Sudong Xu

BISRF-Net: A Baseline-Preserving Scale-Guided Residual Feature Routing Network for UAV-Based Inland Waterway Lock Monitoring

Boju Li, Xiaodong Lü, Sudong Xu, Haiyang Xu et autres

Unmanned aerial vehicle (UAV) acquired imagery provides a flexible non-contact visual sensing modality for monitoring inland waterway locks, yet reliable perception remains challenging due to significant scale variation among targets, as well as partial visibility, low contrast, water-surface texture variation, and complex …

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A Dual-Tower Global–Local Framework for Short-Term Multi-Buoy Significant-Wave-Height Forecasting

Tianyi Gao, Mengdi Ma, Sudong Xu, Weikai Tan et autres

Accurate short-term significant-wave-height forecasting is important for the safe and efficient operation of coastal and offshore activities. However, forecasting across sparse buoy networks remains challenging because wave conditions exhibit complex temporal variability and spatial dependence. This study proposes an Enhanced Crossformer, a …

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Simulation-Based Maritime Scheduling Optimization for Bidirectional Ship Flow in Multi-Chamber Lock Systems: Incorporating Chamber Operations for Efficient Management

Nini Zhang, Xin Li, Wen Xie, Sudong Xu et autres

This paper addresses the bidirectional multi-chamber lock scheduling problem by formulating a multi-objective mixed-integer linear programming (MILP) model that simultaneously minimizes average ship waiting time and maximizes chamber utilization. A tailored adaptive large neighborhood search (ALNS) algorithm is developed specifically based on …

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Effects of monopodial branching flexible vegetation on the wave attenuation by vegetation

Hui Xu, Xu Hui, Kai Yin, Sudong Xu et autres

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Research on Risk Assessment and Prevention–Control Measures for Immersed Tunnel Construction in 100 m-Deep Water Environments

Haiyang Xu, Zhengzhong Qiu, Sudong Xu, Liuyan Mao et autres

With the rapid development of cross-sea infrastructure, the immersed tube method has been increasingly applied to deep-water immersed-tube tunnel construction. However, when the construction depth reaches the scale of one hundred meters, issues such as high hydrostatic pressure, complex hydrological conditions, and …

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Improving storm surge predictions in the Gulf of Mexico by enhancing a parametric model of tropical cyclone

Mengdi Ma, Wenrui Huang, Sudong Xu, Kai Yin et autres

Accurate storm surge prediction requires reliable representation of hurricane wind fields. The widely used Holland2010 model describes the wind structure with maximum wind speed, central pressure, and the radius of maximum wind, but it does not account for other observed wind radii …

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Corrigendum to “Shallow water effect-informed estimation of inland ship emissions: A case study of the North Jiangsu Canal” [Ocean Eng. 341, Part 2, (1) (2025) 122438]

Wen Xie, Sudong Xu, Cheng Cheng, Nini Zhang et autres

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Shallow water effect-informed estimation of inland ship emissions: A case study of the North Jiangsu Canal

Wen Xie, Sudong Xu, Cheng Cheng, Nini Zhang et autres

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Machine Learning-Based Short-Term Forecasting of Significant Wave Height During Typhoons Using SWAN Data: A Case Study in the Pearl River Estuary

Mengdi Ma, Guoliang Chen, Sudong Xu, Kai Yin

Accurate wave forecasting under typhoon conditions is essential for coastal safety in the Pearl River Estuary. This study explores the use of Random Forest (RF) and Long Short-Term Memory (LSTM) models to predict significant wave heights, using SWAN-simulated data from 87 historical …

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Study on Stress Monitoring and Risk Early Warning of Flexible Mattress Deployment in Deep-Water Sharp Bend Reaches

Chu Zhang, Ping Li, Kai Wu, Tianyu Chen et autres

This study addresses the complex challenges associated with flexible mattress (soft mattress) installation in the sharply curved and deep-water sections of the Yangtze River, particularly in the Yaozui revetment reconstruction project. Under extreme hydrodynamic conditions—water depths exceeding 30 m and velocities over …

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Advanced prediction of maritime vessel traffic flow using spatio-temporal multi-graph convolutional networks within inland waterways

Nini Zhang, Weikai Tan, Ran Yan, Sudong Xu et autres

Abstract Accurate vessel traffic prediction is significant for efficient waterway management and lock scheduling. This paper presents a deep-learning framework that integrates a multi-graph convolutional network with a gated recurrent unit network, considering spatio-temporal patterns appropriately, for vessel traffic flow prediction. Three …

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Numerical Simulation of Ship Wave Characteristics Under Different Navigation Conditions in the Restricted Waterway of the Pinglu Canal

Chu Zhang, T.C.E. Cheng, Shishuang Wu, J. Q. You et autres

The Pinglu Canal is a strategic inland restricted waterway under construction in southwest China. Its ship wave superposition characteristics under conditions of high-density shipping and large ships may threaten navigation safety, but little related research has been performed. Based on the Pinglu …

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