A COMPARISON OF THE STATISTICAL DISTRIBUTIONS OF AIR POLLUTION CONCENTRATIONS IN SINOP, TURKEY
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Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Technical Univ Wroclaw
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The increasing population and industrialization are the reasons for environmental and air pollution around the world. Air pollution is a major threat, especially to human health, both biological and economic. Therefore, determining the properties of air pollutants is very important for researchers and practitioners working in this field. In this study, the statistical distributions of some air pollutants are determined using the Gumbel, Weibull, generalized Pareto, log-normal, gamma, Rayleigh, and inverse Weibull distributions. The data was obtained from stations Boyabat and Merkez stations in Sinop province in 2017. The Kolmogorov-Smirnov test was used to determine the underlying distributions of the air pollution data. Then we use the root mean square error and coefficient of determination criteria to determine which distribution better fits the air pollution data. Finally, numerical results have shown that the generalized Pareto distribution demonstrates the best overall modeling performance, followed by log-normal and inverse Weibull distributions.
Açıklama
Anahtar Kelimeler
Probability-Distribution, Particulate Matter, Pm10 Concentration, Model
Kaynak
Environment Protection Engineering
WoS Q Değeri
Q4
Scopus Q Değeri
Q4
Cilt
50
Sayı
4
