城市抗洪能力:灾害管理评估方法、工具和技术的综合综述

IF 2.6 Q3 ENVIRONMENTAL SCIENCES Progress in Disaster Science Pub Date : 2023-10-27 DOI:10.1016/j.pdisas.2023.100299
Naveen Prashar , Harshit Sosan Lakra , Rajib Shaw , Harsimran Kaur
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引用次数: 0

摘要

随着气候变化导致的灾害频率和严重程度的增加,学术界对洪水恢复力概念的理解及其评估的兴趣日益浓厚。本文对城市洪水恢复力评估(UFRA)进行了全面系统的文献综述,以解决城市准备、响应不足和恢复过程漫长的问题。该综述涵盖了UFRA进程,考虑了城市要素、方法、工具和技术以及实现韧性的挑战,并为构建先进的韧性评估框架提供了指导。使用相关关键词访问Scopus和Web of Science数据库。对UFRA文献的回顾表明,普遍存在分析孤立或集群城市要素的框架,而不是评估洪水恢复力的综合框架。各种方法、工具和技术,如多准则决策方法(MCDM)、水文模型、住户调查和地理信息系统(GIS)技术,通常用于单个或集群要素的洪水恢复力评估。然而,为了实现城市地区的整体复原力,需要采取综合和全面的方法,考虑到不断变化的风险格局。由于城市系统的复杂性,创建一个全面的框架带来了挑战,这需要跨多个学科的协作和现代工具和技术的集成,包括计算建模,如基于主体的建模(ABM)和系统动力学方法,人工智能技术和认知模糊建模。这项研究的结果为研究人员、学者和政策制定者提供了宝贵的资源。它有助于理解城市洪水恢复力过程,重点关注城市要素及其相互关系、评估方法和途径、全面实现洪水恢复力情景所需的维度和指标。
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Urban Flood Resilience: A comprehensive review of assessment methods, tools, and techniques to manage disaster

Academic interest in comprehending flood resilience concepts and their evaluation is growing with the increasing frequency and severity of disasters due to climate change (CC). This paper conducts a comprehensive and systematic literature review on urban flood resilience assessment (UFRA) to address the inadequacy of urban preparedness, response and lengthy recovery process. The review covers the UFRA process considering urban elements, methods, tools and techniques, and challenges in achieving resilience and provides guidance for constructing advance resilience assessment frameworks. Scopus and Web of Science databases were accessed by employing pertinent keywords. The review of UFRA literature reveals a prevalence of frameworks analysing isolated or clustered urban elements rather than a comprehensive framework for assessing flood resilience. Various methods, tools and techniques, such as multi-criteria decision-making methods (MCDM), hydrological modelling, household surveys, and geographic information system (GIS) techniques, are commonly employed in the flood resilience assessment of single or clustered elements. However, to achieve overall resilience in an urban area, there is a need for an integrated and comprehensive approach that accounts for the evolving risk landscape. Creating a comprehensive framework poses challenges due to the intricate nature of the urban system, which requires collaboration across multiple disciplines and integration of modern tools and techniques, including computational modelling such as agent-based modelling (ABM) and system dynamics approaches, artificial intelligence techniques, and cognitive fuzzy modelling. The outcome of this research serves as a valuable resource for researchers, academicians, and policymakers. It aids in understanding the urban flood resilience process, focusing on urban elements and their inter-relationships, assessment methods and approaches, dimensions and indicators necessary for achieving flood resilience scenarios comprehensively.

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来源期刊
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
期刊最新文献
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