Pub Date : 2023-02-27DOI: 10.1080/23789689.2023.2180251
E. Porse, Caitlyn Leo, Erick Eschker, H. Leverenz, Jonathan Kaplan, J. Johnston, D. Keene, David Babchanik
ABSTRACT In California, wastewater systems have adapted to water conservation and drought for decades. Yet, few studies have investigated how past design assumptions influence potential mitigation and adaptation actions. This paper evaluates adaptation pathways for wastewater management in California and addresses two questions. First, are wastewater facilities experiencing challenges from mismatches in design flow values and current rates of influent flow? Second, what, if any, adaptation actions are underway or planned? To answer these questions, we compiled historical literature and conducted surveys and interviews with wastewater system managers. Approximately half of respondents indicated that they are experiencing challenges associated with changing water use rates. Aging systems have implemented many types of mitigation and adaptation actions, including operational changes, chemical additions, and facility rebuilds. California’s wastewater industry is largely pursuing an incremental adaptation pathway to manage drought and climate change. The paper demonstrates an engaged approach to research on climate change adaptation.
{"title":"Adapting wastewater management systems in California for water conservation and climate change","authors":"E. Porse, Caitlyn Leo, Erick Eschker, H. Leverenz, Jonathan Kaplan, J. Johnston, D. Keene, David Babchanik","doi":"10.1080/23789689.2023.2180251","DOIUrl":"https://doi.org/10.1080/23789689.2023.2180251","url":null,"abstract":"ABSTRACT In California, wastewater systems have adapted to water conservation and drought for decades. Yet, few studies have investigated how past design assumptions influence potential mitigation and adaptation actions. This paper evaluates adaptation pathways for wastewater management in California and addresses two questions. First, are wastewater facilities experiencing challenges from mismatches in design flow values and current rates of influent flow? Second, what, if any, adaptation actions are underway or planned? To answer these questions, we compiled historical literature and conducted surveys and interviews with wastewater system managers. Approximately half of respondents indicated that they are experiencing challenges associated with changing water use rates. Aging systems have implemented many types of mitigation and adaptation actions, including operational changes, chemical additions, and facility rebuilds. California’s wastewater industry is largely pursuing an incremental adaptation pathway to manage drought and climate change. The paper demonstrates an engaged approach to research on climate change adaptation.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46434761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-14DOI: 10.1080/23789689.2023.2171197
Yan Zhang, L. Chouinard, G. Power, D. Conciatori, K. Sasai, Abdoul S. Bah
ABSTRACT Infrastructure asset management is concerned with the efficient and sustainable utilization of resources. There are numerous sources of uncertainties associated with the physical state of the infrastructure, climate change, and the economy. Thus, the most appropriate decision-making process to select maintenance and replacement strategies that are sustainable, economical, and safe should also be well informed in terms of risks. The decision process is formulated as a multi-objective optimization problem and exemplified the case for targeted performance levels and total costs, and solved using both Multi-Objective Particle Swarm Optimization (MOPSO) and a Non-dominated Sorting Genetic Algorithm II (NSGA-II). The results indicate that annual budget constraints have a significant effect on the Pareto front and the schedule associated with individual solutions. The proposed approach provides a useful and flexible decision-analysis tool for managers by allowing for multiple objective optimization in scheduling future interventions towards the sustainability of infrastructure.
