K-means clustering of precipitation in the Black Sea Region, Türkiye
Yazarlar (3)
Doç. Dr. Aslı Ülke Ondokuz Mayıs Üniversitesi, Türkiye
Gürkan Kır
Ondokuz Mayis Üniversitesi, Türkiye
Ondokuz Mayis Üniversitesi, Türkiye
Doç. Dr. Utku ZEYBEKOĞLU Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Idojaras (Q4) | ||
| Dergi ISSN | 0324-6329 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 09-2025 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2025 |
| Cilt / Sayı / Sayfa | 129 / 3 / 339–355 | DOI | 10.28974/idojaras.2025.3.5 |
| Makale Linki | https://doi.org/10.28974/idojaras.2025.3.5 | ||
| UAK Araştırma Alanları |
Hidroloji
Su Kaynakları
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| Özet |
| In recent years, there has been a significant uptick in the frequency of disastersstemming from the impacts of global climate change. In response, both nationally andinternationally, various studies are being conducted to mitigate these effects. Classifyingregions affected by climate change into similar classes based on climate parameters iscrucial for applying consistent methodologies in studies conducted within these regions.This approach will help determine the most appropriate strategies for mitigating the effectsof climate change in these regions. The study utilized observational records of annualprecipitation from 31 stations in the Black Sea Region, sourced from the Turkish StateMeteorological Service, covering the data spans the period between 1982 and 2020. Clusteranalysis was conducted using the k-means algorithm. The optimal cluster among thoseformed was determined through the silhouette index analysis. The study suggests that theoptimal number of clusters is 2. |
| Anahtar Kelimeler |
| clustering | k-means | precipitation | silhouette analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 2 |