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Effect of using extreme years in hydrologic model calibration performance
Date
2017-12-15
Author
Göktaş, Recep Kaya
Tezel, Ulaş
Kargı, Pınar Gökçe
Ayvaz, Mustafa Tamer
Tezyapar, İpek
Mesta, Buket
Kentel Erdoğan, Elçin
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Hydrological models are useful in predicting and developing management strategies for controlling the system behaviour. Specifically they can be used for evaluating streamflow at ungaged catchments, effect of climate change, best management practices on water resources, or identification of pollution sources in a watershed. This study is a part of a TUBITAK project named "Development of a geographical information system based decision-making tool for water quality management of Ergene Watershed using pollutant fingerprints". Within the scope of this project, first water resources in Ergene Watershed is studied. Streamgages found in the basin are identified and daily streamflow measurements are obtained from State Hydraulic Works of Turkey. Streamflow data is analysed using box-whisker plots, hydrographs and flow-duration curves focusing on identification of extreme periods, dry or wet. Then a hydrological model is developed for Ergene Watershed using HEC-HMS in the Watershed Modeling System (WMS) environment. The model is calibrated for various time periods including dry and wet ones and the performance of calibration is evaluated using Nash-Sutcliffe Efficiency (NSE), correlation coefficient, percent bias (PBIAS) and root mean square error. It is observed that calibration period affects the model performance, and the main purpose of the development of the hydrological model should guide calibration period selection.
Subject Keywords
Climate variability
,
Human impacts
,
Hydrology
,
System operation and management
,
Policy sciences
URI
https://agu.confex.com/agu/fm17/preliminaryview.cgi/Paper294439.html
https://hdl.handle.net/11511/70679
Conference Name
American Geophysical Union (AGU) 2017 Fall Meeting
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Department of Civil Engineering, Conference / Seminar
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R. K. Göktaş et al., “Effect of using extreme years in hydrologic model calibration performance,” presented at the American Geophysical Union (AGU) 2017 Fall Meeting, New Orleans, Amerika Birleşik Devletleri, 2017, Accessed: 00, 2021. [Online]. Available: https://agu.confex.com/agu/fm17/preliminaryview.cgi/Paper294439.html.