{"title":"Multi-objective optimization for the sustainability of infrastructure projects under the influence of climate change","authors":"Yan Zhang, L. Chouinard, G. Power, D. Conciatori, K. Sasai, Abdoul S. Bah","doi":"10.1080/23789689.2023.2171197","DOIUrl":"https://doi.org/10.1080/23789689.2023.2171197","url":null,"abstract":"ABSTRACT Infrastructure asset management is concerned with the efficient and sustainable utilization of resources. There are numerous sources of uncertainties associated with the physical state of the infrastructure, climate change, and the economy. Thus, the most appropriate decision-making process to select maintenance and replacement strategies that are sustainable, economical, and safe should also be well informed in terms of risks. The decision process is formulated as a multi-objective optimization problem and exemplified the case for targeted performance levels and total costs, and solved using both Multi-Objective Particle Swarm Optimization (MOPSO) and a Non-dominated Sorting Genetic Algorithm II (NSGA-II). The results indicate that annual budget constraints have a significant effect on the Pareto front and the schedule associated with individual solutions. The proposed approach provides a useful and flexible decision-analysis tool for managers by allowing for multiple objective optimization in scheduling future interventions towards the sustainability of infrastructure.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43629021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-12DOI: 10.1080/23789689.2023.2175133
Saeid Charani Shandiz, B. Rismanchi, G. Foliente, L. Aye
ABSTRACT New community-scale developments should address both greenhouse gas emissions mitigation and climate adaptation goals. This paper presents a systematic approach to energy master planning (EMP) of net-zero emissions communities via probabilistic analysis of the resilience and cost effectiveness of various energy provision portfolios (supply, conversion and storage) in early design stage. Applied in the EMP of a new university satellite campus, comprising of five buildings with mixed energy uses, both the 2050 net-zero emissions and the energy resilience objectives are met by an energy provision portfolio that consists of air source heat pumps for heating and cooling, and a combination of PV panels, purchased green power, standard (non-green) grid power, battery and thermal heat and cold storage tanks – with only a modest 6% increase in costs compared to a reference solution. The case project demonstrates the financial feasibility of a resilient energy system that also meets a net-zero emissions objective.
{"title":"A model for energy master planning and resilience assessment of net-zero emissions community","authors":"Saeid Charani Shandiz, B. Rismanchi, G. Foliente, L. Aye","doi":"10.1080/23789689.2023.2175133","DOIUrl":"https://doi.org/10.1080/23789689.2023.2175133","url":null,"abstract":"ABSTRACT New community-scale developments should address both greenhouse gas emissions mitigation and climate adaptation goals. This paper presents a systematic approach to energy master planning (EMP) of net-zero emissions communities via probabilistic analysis of the resilience and cost effectiveness of various energy provision portfolios (supply, conversion and storage) in early design stage. Applied in the EMP of a new university satellite campus, comprising of five buildings with mixed energy uses, both the 2050 net-zero emissions and the energy resilience objectives are met by an energy provision portfolio that consists of air source heat pumps for heating and cooling, and a combination of PV panels, purchased green power, standard (non-green) grid power, battery and thermal heat and cold storage tanks – with only a modest 6% increase in costs compared to a reference solution. The case project demonstrates the financial feasibility of a resilient energy system that also meets a net-zero emissions objective. ","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46549688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-08DOI: 10.1080/23789689.2023.2175139
Antonio Krishnamurti Beleño de Oliveira, Lucas Magalhães Carneiro Alves, Carolina Lopes Carvalho, A. Haddad, Paulo Canedo de Magalhães, M. Miguez
ABSTRACT This study aims to provide a framework to analyse future flood scenarios considering the effects of three main drivers of flood aggravation: climate change (rainfall intensification and sea level rise); unplanned urbanization; and poor maintenance of urban drainage systems. These stressors were chosen because they represent the aggravation of a natural phenomenon, the urban sprawl effects and the degradation of the drainage system. This analysis intends to make it clear what the main drivers of increasing risks are. Subsequently, a uchronic scenario is developed to analyse how adequate urban planning and infrastructure provision can contribute to a sustainable and resilient city regarding flood alleviation. The method is supported by hydrodynamic simulation. Results demonstrate that precarious urban growth without providing adequate infrastructure coverage can be even more dramatic than climate change. Otherwise, the uchronic scenario demonstrates the benefits of adequately planning cities in a sustainable way, giving lessons to this process.
