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Connectivity Evaluation and Planning of a River-Lake System in East China Based on Graph Theory

机译：基于图论的华东江湖系统连通性评价与规划

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摘要

The connectivity of the stream network plays an important role in water-mediated transport and river environments, which are threatened by the rugged development process in China. In this study, based on graph theory, a connectivity evaluation index system was built, which includes the Edge Connectivity, Edge-Node rate, Connectivity Reliability, and Edge Weight. The new evaluation standard and calculation method of each index is presented. The river-lake system of Fenhu industrial park in Jiangsu China is simplified to an Edge-Node graph and evaluated by the index system as a case study. The results indicate that the river-lake system of the research area has low Edge Connectivity, a high Edge-Node rate, and high reliability in the current connectivity level. In addition, the Edge Weight index of several channels does not satisfy the standard of the Basic Edge Weight. To solve the connectivity problems, specific project plans include broadening the unqualified channel and building canals linked with the low-connectivity lakes. The results show that, after the planning, the connectivity of the stream network in Fenhu industrial park will increase, and the connectivity evaluation index system is useful in the study area.
机译：河流网络的连通性在水介导的运输和河流环境中起着重要作用，而水路运输和河流环境正受到中国崎development的发展进程的威胁。在本研究中，基于图论，建立了连接评估指标体系，其中包括边缘连接，边缘节点速率，连接可靠性和边缘权重。提出了各指标的新评价标准和计算方法。将江苏省hu湖工业园区的河湖系统简化为边缘节点图，并通过指标体系进行了评估。结果表明，该研究区的河湖系统边缘连通性低，边缘节点速率高，在当前连通性水平上具有较高的可靠性。另外，多个通道的“边缘权重”指标不满足“基本边缘权重”标准。为了解决连通性问题，具体的项目计划包括拓宽不合格的河道和修建与低连通性湖泊相连的运河。结果表明，经过规划，F湖工业园区内河网的连通性将得到提高，连通性评价指标体系在研究区域内是有用的。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第9期|1361867.1-1361867.12|共12页
  • 作者

    Chen Jing; Xiao Chenguang; Chen Dan;

  • 作者单位

    Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA;

    Hohai Univ, Coll Water Conservancy & Hydropower Engn, Minist Educ, Key Lab Efficient Irrigat Drainage & Agr Soil Wat, Nanjing 210098, Jiangsu, Peoples R China;

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