水道港口2023，Vol.44Issue(5)：763-771,9.
长江口深水航道回淤量随水文条件变化的特征分析
Characteristic analysis of the change of back-siltation with hydrological conditions in deep navigation of the Yangtze estuary
摘要
Abstract
A neural network model for prediction of back siltation in the deep-water channel of the Yangtze Estuary under the influence of discharge,tide level,tidal range,water temperature,water depth and wave energy was established.And the prediction results of the model were used to analyze the variation pattern of siltation amount with a single factor.The results show that the amount of back-siltation varies non linearly with the flow rate,and increases linearly with the increase of wave energy,water temperature,tide level and tidal range.The discharge,wave energy and tidal range have a significant impact on the amount of back siltation in flood season,while the impact of tidal range and water temperature is relatively small.The research results provide reliable theoretical basis and clear reference indicators for the maintenance of the Yangtze River Estuary deep-water channel and the study of siltation mechanisms,which has important engineering practice significance.关键词
BP神经网络/回淤量/长江口深水航道/回淤特征Key words
BP neural network/back-siltation/Yangtze River Estuary deep water channel/retro-silting characteristics分类
交通运输引用本文复制引用
李观明,朱永楷,顾峰峰,李俊花..长江口深水航道回淤量随水文条件变化的特征分析[J].水道港口,2023,44(5):763-771,9.基金项目
上海市科学技术委员会科研计划项目(21DZ1201700,21DZ1201002) （21DZ1201700,21DZ1201002）
