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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

李发文 铁倩如

水资源保护2026,Vol.42Issue(1):39-48,10.
水资源保护2026,Vol.42Issue(1):39-48,10.DOI:10.3880/j.issn.1004-6933.2026.01.005

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

Identification of key nodes and classification of functional channels in watershed water networks based on complex networks

李发文 1铁倩如1

作者信息

  • 1. 天津大学水利工程智能建设与运维全国重点实验室
  • 折叠

摘要

Abstract

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.

关键词

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

Key words

complex network/water network structure/key node/functional channel/the Haihe River Basin/the Yellow River Basin/the Huaihe River Basin/the Yangtze River Basin

引用本文复制引用

李发文,铁倩如..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[J].水资源保护,2026,42(1):39-48,10.

基金项目

国家自然科学基金重点项目(52239004) (52239004)

水资源保护

1004-6933

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