水资源与水工程学报

文章摘要

董起广,周维博,刘雷,云涛,张向飞,刘小学.BP神经网络在渭北旱塬区地下水埋深预测中的应用Journal of Water Resources and Water Engineering[J].,2012,23(4):112-114,118

BP神经网络在渭北旱塬区地下水埋深预测中的应用

Application of BP neural network to prediction of groundwater table in Weibei dry highland

Received:May 03, 2012 Revised:May 08, 2012

DOI：

中文关键词: BP神经网络地下水埋深预测地下水动态变化渭北旱塬区

英文关键词: BP neural network groundwater table prediction dynamic variation of groundwater Weibei Dry Highland

基金项目:陕西省水利厅科技项目

Author Name	Affiliation
DONG Qiguang	College of Environmental Science and Engineering, Chang''an University,Xi''an 710054,China
ZHOU Weibo	College of Environmental Science and Engineering, Chang''an University,Xi''an 710054,China
LIU Lei	College of Environmental Science and Engineering, Chang''an University,Xi''an 710054,China
YUN Tao	College of Environmental Science and Engineering, Chang''an University,Xi''an 710054,China
ZHANG Xiangfei	College of Environmental Science and Engineering, Chang''an University,Xi''an 710054,China
LIU Xiaoxue	Shaanxi Bureau of Groundwater Management Moritoring, Xi''an 710002, China [KH*3D]

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中文摘要:

地下水埋深变化是地下水动态变化的主要特征之一。本文选取了渭北旱塬区两个具有典型性的观测井点,利用已有的2000年-2010年埋深数据以BP神经网络的方法对地下水埋深进行模拟和预测。结果表明:预测值与实测值拟合较好。故该方法可应用于地下水动态的预测。

英文摘要:

The change of groundwater table is one of the main characters of dynamic variation of groundwater. Two typical wells are chosen in Weibei dry highland of Shaanxi Province in China. Using the arailabe measured ground water table data from 2000to 2010, the paper carried out the simulation and prediction for groundwater table by BP neural network method. The results showed that the predicted values were in a good coincidence with the observed values. Therefore,this method can be used to predict the dynamic variation of groundwater.

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