{"title":"A framework for assessing flood risk responses of a densely urbanized watershed, to support urban planning decisions","authors":"Antonio Krishnamurti Beleño de Oliveira, Lucas Magalhães Carneiro Alves, Carolina Lopes Carvalho, A. Haddad, Paulo Canedo de Magalhães, M. Miguez","doi":"10.1080/23789689.2023.2175139","DOIUrl":"https://doi.org/10.1080/23789689.2023.2175139","url":null,"abstract":"ABSTRACT This study aims to provide a framework to analyse future flood scenarios considering the effects of three main drivers of flood aggravation: climate change (rainfall intensification and sea level rise); unplanned urbanization; and poor maintenance of urban drainage systems. These stressors were chosen because they represent the aggravation of a natural phenomenon, the urban sprawl effects and the degradation of the drainage system. This analysis intends to make it clear what the main drivers of increasing risks are. Subsequently, a uchronic scenario is developed to analyse how adequate urban planning and infrastructure provision can contribute to a sustainable and resilient city regarding flood alleviation. The method is supported by hydrodynamic simulation. Results demonstrate that precarious urban growth without providing adequate infrastructure coverage can be even more dramatic than climate change. Otherwise, the uchronic scenario demonstrates the benefits of adequately planning cities in a sustainable way, giving lessons to this process.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49349941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-06DOI: 10.1080/23789689.2023.2175165
Wilasinee Darnthamromgkul
ABSTRACT Innovative landscape design of sustainable and resilient infrastructure needs public satisfaction and support. In the 1990s, a new type of urban park, called ecological or sustainable park, emerged to function as green infrastructure. Precedent research reiterated the affection for the picturesque of the Americans, and their opposition to this emerging ecological landscape which tends to look messy. This research investigated if the picturesque and the messiness also matter to Thais. The questionnaire gathered opinions of 315 respondents on the appearance of Chulalongkorn University Centenary Park—a pioneering ecological park in Bangkok. The results revealed respondents’ preference for the picturesque and resistance to the messiness and poor maintenance. The picturesque convention, cues to care tactic and knowledge about nature and ecology appeared to involve in their perception of the beautiful, natural and ecologically sustainable landscapes. The research suggested strategies for designing ecological urban parks in Bangkok, which are also applicable elsewhere.
{"title":"Public response to the appearance of ecological urban park design: the battle between the ‘picturesque’ and the ‘messiness’","authors":"Wilasinee Darnthamromgkul","doi":"10.1080/23789689.2023.2175165","DOIUrl":"https://doi.org/10.1080/23789689.2023.2175165","url":null,"abstract":"ABSTRACT Innovative landscape design of sustainable and resilient infrastructure needs public satisfaction and support. In the 1990s, a new type of urban park, called ecological or sustainable park, emerged to function as green infrastructure. Precedent research reiterated the affection for the picturesque of the Americans, and their opposition to this emerging ecological landscape which tends to look messy. This research investigated if the picturesque and the messiness also matter to Thais. The questionnaire gathered opinions of 315 respondents on the appearance of Chulalongkorn University Centenary Park—a pioneering ecological park in Bangkok. The results revealed respondents’ preference for the picturesque and resistance to the messiness and poor maintenance. The picturesque convention, cues to care tactic and knowledge about nature and ecology appeared to involve in their perception of the beautiful, natural and ecologically sustainable landscapes. The research suggested strategies for designing ecological urban parks in Bangkok, which are also applicable elsewhere.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46100554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-29DOI: 10.1080/23789689.2023.2170090
Saeideh Farahani, A. Shojaeian, B. Behnam, Milad Roohi
ABSTRACT Transportation systems, such as railways, are considered critical infrastructure. It is essential to identify potential hazards that can affect the functionality of these systems and quantify metrics that can be used for resilience-informed decision-making. This paper develops an integrated probabilistic model for seismic multi-hazard risk and restoration assessment of railway systems by accounting for the effects of seismic waves propagation, liquefaction and landslide as main phenomena affecting the integrity of distributed networked infrastructure; this is done via a GIS-based user interface. An illustrative case study is then presented to assess the seismic risk and restoration of the Tehran-Sari railway in Iran. The implementation results demonstrate the capability of the presented methodology to quantify physical metrics (including combined damage state of network components, component- and system-level functionality and restoration) and economic loss. These metrics can assist officials with implementing retrofit plans to reduce loss and improve the resilience of railway system segments.
