闸门调度对下游河岸冲刷影响规律的研究方法探讨  

On the Analysis Method of the Influence of Sluice Gate Dispatching Schemes on Downstream Riverbank Erosion

作　　者：肖小玲 沈家文 XIAO Xiaoling;SHEN Jiawen(Fujian Huadian Jinhu Electric Power Co.,Ltd.,Jiangle 353300,China;School of Water Resources and Hydropower Engineering,Wuhan University,Wuhan 430072,China)

机构地区：[1]福建华电金湖电力有限公司,福建将乐353300 [2]武汉大学水利水电学院,湖北武汉430072

出　　处：《水电与新能源》2019年第11期56-59,70,共5页Hydropower and New Energy

摘　　要：基于福建高唐水电站物理模型试验,观测不同洪水频率工况时不同闸门调度方案下电站下游河道水流动力条件与边坡冲刷影响的对应关系,通过神经网络高效快速地分析研究闸门调度中影响下泄流量的各因素对下游河道内水流动力条件改变程度的敏感性,进而得到闸门调度对边坡冲刷的影响规律,以科学指导高唐电站闸门调度运行管理。In order to study the influence of sluice gate dispatching schemes on downstream riverbank erosion in Fujian Gaotang Hydropower Station, physical model tests are carried out to determine the relationship between the hydro-dynamic conditions in the downstream channel and the riverbank erosion states under different dispatching schemes and different flood frequency conditions. Then, a mathematical model based on the artificial neural network is established to quantitatively analyze the influence of various factors in the gate dispatching schemes on the hydro-dynamic flow conditions in the downstream channel and thus the riverbank erosion states. Specifically, different sensitivity analysis methods are discussed and the optimal one is recommended. The results provide a scientific guidance for the sluice gate operation management of Gaotang Hydropower Station.

关 键 词：闸门调度 河岸冲刷 人工神经网络 敏感性分析 影响规律 

分 类 号：TV663[水利工程—水利水电工程]