江西科学2025，Vol.43Issue(4)：651-659,9.DOI:10.13990/j.issn1001-3679.2025.04.011
水动力和机器学习耦合下内河航道等级智能识别
Intelligent Classification of Inland Waterway Grades Based on Coupled Hydrodynamic Modeling and Machine Learning
摘要
Abstract
The classification of inland waterways is influenced by complex spatiotemporal re-sponses of hydrological and hydrodynamic factors within the flow field.Developing a classifi-cation model based on such response mechanisms is a prerequisite for refined reservoir man-agement.In this study,a distributed hydrodynamic model was employed to the Xiajiang-Xingan section of the Ganjiang River to simulate daily hydrological and hydrodynamic processes.Inland waterway classification model was built by coupling the probability distri-bution of hydrological and hydrodynamic elements and machine learning alg orithms.The in-land waterway classes'spatiotemporal distribution was assessed using the model.It indicated that the hydro-hydrodynamic simulation presented a relatively high accuracy,proved by the determination coefficient(R2)≥0.84 and Nash-Sutcliffe efficiency coefficient≥0.75.Stable distribution was detected as the best fitted one for the river width,water depth,and radius of curvature,the characteristic exponent,symmetry,scale,and location parameters of which ranged at 1.21～1.61,-1.00～1.00,0.31～108.32 and 3.51～969.11.Artificial neural networks and related alg orithms were shown to be suitable for waterway grade recog-nition,with both modeling and validation periods achieving R2 and Nash coefficients≥0.98.Waterway grades were generally maintained at Grade III or higher,with the lowest as-surance rate of Grade III occurring downstream of the Xiajiang Dam during the dry season,which emphasized key regions and periods for targeted channel management.关键词
水文学/航道等级/机器学习/水动力模拟/边际分布Key words
hydrology/ranking of waterway/machine learning/hydrodynamic simulation/marginal distribution分类
建筑与水利引用本文复制引用
章雨铖,白桦,曹裕霖,肖文昌,戈晓斌,杨筱筱,温珍玉,李斌..水动力和机器学习耦合下内河航道等级智能识别[J].江西科学,2025,43(4):651-659,9.基金项目
江西省重点研发计划项目(20212BBG71014) （20212BBG71014）
江西省水利厅科技项目(202425YBKT15) （202425YBKT15）
江西省港航建设投资集团有限公司科技项目(2023-YJY-RD02). （2023-YJY-RD02）
