文章摘要
秦毅,沈冰,李怀恩,曹光明.基于物理成因概念的水文系统模型及其应用[J].水利学报,2004,35(7):0052-0056
基于物理成因概念的水文系统模型及其应用
Hydrological system model based on concept of physical cause of formation and its application
  
DOI:
中文关键词: 成因概念  系统模型  流量预报  精确度
英文关键词: concept of physical cause of formation  hydrological system model  discharge forecasting, forecasting accuracy
基金项目:
作者单位
秦毅 西安理工大学 水资源研究所陕西 西安 710048 
沈冰 西安理工大学 水资源研究所陕西 西安 710048 
李怀恩 西安理工大学 水资源研究所陕西 西安 710048 
曹光明 黄河上游水电开发公伯峡建设公司甘肃 兰州 830000 
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中文摘要:
      本文依据等流时线概念,通过将某时刻流域出口断面流量组成表达式与该时刻流域蓄水量表达式联解,得到形状类似多输入单输出的响应函数模型(简称为SMG模型),它的输入组成具有成因概念,在一定条件下,它可简化为线性变换函数模型和总线性响应函数模型。该模型的参数分析表明,其响应函数值有负数是合理的,这从成因概念上说明了响应函数不同于单位线。将SMG模型应用于龙羊峡水库汛期(5~10月)旬入库流量实际作业预报表明,其预报精度优于人工神经网络,更明显优于自回归模型和多元回归模型。
英文摘要:
      Based on the concept of channel travel isochrone, a hydrological system model in the form of response function reflecting the formation of runoff due to multiple inputs and single output is proposed. The model is deduced by jointly solving the expression of discharge at the exit of the river basin and the expression of water volume stored in the river basin at the same moment. Under the specific condition the model can be simplified as a linear transformation function model. It is applied to forecast the ten-day input discharge of the reservoir in Longyangxia Project, located at the upper reaches of the Yellow River, during flood season. The comparison of the forecasting shows that the accuracy of this model is higher than the model based on artificial neural network and other models.
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