Frequency analysis of low flows in intermittent and non-intermittent rivers from hydrological basins in Turkey

Author:

Eris Ebru1,Aksoy Hafzullah2,Onoz Bihrat2,Cetin Mahmut3,Yuce Mehmet Ishak4,Selek Bulent5,Aksu Hakan6,Burgan Halil Ibrahim2,Esit Musa7,Yildirim Isilsu2,Karakus Ece Unsal2

Affiliation:

1. Department of Civil Engineering, Ege University, Izmir, Turkey

2. Department of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

3. Department of Agricultural Structures and Irrigation, Cukurova University, Adana, Turkey

4. Department of Civil Engineering, Gaziantep University, Gaziantep, Turkey

5. General Directorate of Water Management, Ankara, Turkey

6. General Directorate of State Hydraulic Works, Ankara, Turkey

7. Department of Civil Engineering, Adiyaman University, Adiyaman, Turkey

Abstract

Abstract This study attempts to find out the best-fit probability distribution function to low flows using the up-to-date data of intermittent and non-intermittent rivers in four hydrological basins from different regions in Turkey. Frequency analysis of D = 1-, 7-, 14-, 30-, 90- and 273-day low flows calculated from the daily flow time series of each stream gauge was performed. Weibull (W2), Gamma (G2), Generalized Extreme Value (GEV) and Log-Normal (LN2) are selected among the 2-parameter probability distribution functions together with the Weibull (W3), Gamma (G3) and Log-Normal (LN3) from the 3-parameter probability distribution function family. Selected probability distribution functions are checked for their suitability to fit each D-day low flow sequence. LN3 mostly conforms to low flows by being the best-fit among the selected probability distribution functions in three out of four hydrological basins while W3 fits low flows in one basin. With the use of the best-fit probability distribution function, the low flow-duration-frequency curves are determined, which have the ability to provide the end-users with any D-day low flow discharge of any given return period.

Publisher

IWA Publishing

Subject

Water Science and Technology

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