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Simulation of Streamflow Using SWAT Model.
- Source :
- Proceedings of International Conference on Engineering & Natural Sciences (ICENS); 6/23/2021, p67-74, 8p
- Publication Year :
- 2021
-
Abstract
- In parallel with the development of computer technology and developments in geographical information systems, watershed modeling studies are also developing day by day. These models are used effectively in many studies such as water quality studies, sediment, flow estimation, the effects of climate and land-use changes. The main objective of this study is to determine the hydrological properties of the Murat-1 and Murat-2 watershed which is the subbasin of the Euphrates-Tigris watershed in Turkey and predicted the streamflow of those. The Soil and Water Assessment Tool (SWAT, version 2012) integrated with ArcGIS, version 10.7 were used for this purpose. The model was calibrated and validated using the data obtained from the monitoring station between the years 2005 to 2013 by using SWAT-CUP (version 2009) software program. The calibration and validation procedures were analyzed for the monthly periods using Sequential Uncertainty Fitting 2 (SUFI-2). Results show that the model has successfully simulated and predicted the streamflow over the watershed. Performance evaluation criteria such as Nash-Sutcliffe Efficiency (NSE) and coefficient of determination (R2) were 0.73 for both during the calibration period (2006-2010) and 0.59, 0.63 respectively for the validation period (2011-2013). From these results, its seen that simulated values are at quite acceptable ranges and the SWAT model is a suitable tool for the studied watershed. It can be also useful for the non-monitoring region by simulating the flow. [ABSTRACT FROM AUTHOR]
- Subjects :
- STREAMFLOW
GEOGRAPHIC information systems
WATER quality
HYDROLOGY
WATERSHEDS
Subjects
Details
- Language :
- English
- ISSN :
- 26872447
- Database :
- Complementary Index
- Journal :
- Proceedings of International Conference on Engineering & Natural Sciences (ICENS)
- Publication Type :
- Conference
- Accession number :
- 154523408