基于复杂网络的流域水网关键节点识别与功能通道分类研究OA
Identification of key nodes and classification of functional channels in watershed water networks based on complex networks
针对流域水网关键节点与通道的系统分类和定量识别问题,基于复杂网络理论,构建了融合度中心性、中介中心度和特征向量中心性的综合评估体系,提出控制-可达二维分类矩阵,分类识别了我国四大流域(海河、黄河、淮河、长江流域)水网结构中的关键节点与功能通道.结果表明:淮河流域核心枢纽型通道占比22.02%,海河流域高等级节点占比 56.87%,均体现出明显的控制集中特征;黄河流域中等过渡型通道占比高达 88.10%,表现为结构均衡但缺乏强控制通道;长江流域边缘隔离型通道比例为14.45%,凸显复杂地形下的通达性不足.
To address the need for systematic classification and quantitative identification of key nodes and functional channels in water networks,this study develops a comprehensive evaluation framework based on complex network theory.The framework integrates degree,betweenness centrality,and eigenvector centrality measures,and introduces a two-dimensional control-reachability matrix for identifying and classifying key nodes and functional channels within the water network structures of China's four major river basins,including the Haihe River Basin,the Yellow River Basin,the Huaihe River Basin,and the Yangtze River Basin.The results indicate that the Huai River Basin has the highest proportion of core hub-type channels(22.02%),while the Hai River Basin shows significant polarization with 56.87%of nodes at higher grades.The proportion of medium transitional channels in the Yellow River Basin is as high as 88.10%,reflecting a balanced but weakly controlled structure.The proportion of marginally isolated channels in the Yangtze River Basin is 14.45%,indicating limited accessibility under complex terrain.
李发文;铁倩如
天津大学水利工程智能建设与运维全国重点实验室天津大学水利工程智能建设与运维全国重点实验室
复杂网络水网结构关键节点功能通道海河流域黄河流域淮河流域长江流域
complex networkwater network structurekey nodefunctional channelthe Haihe River Basinthe Yellow River Basinthe Huaihe River Basinthe Yangtze River Basin
《水资源保护》 2026 (1)
39-48,10
国家自然科学基金重点项目(52239004)
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