Application of Artificial Neural Networks for River Stage Forecasting in Hatyai

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Chaiyuth Chinnarasri
King Mongkut's University of Technology Thonburi, Bangmod, Toongkru, Bangkok 10140
Songphon Nonsawang
King Mongkut's University of Technology Thonburi, Bangmod, Toongkru, Bangkok 10140
Seree Supharatid
Rungsit University, Muang Ake, Phahonyothin Rd., Prathumthani, 12000

Abstract

Hatyai is located in Klong U-taphao catchment area, Songkhla Province. The city is surrounded by highmountains. Previously it faced with flash floods due to very heavy rainfall in the area. In order to relief loss oflife and properties, it is necessary to install a flood forecasting and warning system, which can predict the floodwater level in advance.

Artificial Neural Networks (ANNs) are sort of mathematical models, which are used to carry outcognitive tasks performed naturally by the brain. ANNs can be trained from historical data to forecast theincoming events. In this study, a neural network with back-propagation algorithm is applied for river stageforecasting at Klong U-tapao station (X.44) of RID in Hatyai City. The accuracy of the result of river stageforecasting is evaluated by using statistical performance indices. It is found that the model yields satisfactoryresults.

Article Details

Issue
Vol. 26 No. 1 (2003): January - March
Section
Original Articles
Author Biographies

Chaiyuth Chinnarasri, King Mongkut's University of Technology Thonburi, Bangmod, Toongkru, Bangkok 10140

Assistant Professor, Water Resources Engineering Research Lab. (WAREE), Department of Civil Engineering.

Songphon Nonsawang, King Mongkut's University of Technology Thonburi, Bangmod, Toongkru, Bangkok 10140

Graduate Student, Water Resources Engineering Research Lab. (WAREE), Department of Civil Engineering.

Seree Supharatid, Rungsit University, Muang Ake, Phahonyothin Rd., Prathumthani, 12000

Natural Disaster Research Center, Department of Civil Engineering.