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Alternative solutions for long missing streamflow data for sustainable water resources management
Date
2020-08-01
Author
Mesta, Buket
Akgün, Ömer Burak
Kentel Erdoğan, Elçin
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Sustainable water resources management requires long time series of streamflow data. In this study, a Takagi-Sugeno fuzzy rule-based (FRB) model is developed to reconstruct long periods of missing daily streamflow data which is a common problem in developing countries. The FRB model uses observations of neighbouring stream gauges, and thus is advantageous regarding data and time requirement compared to physical models. With the proper set of inputs, the FRB model provides better estimates than the hydrological model at two of the studied four stream gauges in the Meric-Ergene Basin. Filling long data-gaps with FRB models will facilitate the development of realistic water management strategies.
Subject Keywords
Development
,
Water Science and Technology
URI
https://hdl.handle.net/11511/35826
Journal
INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT
DOI
https://doi.org/10.1080/07900627.2020.1799763
Collections
Department of Civil Engineering, Article
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B. Mesta, Ö. B. Akgün, and E. Kentel Erdoğan, “Alternative solutions for long missing streamflow data for sustainable water resources management,”
INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT
, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35826.