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

Mehmet C. Demirel, Anabela Venancio, Ercan Kahya*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

138 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)467-473
Number of pages7
JournalAdvances in Engineering Software
Volume40
Issue number7
DOIs
Publication statusPublished - Jul 2009

Funding

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.

FundersFunder number
DPT90187

    Keywords

    • Artificial neural networks
    • Flow
    • Forecast
    • Portugal
    • SWAT

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