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黄河径流长期演化模式与EMD灰色自记忆模型

吕继强 沈冰 邵年华 董克鹏 李抗彬

水力发电学报2012,Vol.31Issue(3):25-30,6.
水力发电学报2012,Vol.31Issue(3):25-30,6.

黄河径流长期演化模式与EMD灰色自记忆模型

Evolution modes and EMD gray self-memory model of the Yellow River water resources

吕继强 1沈冰 1邵年华 1董克鹏 2李抗彬1

作者信息

  • 1. 西安理工大学西北水资源与环境生态教育部重点实验室,西安710048
  • 2. 新疆和田水文水资源勘测局,新疆和田848000
  • 折叠

摘要

Abstract

To better understand the evolution modes and self-memory characteristics of the Yellow River annual runoff,a gray self-memory prediction model is developed by using empirical mode decomposition theory.A auto-correlation function is adopted to define the backdate orders of this model to improve its accuracy.The results show that the runoff series at Huayuankou gauge can be decomposed into seven intrinsic mode functions(IMF) and a tendency function.Since 1965 the evolution modes and periodicity of runoff series has changed under the influences by water resources development and climate change in this river basin.

关键词

水文学及水资源/经验模态函数/EMD自记忆模型/黄河

Key words

hydrology and water resources/empirical mode function/EMD self-memory model/the Yellow River

分类

建筑与水利

引用本文复制引用

吕继强,沈冰,邵年华,董克鹏,李抗彬..黄河径流长期演化模式与EMD灰色自记忆模型[J].水力发电学报,2012,31(3):25-30,6.

基金项目

国家自然科学基金重点项目 ()

国家自然科学基金项目 ()

水力发电学报

OA北大核心CSCDCSTPCD

1003-1243

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