Defining rainfall intensity clusters in Turkey by using the fuzzy c-means algorithm
Yazarlar (2)
Doç. Dr. Utku ZEYBEKOĞLU Sinop Üniversitesi, Türkiye
Doç. Dr. Aslı Ülke Ondokuz Mayıs Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Geofizika (Q4)
Dergi ISSN 0352-3659 Dergi Bilgileri (2020)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 12-2020
Kabul Tarihi Yayınlanma Tarihi 23-12-2020
Cilt / Sayı / Sayfa 37 / 2 / 181–195 DOI 10.15233/gfz.2020.37.8
Makale Linki http://dx.doi.org/10.15233/gfz.2020.37.8
UAK Araştırma Alanları
Hidroloji
Özet
Turkey has seven traditionally accepted climatic zones that are defined primarily by maritime and topographic influences. Across these zones, the annual amount of rainfall, including its intensity and its seasonal distribution, vary considerably. These variations, which impact on both urban and rural communities, including the occurrence of water shortages and flash flooding events, are increasing in both frequency and magnitude due to global warming and climate change. Several types of climate occur in Turkey where climate zones have been defined with various methodologies. To better understand rainfall intensity patterns across Turkey, this study used the Fuzzy C Means (FCM) algorithm to define their spatial distribution. In the first stage, the annual maximum rainfall intensity records for periods ranging from 30 to 78 years were obtained from 95 stations operated by the Turkish State Meteorological Service, and the longitude, latitude and altitude data for the stations were compiled for cluster analysis. Secondly, all rainfall intensities and geographical values were normalized, and in the third stage, the FCM algorithm was applied. The comparison of annual maximum rainfall intensities revealed five clusters. Four clusters were identified as discrete zones and one was identified as a transitional zone. Weather stations located in different geographical regions sometimes fell into the same clusters. In other words, rainfall events of similar intensity can occur in different climatic zones. This study, which brought a different perspective to clustering studies, showed that rainfall intensity values can be successfully analyzed at a national scale with the ...
Anahtar Kelimeler
Climate | Cluster analysis | Fuzzy c-means (FCM) | Rainfall intensities | Turkey
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 6
Scopus 6
Google Scholar 11
Defining rainfall intensity clusters in Turkey by using the fuzzy c-means algorithm

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