A Framework for Identifying the Critical Region in Water Distribution Network for Reinforcement Strategy from Preparation Resilience

Water distribution networks (WDNs), an interconnected collection of hydraulic control elements, are susceptible to a small disturbance that may induce unbalancing flows within a WDN and trigger large-scale losses and secondary failures. Identifying critical regions in a water distribution network (WDN) to formulate a scientific reinforcement strategy is significant for improving the resilience when network disruption occurs. This paper proposes a framework that identifies critical regions within WDNs, based on the three metrics that integrate the characteristics of WDNs with an external service function; the criticality of urban function zones, nodal supply water level and water shortage. Then, the identified critical regions are reinforced to minimize service loss due to disruptions. The framework was applied for a WDN in Dalian, China, as a case study. The results showed the framework efficiently identified critical regions required for effective WDN reinforcements. In addition, this study shows that the attributes of urban function zones play an important role in the distribution of water shortage and service loss of each region.

[1]  Fang Zhou,et al.  Robustness Analysis of Interdependent Urban Critical Infrastructure Networks Against Cascade Failures , 2019 .

[2]  Luigi Berardi,et al.  Assessing mechanical vulnerability in water distribution networks under multiple failures , 2014 .

[3]  Alessandro Pagano,et al.  Water Distribution Networks Resilience Analysis: a Comparison between Graph Theory-Based Approaches and Global Resilience Analysis , 2019, Water Resources Management.

[4]  Guangtao Fu,et al.  Topological attributes of network resilience: A study in water distribution systems. , 2018, Water research.

[5]  S. Zhao,et al.  Hybrid Hidden Markov Models for resilience metrics in a dynamic infrastructure system , 2017, Reliab. Eng. Syst. Saf..

[6]  Mingyuan Zhang,et al.  Performance and Reliability Analysis of Water Distribution Systems under Cascading Failures and the Identification of Crucial Pipes , 2014, PloS one.

[7]  Royce A. Francis,et al.  A metric and frameworks for resilience analysis of engineered and infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[8]  David H. Marks,et al.  Water Distribution Reliability: Simulation Methods , 1988 .

[9]  Min Ouyang,et al.  A mathematical framework to optimize resilience of interdependent critical infrastructure systems under spatially localized attacks , 2017, Eur. J. Oper. Res..

[10]  Kalyan R. Piratla,et al.  Comparative Evaluation of Topological and Flow-Based Seismic Resilience Metrics for Rehabilitation of Water Pipeline Systems , 2018 .

[11]  Gholamreza Naser,et al.  Water distribution system reliability under simultaneous multicomponent failure scenario , 2014 .

[12]  Enrico Zio,et al.  Component Criticality in Failure Cascade Processes of Network Systems , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[13]  Kevin E Lansey,et al.  Resilience/Availability Analysis of Municipal Water Distribution System Incorporating Adaptive Pump Operation , 2013 .

[14]  Puneet Khatavkar,et al.  Resilience of Water Distribution Systems during Real-Time Operations under Limited Water and/or Energy Availability Conditions , 2019, Journal of Water Resources Planning and Management.

[15]  Bozidar Stojadinovic,et al.  A Framework for Linking Community-Resilience Goals to Specific Performance Targets for the Built Environment , 2015 .

[16]  Orazio Giustolisi,et al.  Identification of segments and optimal isolation valve system design in water distribution networks , 2010 .

[17]  Ping He,et al.  Modelling Water Distribution Systems with Deficient Pressure: An Improved Iterative Methodology , 2015, Water Resources Management.

[18]  Yongbo Yuan,et al.  A Framework of Identifying Critical Water Distribution Pipelines from Recovery Resilience , 2019, Water Resources Management.

[19]  Orazio Giustolisi,et al.  Demand Components in Water Distribution Network Analysis , 2012 .

[20]  Kash Barker,et al.  A review of definitions and measures of system resilience , 2016, Reliab. Eng. Syst. Saf..

[21]  Mingyuan Zhang,et al.  Node vulnerability of water distribution networks under cascading failures , 2014, Reliab. Eng. Syst. Saf..

[22]  Jay R. Lund,et al.  Network Analysis and Visualizations of Water Resources Infrastructure in California: Linking Connectivity and Resilience , 2016 .

[23]  J. Nieminen On the centrality in a graph. , 1974, Scandinavian journal of psychology.

[24]  Zoran Kapelan,et al.  Improving the Resilience of Postdisaster Water Distribution Systems Using Dynamic Optimization Framework , 2020 .

[25]  Min Ouyang,et al.  Vulnerability analysis of interdependent infrastructure systems under edge attack strategies , 2013 .

[26]  Guangtao Fu,et al.  Reliable, resilient and sustainable water management: the Safe & SuRe approach , 2016, Global challenges.

[27]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[28]  Min Ouyang,et al.  A three-stage resilience analysis framework for urban infrastructure systems , 2012 .

[29]  Quanwang Li,et al.  Measuring and enhancing resilience of building portfolios considering the functional interdependence among community sectors , 2017 .

[30]  Yue Li,et al.  Seismic Functionality and Resilience Analysis of Water Distribution Systems , 2020 .

[31]  Min Ouyang,et al.  Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis , 2015, Reliab. Eng. Syst. Saf..

[32]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[33]  Min Ouyang,et al.  Critical location identification and vulnerability analysis of interdependent infrastructure systems under spatially localized attacks , 2016, Reliab. Eng. Syst. Saf..