Regional Frequency Analysis of 6 hours Maximum Rainfall over the Upper Euphrates–Tigris basins   
Yazarlar (3)
Prof. Dr. Kadri YÜREKLİ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Dr. Öğr. Üyesi Müberra ERDOĞAN KARAAĞAÇLI Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Dr. Öğr. Üyesi Saniye DEMİR Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale
Makale Alt Türü Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale
Dergi Adı Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi
Dergi ISSN 1300-2910
Dergi Tarandığı Indeksler TR DİZİN
Makale Dili İngilizce
Basım Tarihi 12-2019
Cilt No 36
Sayı 3
Sayfalar 236 / 242
DOI Numarası 10.13002/jafag4553
Özet
Accurately estimating design rainfall or in other words, probable maximum rainfall has a crucial efficiency on fulfilling the expected benefit from any hydraulic structure since the value predicted as design criteria directly influences its planning, management and cost. What amount of a hydro-climatic variable which takes place under the influence of many environmental factors in a given region would be in future time is estimated based on its statistical behaviour. In many efforts related to water resources, the curve (IDF) representing the relationship among intensity, duration frequency of rainfall is basis for design rainfall amount required in the construction of any water-related structure. The availability of information extracted the curve of IDF substantially depends upon the frequency analysis and reliability of the current data. In this sense, the reliability of the data is very important as well as frequency analysis. The 6 hours maximum rainfall amounts from 18 sites in Upper Euphrates–Tigris basins were used as a material for regional frequency analysis based on L-moments approach. The existence of discordant stations was checked with discordancy measure for whole sites in the study area. First, single homogeneous region was tried to be formed. However, due to the irregularity value of Mardin station being greater than the critical value, no single homogeneous region could be obtained. Clustering analysis method was applied to obtain sub homogeneous regions. According to the dentograms of clustering analysis, the basin was divided into two sub homogeneous regions. Mardin station has been ignored in the study due to its discordant in the sub-regions. The generalized extreme value distribution was selected as the most appropriate regional distribution for the sub-regions.
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