Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/926
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Köyceğiz, Cihangir | - |
dc.contributor.author | Büyükyıldız, Meral | - |
dc.date.accessioned | 2021-12-13T10:32:10Z | - |
dc.date.available | 2021-12-13T10:32:10Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2073-4441 | - |
dc.identifier.uri | https://doi.org/10.3390/w11010147 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/926 | - |
dc.description.abstract | Hydrologic models are important tools for the successful management of water resources. In this study, a semi-distributed soil and water assessment tool (SWAT) model is used to simulate streamflow at the headwater of Caramba River, located at the Konya Closed Basin, Turkey. For that, first a sequential uncertainty fitting-2 (SUFI-2) algorithm is employed to calibrate the SWAT model. The SWAT model results are also compared with the results of the radial-based neural network (RBNN) and support vector machines (SVM). The SWAT model performed well at the calibration stage i.e., determination coefficient (R-2) = 0.787 and Nash-Sutcliffe efficiency coefficient (NSE) = 0.779, and relatively lower values at the validation stage i.e., R-2 = 0.508 and NSE = 0.502. Besides, the data-driven models were more successful than the SWAT model. Obviously, the physically-based SWAT model offers significant advantages such as performing a spatial analysis of the results, creating a streamflow model taking into account the environmental impacts. Also, we show that SWAT offers the ability to produce consistent solutions under varying scenarios whereas it requires a large number of inputs as compared to the data-driven models. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.relation.ispartof | WATER | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Swat | en_US |
dc.subject | Sufi-2 | en_US |
dc.subject | Rbnn | en_US |
dc.subject | Svm | en_US |
dc.subject | Hydrological Modelling | en_US |
dc.subject | Uncertainty Analysis | en_US |
dc.subject | Parameter Uncertainty | en_US |
dc.subject | Water-Resources | en_US |
dc.subject | River-Basin | en_US |
dc.subject | Streamflow | en_US |
dc.subject | Catchment | en_US |
dc.subject | Flow | en_US |
dc.subject | Phosphorus | en_US |
dc.subject | Strategies | en_US |
dc.subject | Prediction | en_US |
dc.title | Calibration of SWAT and Two Data-Driven Models for a Data-Scarce Mountainous Headwater in Semi-Arid Konya Closed Basin | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3390/w11010147 | - |
dc.identifier.scopus | 2-s2.0-85060018056 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
dc.authorid | KOYCEGIZ, Cihangir/0000-0002-0510-1164 | - |
dc.authorwosid | KOYCEGIZ, Cihangir/AAF-7100-2019 | - |
dc.identifier.volume | 11 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.wos | WOS:000459735100145 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57205432802 | - |
dc.authorscopusid | 55965911800 | - |
dc.identifier.scopusquality | Q1 | - |
item.grantfulltext | open | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.02. Department of Civil Engineering | - |
crisitem.author.dept | 02.02. Department of Civil Engineering | - |
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 | |
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water-11-00147.pdf | 4.84 MB | Adobe PDF | View/Open |
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