GAS优化经验公式参数方法在黄河下游含沙量过程预报中的应用  

Application of the optimum empirical formula by GAS to the calculation of the sediment concentration process in the Lower Yellow River

作　　者：李鸿雁[1] 刘晓伟[2] 李世明[2] 

机构地区：[1]吉林大学环境与资源学院,吉林长春130026 [2]黄河水利委员会水文局,河南郑州450004

出　　处：《泥沙研究》2009年第3期30-36,共7页Journal of Sediment Research

基　　金：治黄基础研究课题

摘　　要：紧密结合黄河下游河道的输沙特性和水沙作用机理,依据遗传算法强大的全局优化搜索能力,估计和优化含沙量过程预报经验公式的参数。计算结果表明,该方法具有物理概念清晰、公式计算简便、预报精度较高等特点,可以在生产实践中很方便地推广使用。采用GAS估计经验公式参数方法与传统方法相比,优势在于只需要河道历史水文数据即可完成参数确定,而不需要河段比降、河槽宽度和河道深度等河道形态参数。Based on the characteristics of sediment transportation, the mechanism of water-sediment action, and the method of parameter optimized by GAS, the parameters in the empirical formula for calculating sediment crncentration are estimated and optimized. The method has clear physical conception. The parameters in the formula can be determined by historical hydrology data only without knowing of hydraulic factors and channel morphological properties. The calculated sediment concentration process in the Lower Yellow River shows that the method has a reasonable precision and can be easily used in practice.

关 键 词：GAS 参数优化 含沙量过程预报 黄河下游 

分 类 号：TV147[水利工程—水力学及河流动力学]