Research on the Navigation Safety of Xiaoqing River Restoration Project Based on Simulation Model
Given the issues of missing navigational management at ship lock hubs, operational risks from oversized vessels, narrowed navigation channels caused by bridge piers crossing the river, and the impact on vessel maneuvering during flood season drainage and waterlogging, a new approach is proposed for...
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Published in | 2024 12th International Conference on Traffic and Logistic Engineering (ICTLE) pp. 145 - 149 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
23.08.2024
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Subjects | |
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Abstract | Given the issues of missing navigational management at ship lock hubs, operational risks from oversized vessels, narrowed navigation channels caused by bridge piers crossing the river, and the impact on vessel maneuvering during flood season drainage and waterlogging, a new approach is proposed for studying the navigational safety of the Xiaoqing River based on hydrodynamic and ship maneuvering simulation models. This approach includes assessing dangerous sections in the restoration project of the Xiaoqing River, constructing hydrodynamic and ship maneuvering simulation models for it, determining model parameters for dangerous sections, and solving the model. The experimental results indicate that the K18 curved channel experiences no flooding or overflowing in the presence of a 5-year flood discharge, with all floodwaters pooling within the channel without spilling onto the banks. The maximum longitudinal flow velocity within the channel is 1.23 m/s, and the maximum lateral flow velocity is 0.05 m/s; the recommended navigation speed for this curved channel ranges from 6 to 8 kn. By integrating the results from a hydrodynamics simulation model and a ship maneuvering simulation model, we propose operational techniques and management recommendations for navigating the hazardous sections of the Xiaoqing River, providing technical support for the safe and efficient restoration of navigation on the Xiaoxing River. |
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AbstractList | Given the issues of missing navigational management at ship lock hubs, operational risks from oversized vessels, narrowed navigation channels caused by bridge piers crossing the river, and the impact on vessel maneuvering during flood season drainage and waterlogging, a new approach is proposed for studying the navigational safety of the Xiaoqing River based on hydrodynamic and ship maneuvering simulation models. This approach includes assessing dangerous sections in the restoration project of the Xiaoqing River, constructing hydrodynamic and ship maneuvering simulation models for it, determining model parameters for dangerous sections, and solving the model. The experimental results indicate that the K18 curved channel experiences no flooding or overflowing in the presence of a 5-year flood discharge, with all floodwaters pooling within the channel without spilling onto the banks. The maximum longitudinal flow velocity within the channel is 1.23 m/s, and the maximum lateral flow velocity is 0.05 m/s; the recommended navigation speed for this curved channel ranges from 6 to 8 kn. By integrating the results from a hydrodynamics simulation model and a ship maneuvering simulation model, we propose operational techniques and management recommendations for navigating the hazardous sections of the Xiaoqing River, providing technical support for the safe and efficient restoration of navigation on the Xiaoxing River. |
Author | Gao, Jin Fang, Yinghao Liu, Donghua Zhang, Junhui Li, Ruibin |
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Snippet | Given the issues of missing navigational management at ship lock hubs, operational risks from oversized vessels, narrowed navigation channels caused by bridge... |
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SubjectTerms | Bridges Discharges (electric) Floods hydrodynamic simulation model Hydrodynamics Logistics Marine vehicles Navigation navigation safety Rivers Safety ship maneuvering simulation model Transportation Xiaoqing River |
Title | Research on the Navigation Safety of Xiaoqing River Restoration Project Based on Simulation Model |
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