国家水网复杂网络模型构建及结构特征分析

Construction and structural feature analysis of complex network model for National Water Network

  • 摘要: 定量解析国家水网的拓扑结构与演变规律,可为国家水网的高质量建设与空间布局优化提供理论支撑。本文基于复杂网络理论构建国家水网复杂网络模型,通过结构与流量的度分布评估全局特性,采用融合中心性指数识别重要结点,并引入改进的InfoMap算法划分水力联系区。研究表明:跨流域调水显著提升了水网连通性与配置均衡性,度数大于3的结点由30个增至159个,低流量结点占比上升;现阶段黄河、淮河、海河和长江四大流域的关键性与枢纽性结点占比分别为95.1%和100%;全网水力联系区由125个合并至104个。总体而言,调水工程在拓扑层面重塑了水网连通性,黄河、淮河、海河和长江四大流域已形成高度耦合的水力联系区,未来水网安全保障亟需转向全网统筹的协同与韧性管理。

     

    Abstract: Quantitative analysis of the topological structure and evolutionary patterns of the National Water Network can provide theoretical support for the high-quality development and spatial layout optimization of this network. This study develops a complex network model of the national water network on the basis of complex network theory. Global characteristics are evaluated through the degree distributions of network structure and flow. Important nodes are identified by means of a fusion centrality index, and an improved InfoMap algorithm is introduced to delineate hydraulic connection zones. The results indicate that inter-basin water transfer has substantially enhanced the connectivity and structural balance of the water network, with the number of nodes with a degree greater than 3 increasing from 30 to 159 and the proportion of low-flow nodes also rising. At present, the proportions of key nodes and hub nodes in the four major river basins, namely the Yellow River, Huai River, Hai River, and Yangtze River basins, have reached 95.1% and 100%, respectively. In addition, the number of hydraulic connection zones across the entire network has decreased from 125 to 104. Overall, water transfer projects have reshaped the connectivity of the water network at the topological level, and the four major river basins of the Yellow River, Huai River, Hai River, and Yangtze River have formed highly coupled hydraulic connection zones. In the future, the security of the water network urgently requires a transition toward coordinated and resilient management at the scale of the entire network.

     

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