Wavelet-Nonlinear Cointegration Prediction of Irrigation Water in the Irrigation District

被引：0
|
作者：
Jinping Zhang
Hongbin Li
Xixi Shi
Yang Hong
机构：
[1] Zhengzhou University,School of Water Conservancy & Environment
[2] Zhengzhou Key Laboratory of Water Resource and Environment,School of Civil Engineering and Environmental Sciences
[3] Zhengzhou University,undefined
[4] Henan Key Laboratory of Groundwater Pollution Prevention and Rehabilitation,undefined
[5] University of Oklahoma,undefined
来源：
Water Resources Management | 2019年 / 33卷
关键词：
Wavelet-nonlinear cointegration prediction; Irrigation water; Rainfall; Crop water requirement;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Aiming at revealing the nonlinear relations between rainfall, crop water requirement and irrigation water in the irrigation district, and improving the accuracy of wavelet-cointegration prediction model proposed by the literature (Zhang et al. J Hydrol 544: 343-351, 2017), the nonlinear cointegration theory and wavelet neutral network method are introduced to construct the innovated wavelet-nonlinear cointegration prediction model of irrigation water. The results show that there are nonlinear cointegration relations amongst the decomposed time series of rainfall, crop water requirement and irrigation water. Compared with the wavelet-cointegration prediction model, the wavelet-nonlinear cointegration prediction model has the higher prediction accuracy, and all relative errors of the predicted values are around 2%, except 2004 and 2012.
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页码：2941 / 2954
页数：13
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