摘要
黄河的泥沙问题一直是黄河治理的重点。依据黄河下游"多来多排"的输沙特性,建立了多输入单输出的含沙量过程预报响应函数模型。经对黄河下游花园口至夹河滩河段洪水含沙量过程预报的检验,并与常见的神经网络方法相比,其预报精度优于后者,且稳定性好。研究表明,响应函数模型适用于黄河下游河段的含沙量过程预报。
Sediment control is the major work for the management of Yellow River. A response function tablished based on the sediment transport characteristic of “more in, more out”. The test for sediment centration prediction in the lower reaches of Yellow River shows that the response function is better neural network model. This indicates that response function model is applicable to sediment prediction. is es- con-
出处
《水土保持通报》
CSCD
北大核心
2008年第2期103-105,共3页
Bulletin of Soil and Water Conservation
基金
“十一五”国家科技支撑项目(2006BAB06B05-2)
关键词
含沙量过程
多来多排
响应函数
sediment concentration
“more in, more out”
response function
