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

作　　者：李观明 朱永楷 顾峰峰 李俊花 LI Guanming;ZHU Yongkai;GU Fengfeng;LI Junhua(College of Ocean Science and Engineering,Shanghai Maritime University,Shanghai 201306,China;Shanghai Huaer Zizhu Academy,Shanghai 201100,China;Key Laboratory of Ministry of Transport,Shanghai Estuarine&Coastal Science Research Center,Shanghai 201201,China)

机构地区：[1]上海海事大学海洋科学与工程学院,上海201306 [2]上海市华二紫竹国际学院,上海201100 [3]上海河口海岸科学研究中心河口海岸交通行业重点实验室,上海201201

出　　处：《水道港口》2023年第5期763-771,共9页Journal of Waterway and Harbor

基　　金：上海市科学技术委员会科研计划项目(21DZ1201700,21DZ1201002)。

摘　　要：文章以流量、潮位、潮差、水温、水深和波能为影响因子,建立了长江口深水航道回淤预测的神经网络模型,并利用该模型的预测结果分析了回淤量随单一影响因子的变化规律。结果表明:全航道回淤总量随流量呈一定的非单线性变化特征;波能、水温、潮位和潮差对回淤量的影响基本呈单线性变化特征,回淤量随各水文要素的增大而增大;洪季条件下对回淤量影响较大的水文条件分别为流量、波能和潮位,而潮差和水温变化的影响相对较小。本文的研究成果为长江口深水航道的维护以及回淤机制的研究提供可靠的理论依据和明确的参考指标,具有重要的工程实践意义。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 

分 类 号：U65[交通运输工程—港口、海岸及近海工程] TV143[交通运输工程—船舶与海洋工程]