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

M.C. Demirel, Anabela Venancio, Ercan Kahya

Research output: Contribution to journalArticleAcademicpeer-review

93 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 - 2009

Keywords

  • Artificial Neural Networks
  • Flow
  • Forecast
  • IR-67904
  • Portugal
  • METIS-249639
  • SWAT

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