Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis

Selen Orta, Hafzullah Aksoy*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In this study, duration-frequency curves were developed for D = 1, 7, 14, 30, 90 and 273-day low flows corresponding to the 2, 5, 10, 25, 50 and 100-year return periods. For this, daily data acquired from streamflow gauging stations with minimized anthropogenic effects were used. A hybrid frequency analysis coupled with the total probability theorem was applied on D-day low sequences to accommodate zero values. Among the tested probability distribution functions, Generalized Extreme Value was found the best in fitting low flows for majority of cases. Low flow discharge increases with increasing duration while it decreases with increasing return period for a given duration. Low flow duration-frequency curves can be considered one among significant tools to be used by the hydrological community in water resources planning and management.

Original languageEnglish
Pages (from-to)1521-1534
Number of pages14
JournalWater Resources Management
Issue number5
Publication statusPublished - Mar 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature B.V.


This research study is based on the MSc thesis of the first author under supervision of the second. The research leading these study was inspired from the project entitled Low Flow and Drought Analysis in Hydrological Watersheds financially supported by the National Union of Geodesy and Geophysics of Turkey under Grant Agreement No. TUJJB-TUMEHAP-2015-01.

FundersFunder number
National Union of Geodesy and Geophysics of TurkeyTUJJB-TUMEHAP-2015-01


    • Frequency analysis
    • Gediz River Basin
    • Low flow
    • Low flow duration-frequency curve
    • Total probability theorem


    Dive into the research topics of 'Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis'. Together they form a unique fingerprint.

    Cite this