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[1]ZHANG Bin,LIU Jun-min.Prediction of Groundwater Dynamics Based on the BP Neural Network[J].Research of Soil and Water Conservation,2012,19(05):235-237.

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Prediction of Groundwater Dynamics Based on the BP Neural Network

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 19 Number of periods: 2012 05 Page number: 235-237 Column: Public date: 2012-10-20

Title:: Prediction of Groundwater Dynamics Based on the BP Neural Network

Author(s):: ZHANG Bin, LIU Jun-min; College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China

Keywords:: artificial neural network; groundwater level; dynamic trend

CLC:: P345

DOI:: -

Abstract:: Artificial neural network is a highly nonlinear parallel distributed processing system. It was used to predict groundwater level in Baoji City. Precipitation infiltration quantity, river leakage recharge, groundwater withdrawal and dam water leakage from 1995 to 2007 were adopted as the input factors to establish BP model to simulate water table depth in 2008. It showed that BP neural network model had high accuracy and the relative error was between 0.07% and 1.98% in comparison with Grey Model(relative error was from 0.13% to 6.41%). Overall, BP neural network model can provide references for groundwater level regime forecast in irrigation zone of Baoji.

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