{"title":"Resilience assessment of water distribution networks exposed to substance intrusion","authors":"E. Rokstad, C. Makropoulos, M. M. Rokstad","doi":"10.1080/1573062X.2023.2237944","DOIUrl":null,"url":null,"abstract":"ABSTRACT Resilience in water distribution systems is the ability to detect, respond and recover from disruptive events and calamities, such as extreme weather, natural disasters, human errors, and malicious attacks. A system’s resilience can be influenced by its topology. This study applies a novel network generation procedure based on the C-town benchmark network to produce 296 network variants with similar structures yet unique topological features. Then, a stress-testing procedure is applied to expose these variants to a set of substance intrusion scenarios. Finally, their performance is ranked according to a set of resilience metrics, and their relationship to the network design is evaluated based on topological attributes through correlation analysis. The results suggest that specific topological attributes, often characterized as a branched network design, tend to be more resilient when exposed to quality-related failures. As such, it provides insights into the relationship between topology and resilience of water distribution systems.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1110 - 1122"},"PeriodicalIF":1.6000,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Water Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1573062X.2023.2237944","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Resilience in water distribution systems is the ability to detect, respond and recover from disruptive events and calamities, such as extreme weather, natural disasters, human errors, and malicious attacks. A system’s resilience can be influenced by its topology. This study applies a novel network generation procedure based on the C-town benchmark network to produce 296 network variants with similar structures yet unique topological features. Then, a stress-testing procedure is applied to expose these variants to a set of substance intrusion scenarios. Finally, their performance is ranked according to a set of resilience metrics, and their relationship to the network design is evaluated based on topological attributes through correlation analysis. The results suggest that specific topological attributes, often characterized as a branched network design, tend to be more resilient when exposed to quality-related failures. As such, it provides insights into the relationship between topology and resilience of water distribution systems.
期刊介绍：
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...
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