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

Authors:
Mehmet C. Demirel;Anabela Venancio;Ercan Kahya
Affiliations:
Institute of Science and Technology, Istanbul Technical University, Maslak 34469, Istanbul, Turkey;HIDROTEC, Escola Superior de Tecnologia, Universidade do Algarve, Campus da Penha 8005-117 Faro, Portugal;Civil Engineering Department, Istanbul Technical University, Maslak 34469, Istanbul, Turkey
Venue:
Advances in Engineering Software
Year:
2009

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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.