{"title":"Financial allocation and network recovery for interdependent wastewater treatment infrastructure: development of resilience metrics","authors":"M. Karamouz, Mohammad Movahhed, Ali Elyasi","doi":"10.1080/23789689.2022.2148447","DOIUrl":null,"url":null,"abstract":"ABSTRACT The disrupted performance of wastewater treatment plants (WWTPs) when facing floods can cause complications in urban systems’ functioning. Therefore, utilities need to improve the resilience of their facilities and establish asset restoration plans. The present study aims at investigating two metrics to improve the WWTP’s resilience. An attribute-based resilience metric is devised using a fuzzy multi-criteria decision-making (FMCDM) framework to attain a budget allocation proposition. A network model representing the interdependent infrastructure is also formulated to develop a performance-based metric. The network’s post-disaster behavior is simulated to obtain an asset restoration sequence (RS). The results indicate that considering imprecisions in experts’ views lowers the possibility of underestimation or overestimation of resilience improvement when allocating funds. Furthermore, prioritizing facilities’ restoration will increase WWTPs’ resilience. The proposed methodology, which is tested on Brooklyn, provides a resilient solution to some challenges in asset management and can be applicable to other coastal settings.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable and Resilient Infrastructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23789689.2022.2148447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT The disrupted performance of wastewater treatment plants (WWTPs) when facing floods can cause complications in urban systems’ functioning. Therefore, utilities need to improve the resilience of their facilities and establish asset restoration plans. The present study aims at investigating two metrics to improve the WWTP’s resilience. An attribute-based resilience metric is devised using a fuzzy multi-criteria decision-making (FMCDM) framework to attain a budget allocation proposition. A network model representing the interdependent infrastructure is also formulated to develop a performance-based metric. The network’s post-disaster behavior is simulated to obtain an asset restoration sequence (RS). The results indicate that considering imprecisions in experts’ views lowers the possibility of underestimation or overestimation of resilience improvement when allocating funds. Furthermore, prioritizing facilities’ restoration will increase WWTPs’ resilience. The proposed methodology, which is tested on Brooklyn, provides a resilient solution to some challenges in asset management and can be applicable to other coastal settings.
期刊介绍:
Sustainable and Resilient Infrastructure is an interdisciplinary journal that focuses on the sustainable development of resilient communities.
Sustainability is defined in relation to the ability of infrastructure to address the needs of the present without sacrificing the ability of future generations to meet their needs. Resilience is considered in relation to both natural hazards (like earthquakes, tsunami, hurricanes, cyclones, tornado, flooding and drought) and anthropogenic hazards (like human errors and malevolent attacks.) Resilience is taken to depend both on the performance of the built and modified natural environment and on the contextual characteristics of social, economic and political institutions. Sustainability and resilience are considered both for physical and non-physical infrastructure.