基于复杂网络理论的城市供排水系统规划优化
作者:
作者单位:

(1.中国市政工程西南设计研究总院有限公司,四川 成都 610000; 2.中国市政工程中南设计研究总院有限公司, 湖北 武汉430000)

作者简介:

龙霞(1986—), 女, 本科, 工程师, 从事给排水设计工作。

中图分类号:

TU99


Planning Optimization of Urban Water Supply and Drainage System Based on Complex Network Theory
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    摘要:

    研究一种可以用于城市供排水系统规划优化过程的复杂网络理论应用策略,并将其应用于规划个案。通过复杂网络理论对某城市供排水系统进行分析,同时通过仿真分析法得到其规划优化方案的复杂网络结构熵和特征谱结果,在差值分析、minmax重投影分析、二次熵值分析的流程下,对其结构熵和特征谱进行深度分析并使其统计学特征显著化。分析后发现单纯使用复杂网络模型对方案进行分析,其分析结果的特征并不明显,所以在此基础上进行算法扩增,引入二次熵值法使其数据特征更加显著。最终选择单独新建水源井B井的方案作为城市供排水方案的规划优化方案。

    Abstract:

    A complex network theory application strategy able to use in the urban water supply and drainage system planning optimization process is studied, and is applied to the planned cases. The complex network theory is used to analyze the water supply and drainage system of a city, and the results of complex network structure entropy and characteristic spectrum of its planning optimization scheme are obtained by simulation analysis method. In the process of difference value analysis, MinMax re-projection analysis and secondary entropy analysis, the structure entropy and characteristic spectrum are deeply analyzed, and the statistical characteristics are made significant. After analysis, it is found that the characteristics of the analysis results are not obvious if only using the complex network model to analyze the scheme. Therefore, the algorithm is expanded on this basis, and the quadratic entropy method is introduced to make the data characteristics more significant. Finally, the scheme of newly built water source well B is selected as the planning optimization scheme of urban water supply and drainage scheme.

    参考文献
    [1] 王敏,朱明.基于复杂网络理论的空中交通流时间序列分析[J].航空计算技术,2020,50(5):61-65.
    [2] Yuxuan Zhao,Shengyuan Liu,Zhenzhi Lin,et al. Identification of critical lines for enhancing disaster resilience of power systems with renewables based on complex network theory[J]. IET Generation, Transmission & Distribution,2020,14(20):4459-4467.
    [3] 安沈昊,于荣欢.复杂网络理论研究综述[J].计算机系统应用,2020,29(9):26-31.
    [4] 漆庆宇.基于复杂网络的中国高速铁路网络分析[J].物流工程与管理,2020,42(9):22-24,18.
    [5] Shengyu Guo,Xinyu Zhou,Bing Tang,et al. Exploring the behavioral risk chains of accidents using complex network theory in the construction industry[J]. Physica A: Statistical Mechanics and its Applications,2020,560.
    [6] E Frutos Bernal,A Martín del Rey,P Galindo Villardón.Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective[J]. Applied Sciences,2020,10(16).
    [7] Z Q Cai,Z H Cao.Channel Selection Strategy for a Retailer with Finance Constraint in a Supply Chain Based on Complex Network Theory[J]. Journal of Technology,2020.
    [8] Sun Na,Xia Zhengyun,et al. Invulnerability Analysis of Electric Power Optical Transmission Network in Smart Grid Based on Complex Networks[J]. Journal of Physics: Conference Series,2020,1621(1).
    [9] Javier Gomez Pilar. Characterization of Neural Activity Using Complex Network Theory[M]. Berlin:Springer,2020.
    [10] 刘广奇,赵志伟,白桦.基于复杂网络理论的城市供排水系统规划优化[J].中国给水排水,2020,36(13):113-118.
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龙霞,朱建树.基于复杂网络理论的城市供排水系统规划优化[J].城市道桥与防洪,2021,(6):142-145.

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  • 收稿日期:2021-03-28
  • 在线发布日期: 2021-10-24
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