{"title":"Probabilistic Seismic Multi-hazard Risk and Restoration Modeling for Resilience-informed Decision Making in Railway Networks","authors":"Saeideh Farahani, A. Shojaeian, B. Behnam, Milad Roohi","doi":"10.1080/23789689.2023.2170090","DOIUrl":"https://doi.org/10.1080/23789689.2023.2170090","url":null,"abstract":"ABSTRACT Transportation systems, such as railways, are considered critical infrastructure. It is essential to identify potential hazards that can affect the functionality of these systems and quantify metrics that can be used for resilience-informed decision-making. This paper develops an integrated probabilistic model for seismic multi-hazard risk and restoration assessment of railway systems by accounting for the effects of seismic waves propagation, liquefaction and landslide as main phenomena affecting the integrity of distributed networked infrastructure; this is done via a GIS-based user interface. An illustrative case study is then presented to assess the seismic risk and restoration of the Tehran-Sari railway in Iran. The implementation results demonstrate the capability of the presented methodology to quantify physical metrics (including combined damage state of network components, component- and system-level functionality and restoration) and economic loss. These metrics can assist officials with implementing retrofit plans to reduce loss and improve the resilience of railway system segments.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44172724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-16DOI: 10.1080/23789689.2023.2165779
Jaimie Masterson, Anjali Katare, Jeewasmi Thapa, Matthew Malecha, Siyu Yu, P. Berke
ABSTRACT Hazard vulnerability is a characteristic of disaster risks from natural hazards, worsening climate challenges, complex geopolitical governance dynamics, and local development conditions. Comprehensive planning documents often articulate a community’s infrastructure strategies, policies, and capital improvement investments, and are pivotal for sustainable development of cities. This article introduces a new approach for an evidence-based enhanced preparatory technique for comprehensive plans, called Plan I.Q. The framework brings together two recent planning evaluation tools, which use a combination of qualitative assessment and spatial analysis in GIS to develop high-quality integrated plans. The case study presents results from applying the framework during the development of a new comprehensive plan for the City of Rockport in Texas, which incurred heavy damages from Hurricane Harvey in 2017. Results show improvements to plan quality and plan integration across the community’s network of plans, increasing the quantity and quality of infrastructure policies to reduce hazard vulnerabilities.
{"title":"Plan integration and plan quality: combining assessment tools to align local infrastructure priorities to reduce hazard vulnerability","authors":"Jaimie Masterson, Anjali Katare, Jeewasmi Thapa, Matthew Malecha, Siyu Yu, P. Berke","doi":"10.1080/23789689.2023.2165779","DOIUrl":"https://doi.org/10.1080/23789689.2023.2165779","url":null,"abstract":"ABSTRACT Hazard vulnerability is a characteristic of disaster risks from natural hazards, worsening climate challenges, complex geopolitical governance dynamics, and local development conditions. Comprehensive planning documents often articulate a community’s infrastructure strategies, policies, and capital improvement investments, and are pivotal for sustainable development of cities. This article introduces a new approach for an evidence-based enhanced preparatory technique for comprehensive plans, called Plan I.Q. The framework brings together two recent planning evaluation tools, which use a combination of qualitative assessment and spatial analysis in GIS to develop high-quality integrated plans. The case study presents results from applying the framework during the development of a new comprehensive plan for the City of Rockport in Texas, which incurred heavy damages from Hurricane Harvey in 2017. Results show improvements to plan quality and plan integration across the community’s network of plans, increasing the quantity and quality of infrastructure policies to reduce hazard vulnerabilities.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49427135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-16DOI: 10.1080/23789689.2023.2165782
Md Muzahid Khan, Imranul Bashar, Golam Morshed Minhaj, Absar Ishraq Wasi, N. Hossain
ABSTRACT The purpose of this research paper is to implement a machine learning model with the integration of the supply chain occupational reference (SCOR) model to develop an artificial intelligence-based system for resilient and sustainable supplier selection for a pharmaceutical company. Initially, the SCOR 4.0 model with the integration of Best Worst Method (BWM) has been used to develop the framework of customer satisfaction and to identify the critical elements of the suppliers. Later, the gradient boosting machine learning model has been implemented to classify the supplier as well as rank the suppliers from best to worst based on the acceptability score. The result shows that the gradient boosting algorithm performs well as a classifier, where the supplier with the most acceptability score represents the best supplier and the supplier with the least acceptability score represents the worst supplier. This study contributes to our understanding of how and when integrated SCOR and machine learning models can help improve supplier selection.
