Multi-Resolution Cointegration Prediction for Runoff and Sediment Load

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• 作者：Jinping Zhang ; Yong Zhao ; Weihua Xiao
• 关键词：Runoff ; Sediment load ; Multi ; resolution cointegration ; Wavelet transform
• 刊名：Water Resources Management
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：29
• 期：10
• 页码：3601-3613
• 全文大小：742 KB
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• 作者单位：Jinping Zhang (1) (3)
  Yong Zhao (2)
  Weihua Xiao (2)
  
  1. Laboratory of Science and Water Conservancy of Key Disciplines in Henan Province, Zhengzhou University, Zhengzhou, 450001, China
  3. Institute of Water Resources and Environment, Zhengzhou University, High-tech District, No. 100 Science Road, Zhengzhou city, 450001, Henan Province, China
  2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geotechnical Engineering
  Meteorology and Climatology
  Civil Engineering
  Environment
  
• 出版者：Springer Netherlands
• ISSN：1573-1650

文摘

With the wavelet transform method, the multi-resolution analysis of runoff and sediment load at Huaxian hydrological station located in the lower reaches of the Weihe River in China is presented to find the varying quasic-periodic waveforms existing in different decomposed time scales. The cointegration theory is introduced to reveal the long-term balance relationship and short-term fluctuations of the original and decomposed runoff and sediment load time series. Thus, considering the decomposed sediment load components in different time scales as the input data series, and the corresponding decomposed runoff component acting as the output data series, the multi-resolution cointegration method is produced. The results show that the multi-resolution cointegration method has the higher prediction accuracy, and the prediction errors are almost less than 5?%.