基于多亲遗传算法的渠道非恒定流糙率率定模型及其应用  

Channel Roughness Calibration Model Based on Multi-parent Genetic Algorithm and Its Application

作　　者：陈素红[1] 刘孟凯[2] 邢领航[2] 

机构地区：[1]武昌工学院,湖北武汉430065 [2]长江水利委员会长江科学院,湖北武汉430010

出　　处：《水电能源科学》2013年第5期81-83,共3页Water Resources and Power

基　　金：中央级公益性科研院所基本科研业务费专项基金资助项目(CKSF2013024/SL;CKSF2013028/SL;YWF0905;CKSF2010011;CKSF2011013/SL;CKSF2012026/SL);国家自然科学基金资助项目(11202037);"十二五"国家科技支撑计划课题基金资助项目(2012BAK10B04)

摘　　要：为提高渠道糙率率定的精度和速度,基于多亲遗传算法智能寻优的特性,建立了渠道一维非恒定流糙率率定模型,并利用南水北调中线工程总干渠的部分渠道断面数据进行了模型的实际应用,所得水位拟合效果良好,表明此模型可应用于渠道糙率率定。In order to improve the calibration precision of channel roughness, one-dimensional channel unsteady flow model is built to calibrate roughness by using multi parent genetic algorithm. The roughness calibration model is verified by measured main channel section data of middle route of South-to-North water diversion project. The result shows that the method has good fitting effect of water level, which can be applied to channel roughness calibration.

关 键 词：渠道 非恒定流 糙率 率定模型 多亲遗传算法 

分 类 号：TV133.2[水利工程—水力学及河流动力学]