Addressing navigation-obstructing problems of significant annual siltation and unstable navigation channels in key waterways like Fujiangsha and Kouanzhi along the 12.5-m deep-water channel below Nanjing in the Yangtze River,we utilize the field topographic and sediment data from 2022 to 2024,multibeam bathymetry,and a two-dimensional sediment transport model to analyze channel evolution characteristics and evaluate dynamic maintenance dredging effectiveness.We elaborate on the implementation process and technical advantages of the integrated“monitoring-analysis-dredging-evaluation”dynamic maintenance approach.The results indicate that the introduction of a dynamic dredging strategy,which combines multibeam high-frequency scanning with model predictions,enables precise identification and timely dredging of critical sedimentation zones,enhancing maintenance efficiency by about 15%.The total dredging volume in Fujiangsha waterway decreases from 10.267 million m3 in 2022 to 7.301 million m3 in 2024,a reduction of 28.8%,while Kouanzhi waterway’s volume fluctuats from 5.798 million m3 to 7.096 million m3,with a significant increase in the Manyusha section due to special hydrological conditions.The error between the predicted values of the model and the measured values is less than 15%,verifying method reliability.Integrating intelligent monitoring with precision dredging in a proactive maintenance strategy effectively enhances navigation stability and maintenance cost-effectiveness,providing technical support for efficient maintenance of the Yangtze River’s golden waterway.