Application of Artificial Neural Network in Dynamic Prediction of Groundwater Level in Weibei Irrigation Area

FU Zhong-yuan; LIU Jun-min; LI Li; KONG Meng

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Application of Artificial Neural Network in Dynamic Prediction of Groundwater Level in Weibei Irrigation Area

- Application of Artificial Neural Network in Dynamic Prediction of Groundwater Level in Weibei Irrigation Area
- Bulletin of Soiland Water Conservation Vol. 27, Issue 4, Pages: 144-146(2008)
- 作者机构：
  
  西北农林科技大学水利与建筑工程学院, 陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：
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- Published：2008
- 稿件说明：
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FU Zhong-yuan, LIU Jun-min, LI Li, et al. Application of Artificial Neural Network in Dynamic Prediction of Groundwater Level in Weibei Irrigation Area[J]. Bulletin of Soiland Water Conservation, 2008, 27(4): 144-146.
DOI：

FU Zhong-yuan, LIU Jun-min, LI Li, et al. Application of Artificial Neural Network in Dynamic Prediction of Groundwater Level in Weibei Irrigation Area[J]. Bulletin of Soiland Water Conservation, 2008, 27(4): 144-146. DOI：

摘要

地下水位动态变化受自然和人为因素的影响和制约

是一个复杂的非线性系统

而准确地预测地下水位变化在灌区水资源开发利用和生态环境建设中有着重要的意义。利用人工神经网络方法具有并行分布处理的高度非线性功能

对渭北黄土台原灌区典型水井地下水位进行了模拟预测。结果表明

人工神经网络有较高的预测精度

具有一定的推广应用价值。

Abstract

Groundwater level dynamics is a complicate nonlinear system due to the effect and limitation of its natural and human factors.It is important to predict the change of groundwater level exactly in exploiting water resources of an irrigation area.Groundwater level change of typical well in Weibei irrigation area is predicted by artificial neural network(ANN) according to its high nonlinear function of parallel distribution processing.Result from the study shows that ANN may give a high precision and has a great value of extension and application.

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