Water Distribution Networks Resilience Analysis: a Comparison between Graph Theory-Based Approaches and Global Resilience Analysis

被引:0
|
作者
Alessandro Pagano
Chris Sweetapple
Raziyeh Farmani
Raffaele Giordano
David Butler
机构
[1] Water Research Institute – National Research Council (IRSA-CNR),Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences
[2] University of Exeter,undefined
来源
关键词
Resilience assessment; Water distribution networks; Global resilience analysis; Graph-theory metrics;
D O I
暂无
中图分类号
学科分类号
摘要
The structure and connectivity of infrastructure systems such as water distribution networks (WDNs) affect their reliability, efficiency and resilience. Suitable techniques are required to understand the potential impacts of system failure(s), which can result from internal (e.g. water hammer) or external (e.g. natural hazards) threats. This paper aims to compare two such techniques: Graph Theory (GT) and Global Resilience Analysis (GRA). These are applied to a real network – L’Aquila (central Italy) – and two benchmark networks – D-Town and EXNET. GT-based metrics focus on the topology of WDNs, while GRA provides a performance-based measure of a system’s resilience to a given system failure mode. Both methods provide information on the response of WDNs to pipe failure, but have different data requirements and thus different computational costs and precision. The results show that although GT measures provide considerable insight with respect to global WDN behavior and characteristics, performance-based analyses such as GRA (which provide detailed information on supply failure duration and magnitude) are crucial to better understand the local response of WDNs to pipe failure. Indeed, particularly for complex networks, topological characteristics may not be fully representative of hydraulic performances and pipe failure impacts.
引用
收藏
页码:2925 / 2940
页数:15
相关论文
共 50 条
  • [1] Water Distribution Networks Resilience Analysis: a Comparison between Graph Theory-Based Approaches and Global Resilience Analysis
    Pagano, Alessandro
    Sweetapple, Chris
    Farman, Raziyeh
    Giordano, Raffaele
    Butler, David
    [J]. WATER RESOURCES MANAGEMENT, 2019, 33 (08) : 2925 - 2940
  • [2] Global resilience analysis of water distribution systems
    Diao, Kegong
    Sweetapple, Chris
    Farmani, Raziyeh
    Fu, Guangtao
    Ward, Sarah
    Butler, David
    [J]. WATER RESEARCH, 2016, 106 : 383 - 393
  • [3] NETWORK ANALYSIS FOR RESILIENCE EVALUATION IN WATER DISTRIBUTION NETWORKS
    Candelieri, Antonio
    Soldi, Davide
    Archetti, Francesco
    [J]. ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2015, 14 (06): : 1261 - 1270
  • [4] The structure of electrical networks: a graph theory-based analysis
    Atkins, Karla
    Chen, Jiangzhuo
    Kumar, V. S. Anil
    Marathe, Achla
    [J]. INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURES, 2009, 5 (03) : 265 - 284
  • [5] Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks
    Ulusoy A.-J.
    Stoianov I.
    Chazerain A.
    [J]. Applied Network Science, 3 (1)
  • [6] Uncertainty Theory-Based Resilience Analysis for LEO Satellite Communication Systems
    Ma, Ji
    Kang, Rui
    Li, Ruiying
    Zhang, Qingyuan
    Liu, Liang
    Wang, Xuewang
    [J]. SYMMETRY-BASEL, 2022, 14 (08):
  • [7] Graph Theory-based Ship Power System Expansion Strategy for Enhanced Resilience
    Lai, Kexing
    Illindala, Mahesh S.
    [J]. 2018 IEEE/IAS 54TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2018,
  • [8] Resilience assessment of water distribution networks - Bibliometric analysis and systematic review
    Assad, Ahmed
    Bouferguene, Ahmed
    [J]. JOURNAL OF HYDROLOGY, 2022, 607
  • [9] Exploratory Analysis of Surrogate Metrics to Assess the Resilience of Water Distribution Networks
    Carneiro, Joana
    Loureiro, Dalia
    Covas, Didia
    [J]. WATER RESOURCES RESEARCH, 2023, 59 (08)
  • [10] An open-source toolbox for investigating functional resilience in sewer networks based on global resilience analysis
    Kamali, Behnaz
    Ziaei, Ali Naghi
    Beheshti, Aliasghar
    Farmani, Raziyeh
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 218