Estimation of the amount of suspended sediment in the tigris river using artificial neural networks

Basit Öğe Kaydı
dc.contributor.authorHamidi, Nizamettin
dc.contributor.authorKayaalp, Necati
dc.contributor.orcid0000-0003-0244-0264
dc.contributor.orcid0000-0002-6136-5025
dc.date.accessioned2024-04-24T15:59:23Z
dc.date.available2024-04-24T15:59:23Z
dc.date.issued2008
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description.abstractThe amount of sediment should be taken into consideration in the planning of water structures for efficient use of limited water resources. it is important to estimate the amount Of Sediment for the successful operation of these structures in their future performances. Such estimations can be achieved by Artificial Neural Network (ANNs) with low error percentages as seen in many other disciplines. These networks also enable the modeling of nonlinear relationships between the parameters affecting the event. The purpose of this research is to establish models for sediment amounts in the Tigris River at the Diyarbakir measurement station in Turkey. Rainfall, temperature and discharge are taken as independent variables in the models, whereas sediment is taken as the dependent variable. Fourteen different models are generated using ANNs and Regression Analysis (RA). The results are compared with each other and with the observed data. The relative error and determination coefficient are used as comparison criteria. It is concluded that due to their nonlinear modeling capability, ANNs give better results than RA.en_US
dc.identifier.citationHamidi, N. ve Kayaalp, N.(2008). Estimation of the amount of suspended sediment in the tigris river using artificial neural networks. Clean - Soil, Air, Water, 36(4), 380-386.
dc.identifier.doi10.1002/clen.200700094
dc.identifier.endpage386en_US
dc.identifier.issn1863-0650
dc.identifier.issn1863-0669
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-62349106560
dc.identifier.scopusqualityQ3
dc.identifier.startpage380en_US
dc.identifier.urihttps://doi.org/10.1002/clen.200700094
dc.identifier.urihttps://hdl.handle.net/11468/14020
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1002/clen.200700094
dc.identifier.volume36en_US
dc.identifier.wosWOS:000255344900020
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorHamidi, Nizamettin
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofClean-Soil Air Water
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectModelingen_US
dc.subjectNeural networksen_US
dc.subjectRegression analysisen_US
dc.subjectSediment transportationen_US
dc.subjectTigris riveren_US
dc.titleEstimation of the amount of suspended sediment in the tigris river using artificial neural networksen_US
dc.titleEstimation of the amount of suspended sediment in the tigris river using artificial neural networks
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Estimation of the amount of suspended sediment in the Tigris River using Artificial Neural Networks.pdf
Boyut:
1.8 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu