Flow Forecast by SWAT Model and ANN in Pracana Basin, Portugal
Sponsor
The authors gratefully acknowledge the support of DPT Project No.: 90187 for this work.
Published In
Advances in Engineering Software
Document Type
Article
Publication Date
7-2009
Subjects
Hydrologic models -- Evaluation
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.
DOI
10.1016/j.advengsoft.2008.08.002
Persistent Identifier
http://archives.pdx.edu/ds/psu/20837
Citation Details
Demirel, Mehmet; Venancio, Anabela; and Kahya, Ercan, "Flow Forecast by SWAT Model and ANN in Pracana Basin, Portugal" (2009). Civil and Environmental Engineering Faculty Publications and Presentations. 286.
http://archives.pdx.edu/ds/psu/20837
Description
Copyright 2008 Elsevier Ltd. All rights reserved.
*At the time of publication Mehmet C. Demirel was affiliated with the Institute of Science and Technology, Istanbul Technical University