıllarda hava kirliliği ciddi boyutlara ulaşmıştır. Bu çalışma kapsamında, 2018-2021 yılları arasında Ankara iline ait bağıl nem, rüzgâr hızı, rüzgâr yönü, hava sıcaklığı, hava basıncı biçimindeki meteoroloji parametrelerinin, partiküler madde (PM10), kükürt dioksit (SO2), azot (NO), azot dioksit (NO2), azot oksit (NOX), karbon monoksit (CO) biçimindeki hava kirliliği göstergeleri üzerindeki etkilerinin incelenmesi amaçlanmıştır. Meteoroloji parametreleri ile hava kirlilik gösterge değerleri arasındaki ilişkilerin istatistiksel anlamlılığı regresyon analizinden yararlanılmıştır. Bu amaçla, PM10, SO2, NO, NOX, CO verilerine ayrı ayrı regresyon analizleri, meteoroloji parametreleri bağımsız değişkenler olarak alınarak uygulanmıştır. Elde edilen sonuçlar, PM10, SO2, NO, NOX, CO düzeyi ile meteorolojik parametreler olan rüzgâr yönü, rüzgâr hızı, bağıl nem, hava sıcaklığı, hava basıncı arasında negatif yönde ilişki olduğunu göstermiştir.

Keywords

Regresyon Analizi, Hava Kirliliği, Emisyon, Ankara, Regression Analysis, Air Pollution, Emission

Investigation of the Effects of Ankara Meteorological Parameters on Air Pollution by Regression Analysis

Abstract

To better understand and manage the risks associated with air pollution, an accurate estimation of the air pollution trend is crucial. Ankara is located in the centre of Turkey's Central Anatolia Region. Due to rapid population growth, irregular urbanization, and increasing industrialization, air pollution has reached serious levels in Ankara in recent years. Within the scope of this study, meteorological parameters in the form of relative humidity, wind speed, wind direction, air temperature, air pressure, particulate matter (PM10), sulfur dioxide (SO2), nitrogen (NO), nitrogen dioxide, in the province of Ankara between 2018-2021. Nitrogen dioxide (NO2), nitrogen oxide (NOX), and carbon monoxide (CO) in the form of air pollution indicators are the form of examining the effects. The statistical significance of the relations between meteorological parameters and air pollution indicator values benefited from the regression analysis. For this purpose, regression analyses were applied to PM10, SO2, NO, NOX, and CO data separately, taking meteorological parameters as independent variables. The results showed that there is a negative relationship between PM10, SO2, NO, NOX, and CO levels and meteorological parameters such as wind direction, wind speed, relative humidity, air temperature, and air pressure.

Keywords

Regression Analysis, Air Pollution, Emission, Ankara

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