{"title":"Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach","authors":"Md Muzahid Khan, Imranul Bashar, Golam Morshed Minhaj, Absar Ishraq Wasi, N. Hossain","doi":"10.1080/23789689.2023.2165782","DOIUrl":"https://doi.org/10.1080/23789689.2023.2165782","url":null,"abstract":"ABSTRACT The purpose of this research paper is to implement a machine learning model with the integration of the supply chain occupational reference (SCOR) model to develop an artificial intelligence-based system for resilient and sustainable supplier selection for a pharmaceutical company. Initially, the SCOR 4.0 model with the integration of Best Worst Method (BWM) has been used to develop the framework of customer satisfaction and to identify the critical elements of the suppliers. Later, the gradient boosting machine learning model has been implemented to classify the supplier as well as rank the suppliers from best to worst based on the acceptability score. The result shows that the gradient boosting algorithm performs well as a classifier, where the supplier with the most acceptability score represents the best supplier and the supplier with the least acceptability score represents the worst supplier. This study contributes to our understanding of how and when integrated SCOR and machine learning models can help improve supplier selection.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43830350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/23789689.2022.2164656
S. Tesfamariam
Health & safety and economic prosperity of citizens are ensured with services provided by core public infrastructure (CPI). The CPI are subject to increased demand for service, deleterious reactions and impact due to climate change that accelerate their aging and deterioration. Canada’s first National Infrastructure Report Card (2012), for example, showed the Water System, Storm Drainage System, and Wastewater System are in ‘fair’ to ‘very poor’ conditions. The replacement costs of these assets, respectively, are $25.9, $15.8, and $39 billion (in 2010 dollars). With increased aging and deterioration, limited resource and customer expectations for minimum acceptable level of service, managing the assets is challenging. To better understand how to deal with these complexities, this Special issue brought invited papers from the experts in the domain. This special collection focused on the buried infrastructure distribution systems (Potable water assets, and Storm water and Wastewater assets). The present special issue is comprised of invited papers from leading researchers in the domain, and are discussed in the following order:
{"title":"Special collection on buried infrastructures","authors":"S. Tesfamariam","doi":"10.1080/23789689.2022.2164656","DOIUrl":"https://doi.org/10.1080/23789689.2022.2164656","url":null,"abstract":"Health & safety and economic prosperity of citizens are ensured with services provided by core public infrastructure (CPI). The CPI are subject to increased demand for service, deleterious reactions and impact due to climate change that accelerate their aging and deterioration. Canada’s first National Infrastructure Report Card (2012), for example, showed the Water System, Storm Drainage System, and Wastewater System are in ‘fair’ to ‘very poor’ conditions. The replacement costs of these assets, respectively, are $25.9, $15.8, and $39 billion (in 2010 dollars). With increased aging and deterioration, limited resource and customer expectations for minimum acceptable level of service, managing the assets is challenging. To better understand how to deal with these complexities, this Special issue brought invited papers from the experts in the domain. This special collection focused on the buried infrastructure distribution systems (Potable water assets, and Storm water and Wastewater assets). The present special issue is comprised of invited papers from leading researchers in the domain, and are discussed in the following order:","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43235280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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