A comparison of the statistical distribution of air pollution concentrations in Sinop, Turkey
Yazarlar (1)
Doç. Dr. Demet HAN AYDIN Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Environment Protection Engineering (Q4) | ||
| Dergi ISSN | 0324-8828 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2024 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2024 |
| Cilt / Sayı / Sayfa | 50 / 4 / 47–68 | DOI | 10.37190/epe240403 |
| Makale Linki | https://doi.org/10.37190/epe240403 | ||
| UAK Araştırma Alanları |
İstatistiksel Analiz
Teorik İstatistik
Uygulamalı İstatistik
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| 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. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 4 |
| Scopus | 3 |
| Google Scholar | 4 |