Chapter
Apr 26, 2012

Apply Neural Networks to Watershed Management

Publication: Watershed Management

Abstract

This paper demonstrates neural network model can be used as a powerful tool in watershed management. Two applications were presented: (1) development and evaluation of several hydrological interpolation schemes for correcting missing or noisy data inflow data in Seattle Public Utility's Tolt River watershed and (2) forecasting short-term water demand in summer months. Neural network model was compared with traditional method such as linear regression. It was found that neural network model performed better than the traditional statistical models, especially when relationship among parameters is not linear.

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Watershed Management
Pages: 151 - 158

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Published online: Apr 26, 2012

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Nian She
Project Manager, Seattle Public Utilities, 720 Second Ave., Dexter Horton Building, Seattle, WA 89104

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