长江科学院院报 ›› 2016, Vol. 33 ›› Issue (2): 10-13.DOI: 10.11988/ckyyb.20140839

• 江湖泥沙与治理 • 上一篇    下一篇

泾河张家山站水沙多时间尺度分析及输沙量模拟

陶望雄a, 张杰a, 王青a, 刘招b   

  1. 长安大学 a.环境科学与工程学院; b.水与发展研究院, 西安 710054
  • 收稿日期:2014-09-28 出版日期:2016-02-01 发布日期:2016-02-17
  • 作者简介:陶望雄(1991-),男,湖南益阳人,硕士研究生,主要从事水文学及水资源研究,(电话)18092862168 (电子信箱)741821194@qq.com。
  • 基金资助:
    中央高校基本科研业务专项项目(310850151100);陕西省自然科学基础研究计划项目(2015JM5256);高等学校学科创新引智计划项目(B08039);中央高校基本科研业务费专项资金(CHD2011JC119)

Analysis on Multiple Temporal Scales of Runoff and Sediment and Simulation of Annual Sediment Discharge at Zhangjiashan Hydrological Station of Jinghe River

TAO Wang-xiong1, ZHANG Jie1, WANG Qing1, LIU Zhao2   

  1. 1.College of Environmental Science and Engineering, Chang’an University, Xi’an 710054, China;
    2.Research Institute of Water and Development, Chang’an University, Xi’an 710054,China
  • Received:2014-09-28 Published:2016-02-01 Online:2016-02-17

摘要: 为了掌握泾河水沙变化的基本规律,运用EMD方法对泾河张家山水文站1958—2011年的年径流量及年输沙量序列分别进行了多时间尺度分解,依据实测年输沙量数据,应用时间序列分析方法建立了年输沙量模拟模型。泾河年径流和年输沙量的时间序列均可分解为3个不同波动周期的振荡分量和一个递减的趋势分量;年输沙量模型适用性较好,且模拟精度较高,可应用于年输沙量预测。泾河水沙多时间尺度变化的特征分析和输沙量预测可为泾河水资源规划提供科学依据。

关键词: EMD, 径流量, 多时间尺度, 年输沙量, 自回归模型

Abstract: In order to obtain the basic law of water and sediment variation in Jinghe River, we decompose series of annual runoff and sediment discharge into multiple temporal scales by EMD method, with Zhangjiashan station from 1956 to 2011 as an example. Firstly, we establish a simulation model of annual sediment discharge according to measured data and time series analysis. Then, the results show that both of the annual runoff and sediment series can be decomposed into 3 fluctuation components with different periods and a degressive tendency residual component. Furthermore, the model is of good suitability and high accuracy, and it can be used to predict annual sediment discharge. Finally, we can carry out characteristic analysis on multiple temporal scales of runoff and sediment and prediction of annual sediment discharge to provide a scientific basis for water resources planning in Jinghe River.

Key words: EMD, runoff, multiple temporal scales, annual sediment discharge, autoregressive model

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