Zhong-Sheng Guo
Institute of Soil and water conservation, Chinese Academy, of Science and department of Water resoureces, Yangling 712100, China
Publications
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Research Article
Soil Moisture Prediction of Caragana Shrub Based on Wavelet Analysis and NARX Neural Network
Author(s): Bai Dong-Mei, Zhong-Sheng Guo* and Man-Cai Guo
Soil moisture prediction is important for sustainable use of soil water resource and agriculture high-quality development in forestland of water-limited regions. There are some soil water models. However, there is not the best model to forecast the change of soil moisture with time in the caragana shrubland. In this research, the plant water relationship has been investigated at the same time for a long term in the caragana shrubland of semiarid region of the Loess Plateau of China. The data of soil moisture was divided and then NARX neural network was used to build model I and model II. For model I, low frequency component was the input variable, and for model II, low frequency component and high frequency component were predicted. The results showed the average relative error for model I is 3.5% and for model II is 0.3%. The average relative error of predicted soil moisture in100cm .. Read More»