Flow forecast by SWAT model and ANN in Pracana basin, Portugal

Mehmet C. Demirel; Anabela Venancio; Ercan Kahya

doi:10.1016/j.advengsoft.2008.08.002

Flow forecast by SWAT model and ANN in Pracana basin, Portugal

Mehmet C. Demirel
, Anabela Venancio
, Ercan Kahya^*

^*Bu çalışma için yazışmadan sorumlu yazar

İnşaat Mühendisliği Bölümü

University of Algarve

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

156 Atıf (Scopus)

Özet

This study provides a unique opportunity to analyze the issue of flow forecast based on the soil and water assessment tool (SWAT) and artificial neural network (ANN) models. In last two decades, the ANNs have been extensively applied to various water resources system problems. In this study, the ANNs were applied to the daily flow of the Pracana basin in Portugal. The comparison of ANN models and a process-based model SWAT was established based on their prediction accuracy. The ANN model was found to be more successful than the SWAT in relation to better forecast of peak flow. Nevertheless the SWAT model results revealed a better value of mean squared error. The results of this study, in general, showed that ANNs can be powerful tools in daily flow forecasts.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	467-473
Sayfa sayısı	7
Dergi	Advances in Engineering Software
Hacim	40
Basın numarası	7
DOI'lar	https://doi.org/10.1016/j.advengsoft.2008.08.002
Yayın durumu	Yayınlandı - Tem 2009

Finansman

The authors gratefully acknowledge the support of DPT Project No.: 90187 for this work. Moreover, we thank to Prof. Arthur J. Mariano (University of Miami) and Mr. Muhittin Tarhan (Istanbul Technical University) for fruitful comments on the manuscript.

Finansörler	Finansör numarası
DPT	90187

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 6 Temiz Su ve Sanitasyon

Belgeye Erişim

10.1016/j.advengsoft.2008.08.002

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Flow forecast by SWAT model and ANN in Pracana basin, Portugal",

abstract = "This study provides a unique opportunity to analyze the issue of flow forecast based on the soil and water assessment tool (SWAT) and artificial neural network (ANN) models. In last two decades, the ANNs have been extensively applied to various water resources system problems. In this study, the ANNs were applied to the daily flow of the Pracana basin in Portugal. The comparison of ANN models and a process-based model SWAT was established based on their prediction accuracy. The ANN model was found to be more successful than the SWAT in relation to better forecast of peak flow. Nevertheless the SWAT model results revealed a better value of mean squared error. The results of this study, in general, showed that ANNs can be powerful tools in daily flow forecasts.",

keywords = "Artificial neural networks, Flow, Forecast, Portugal, SWAT",

author = "Demirel, \{Mehmet C.\} and Anabela Venancio and Ercan Kahya",

year = "2009",

month = jul,

doi = "10.1016/j.advengsoft.2008.08.002",

language = "English",

volume = "40",

pages = "467--473",

journal = "Advances in Engineering Software",

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T1 - Flow forecast by SWAT model and ANN in Pracana basin, Portugal

AU - Demirel, Mehmet C.

AU - Venancio, Anabela

AU - Kahya, Ercan

PY - 2009/7

Y1 - 2009/7

N2 - This study provides a unique opportunity to analyze the issue of flow forecast based on the soil and water assessment tool (SWAT) and artificial neural network (ANN) models. In last two decades, the ANNs have been extensively applied to various water resources system problems. In this study, the ANNs were applied to the daily flow of the Pracana basin in Portugal. The comparison of ANN models and a process-based model SWAT was established based on their prediction accuracy. The ANN model was found to be more successful than the SWAT in relation to better forecast of peak flow. Nevertheless the SWAT model results revealed a better value of mean squared error. The results of this study, in general, showed that ANNs can be powerful tools in daily flow forecasts.

AB - This study provides a unique opportunity to analyze the issue of flow forecast based on the soil and water assessment tool (SWAT) and artificial neural network (ANN) models. In last two decades, the ANNs have been extensively applied to various water resources system problems. In this study, the ANNs were applied to the daily flow of the Pracana basin in Portugal. The comparison of ANN models and a process-based model SWAT was established based on their prediction accuracy. The ANN model was found to be more successful than the SWAT in relation to better forecast of peak flow. Nevertheless the SWAT model results revealed a better value of mean squared error. The results of this study, in general, showed that ANNs can be powerful tools in daily flow forecasts.

KW - Artificial neural networks

KW - Flow

KW - Forecast

KW - Portugal

KW - SWAT

UR - https://www.scopus.com/pages/publications/62949110142

U2 - 10.1016/j.advengsoft.2008.08.002

DO - 10.1016/j.advengsoft.2008.08.002

M3 - Article

AN - SCOPUS:62949110142

SN - 0965-9978

VL - 40

SP - 467

EP - 473

JO - Advances in Engineering Software

JF - Advances in Engineering Software

IS - 7

ER -

Flow forecast by SWAT model and ANN in Pracana basin, Portugal

Özet

Finansman

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap