地理科学进展 ›› 2009, Vol. 28 ›› Issue (4): 553-557.doi: 10.11820/dlkxjz.2009.04.010

• 水土与地表过程 • 上一篇    下一篇

流量沿程变化的不平衡输沙含沙量过程预报方法

秦毅1|凌燕1|张静2|钱云平3|徐建华3   

  1. 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. 陕西颐信网络科技有限责任公司|西安710075; 3. 黄河水文水资源科学研究院|郑州 450004
  • 出版日期:2009-07-25 发布日期:2009-07-25
  • 通讯作者: 秦毅(1959-),女,江苏常州人,教授。研究方向为干旱区水文水资源、河流泥沙。 E-mail:Qy_1103@yahoo.com.cn
  • 基金资助:

    国家“十一五”科技支撑项目(2006BAB06B05-2)

A Nonequilibrioum Transformation Forecasting Model of Sediment Concentration with Discharge Distribution along Channel

QIN Yi1, LING Yan1, ZHANG Jing2, QIAN Yunping3, XU Jianhua3   

  1. 1. The Key Laboratory of North-West Water Resources and Ecology Environment of Ministry Education of Xi’an University of Technology, Xi’an 710048, China|2. Easin Technology, Xi’an |710075, China|
    3. Hydrology Bureau, YRCC, Zhengzhou 450004, China
  • Online:2009-07-25 Published:2009-07-25

摘要:

本文从水沙运动机理出发,将简化的一维不平衡输沙模型与假定河道水量调节为线性水库式调节前提下推导出的河道流量沿程变化模型相结合,建立了冲积性河流含沙量过程预报模型。并利用花园口—夹河滩河段以及龙门—潼关河段水沙资料对模型的模拟效果进行了检验。结果表明,由于模型考虑了流量沿河道纵向上的变化,而使模型的模拟预报效果较单一的一维恒定均匀流不平衡输沙模型有明显改善,含沙量模拟预报效果较满意。

关键词: 模型;流量沿程变化;不平衡输沙;含沙量过程预报;黄河

Abstract:

From the mechanism of river flow and sediment movement, this paper built a model for forecasting sediment concentration of an alluvial river by combining stable sediment nonequilibrium transportation model with discharge distribution model along channel which was derived from the assumption that the amount of river water regulation for the linear reservoir regulator. The observations of water and sediment from the Huayuankou to Jiahetan section and from the Longmen to Tongguan section at the Yellow River had been used to verify the proposed model, which indicated that since the change of discharge along channel has been considered, the proposed model made better forecasting performance than stable nonequilibrium transportation model used solely and the forecasts were reasonably satisfied.

Key words: model;discharge distribution along channel; nonequilibrioum transportation;sediment concentration hydrograph forecasting;Yellow River