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KMID : 1024520000090060455
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Journal of the Environmental Sciences
2000 Volume.9 No. 6 p.455 ~ p.462
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Predictive Modeling of River Water Quality Factors Using Artificial Neural Network Technique - Focusing on BOD and DO-
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Cho Hyeon-Kyeong
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Abstract
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This study aims at the development of the model for a forecasting of water quality in river basins using artificial neural network technique. Water quality by Artificial Neural Network Model forecasted and compared with observed values at the Sangju q and Dalsung stations in Nakdong river basin. For it, a multi-layer neural network was constructed to forecast river water quality. The neural network learns continuous-valued input and output data. Input data was selected as BOD, CO discharge and precipitation. As a result, it showed that method III of three methods was suitable more han other methods by statistical test(ME, MSE, Bias and VER). Therefore, it showed that Artificial Neural Network Model was suitable for forecasting river water quality
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KEYWORD
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river water quality, Artificial Neural Network Model
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