Sustainable and Resilient Infrastructure最新文献_第4页

Adapting wastewater management systems in California for water conservation and climate change 调整加州的废水管理系统以应对水资源保护和气候变化

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-02-27 DOI: 10.1080/23789689.2023.2180251

E. Porse, Caitlyn Leo, Erick Eschker, H. Leverenz, Jonathan Kaplan, J. Johnston, D. Keene, David Babchanik

{"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":"8 1","pages":"437 - 450"},"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}

引用次数: 1

Multi-objective optimization for the sustainability of infrastructure projects under the influence of climate change 气候变化影响下基础设施项目可持续性的多目标优化

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-02-14 DOI: 10.1080/23789689.2023.2171197

Yan Zhang, L. Chouinard, G. Power, D. Conciatori, K. Sasai, Abdoul S. Bah

{"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":"8 1","pages":"492 - 513"},"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}

引用次数: 0

A model for energy master planning and resilience assessment of net-zero emissions community 净零排放社区能源总体规划和恢复力评估模型

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-02-12 DOI: 10.1080/23789689.2023.2175133

Saeid Charani Shandiz, B. Rismanchi, G. Foliente, L. Aye

引用次数: 1

A framework for assessing flood risk responses of a densely urbanized watershed, to support urban planning decisions 评估密集城市化流域洪水风险响应的框架，以支持城市规划决策

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-02-08 DOI: 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

{"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":"8 1","pages":"400 - 418"},"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}

引用次数: 0

Public response to the appearance of ecological urban park design: the battle between the ‘picturesque’ and the ‘messiness’ 公众对生态城市公园外观设计的反应:“优美”与“凌乱”之争

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-02-06 DOI: 10.1080/23789689.2023.2175165

Wilasinee Darnthamromgkul

引用次数: 0

Probabilistic Seismic Multi-hazard Risk and Restoration Modeling for Resilience-informed Decision Making in Railway Networks 铁路网弹性决策的概率地震多灾害风险与恢复模型

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-01-29 DOI: 10.1080/23789689.2023.2170090

Saeideh Farahani, A. Shojaeian, B. Behnam, Milad Roohi

{"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":"8 1","pages":"470 - 491"},"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}

引用次数: 0

Coalition for Disaster Resilient Infrastructure (CDRI) 2022 Conference Proceedings 抗灾基础设施联盟(CDRI) 2022年会议论文集

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-01-27 DOI: 10.1080/23789689.2023.2181552

引用次数: 1

Plan integration and plan quality: combining assessment tools to align local infrastructure priorities to reduce hazard vulnerability 计划整合和计划质量：结合评估工具，调整当地基础设施的优先事项，以减少灾害脆弱性

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-01-16 DOI: 10.1080/23789689.2023.2165779

Jaimie Masterson, Anjali Katare, Jeewasmi Thapa, Matthew Malecha, Siyu Yu, P. Berke

{"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":"8 1","pages":"359 - 374"},"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}

引用次数: 1

Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach 弹性和可持续的供应商选择:SCOR 4.0和机器学习方法的集成

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-01-16 DOI: 10.1080/23789689.2023.2165782

Md Muzahid Khan, Imranul Bashar, Golam Morshed Minhaj, Absar Ishraq Wasi, N. Hossain

引用次数: 14

Special collection on buried infrastructures 埋藏基础设施的特别收藏

IF 5.9

Sustainable and Resilient Infrastructure Pub Date : 2023-01-02 DOI: 10.1080/23789689.2022.2164656

S. Tesfamariam

引用次数: 0