Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/927
Title: | Spatio-temporal analysis of sediment yield with a physically based model for a data-scarce headwater in Konya Closed Basin, Turkey | Authors: | Köyceğiz, Cihangir Büyükyıldız, Meral Kumcu, Şerife Yurdagül |
Keywords: | sediment sediment rating curve SUFI-2 SWAT RESERVOIR |
Publisher: | IWA PUBLISHING | Abstract: | There are many empirical, semi-empirical and mathematical methods that have been developed to estimate sediment yield by researchers. In the last decades, the advancement in computer technologies has increased the use of mathematical models as they can solve the system more rapidly and accurately. The Soil and Water Assessment Tool (SWAT) is one of the physically based hydrological models that is preferred to compute sediment yield. In this study, spatial and temporal analysis of sediment yield in the carsamba Stream located at the Konya Closed Basin has been investigated using the SWAT model. Streamflow and sediment data collected during the 2003-2015 time period have been used in the analysis. Consequently, the SWAT presented satisfactory results compared with R-2 = 0.68, Nash-Sutcliffe Efficiency (NSE) = 0.68 in calibration and R-2 = 0.76, NSE = 0.66 in validation. According to the model results, spatial asymmetry in terms of sediment yield was determined in the sub-basins of the study area. | URI: | https://doi.org/10.2166/ws.2021.016 https://hdl.handle.net/20.500.13091/927 |
ISSN: | 1606-9749 1607-0798 |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
---|---|---|---|
ws021041752.pdf | 635.75 kB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
2
checked on Apr 13, 2024
WEB OF SCIENCETM
Citations
6
checked on Apr 13, 2024
Page view(s)
104
checked on Apr 15, 2024
Download(s)
62
checked on Apr 15, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.