Urban Flood Resilience: A comprehensive review of assessment methods, tools, and techniques to manage disaster

Prashar, Naveen; Lakra, Harshit Sosan; Shaw, Rajib; Kaur, Harsimran

doi:10.1016/j.pdisas.2023.100299

Cited by 11 publications

(5 citation statements)

References 82 publications

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“…FR is a shift from traditional flood management practices to a more holistic, integrated approach that leverages natural processes and green infrastructure [76,93,138]. FR refers to the capacity of urban areas to anticipate, withstand, recover from, and adapt to flood events while maintaining the functionality, integrity, and sustainability of the built environment, infrastructure, and communities, enhancing preparedness, and promoting long-term resilience in urban settings [66,138,148]. Keating et al describe FR as the ability of a community to pursue its development and growth objectives while managing its flood risk over time in a mutually reinforcing way [149].…”

Section: Urban Flood Resilience (Fr)mentioning

confidence: 99%

“…These processes are interconnected and essential for minimizing flooding damage, ensuring less risk to people and infrastructure, and facilitating quicker and more efficient recovery [166,167]. Recovery efforts entail reconstructing infrastructure and communities using lessons from previous flooding events [148]. After a flood event, the focus shifts to restoring the community to its pre-flood state as quickly and efficiently as possible.…”

Section: Urban Flood Resilience (Fr)mentioning

confidence: 99%

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Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

Mabrouk,

Han,

Mahran

et al. 2024

Sustainability

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Despite the increasing number of flood studies, the interrelationships between urban form indices (UFIs) and flood resilience (FR) have received little attention and hold miscellaneous perspectives. Consequentially, this study identifies how UFIs at various spatial scales affect FR by synthesizing article findings and proposing insights for future research. Scientometric analysis has been used to analyze the gathered peer-reviewed articles from nine research engines without time restrictions. One hundred and eighteen relevant articles were included and thoroughly investigated using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Our findings indicate that divergent and dialectical perspectives about the efficacy of UFIs are due to multiple disciplines, methodologies, and different case study contexts. The included studies were classified according to urban scale as macro (citywide), meso (districts), micro (block), and multi-scalar analysis by 80.5%, 6.8%, 10.2%, and 2.4%, respectively. Furthermore, the included studies were categorized based on analysis type into realistic case studies, literature reviews, modeling, and hybrid analysis, with 74.6%, 7.6%, 14.4%, and 3.4%, respectively. At the macroscale, city density and spatial distribution degree have the most significant effect on FR. At the same time, mixed uses, connectivity, coverage ratio, block arrangements, and street characteristics are on the meso and micro scales. Further studies on the trade-offs and commonality between UFIs, FR, and overall urban resilience are required to shape climate-adaptive, sustainable communities.

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Section: Urban Flood Resilience (Fr)mentioning

confidence: 99%

Section: Urban Flood Resilience (Fr)mentioning

confidence: 99%

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

Mabrouk,

Han,

Mahran

et al. 2024

Sustainability

View full text Add to dashboard Cite

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“…Tayyab et al developed the Urban Flood Resilience Model (UFResi-M) [21] to compare the urban resilience of two regions through data processing and analysis. Naveen conducted a comprehensive and systematic literature review on Urban Flood Resilience Assessment (UFRA) [22] to address the problems of inadequate urban preparedness, poor response, and lengthy recovery process, which covers the process of urban flood resilience assessment, and provides guidance for constructing a state-of-the-art framework for urban resilience assessment provided guidance.…”

Section: Introductionmentioning

confidence: 99%

A Novel Modeling Approach to Quantify the Flood Resilience of Cities

Xu,

Du,

Proverbs

et al. 2024

Water

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In recent years, large-scale flood events have occurred more frequently, and the concept of resilience has become a prevalent approach to managing flood risk in many regions. This has led to an increased interest in how to effectively measure a city’s flood resilience levels. This study proposes a novel modeling approach to quantify urban flood resilience by developing D-number theory and analytical hierarchy process (AHP) models, which are applied to three cities in China using the VIse Kriterijumski Optimizacioni Racun (VIKOR) method. The findings reveal that Hefei City has the most effective level of flood resilience, Hangzhou City was ranked second, while Zhengzhou City has the least effective level of flood resilience. This study provides a new scientific basis on how to quantify flood resilience at the city scale and provides a useful reference for these three specific cities. The methods and approaches developed in this study have the potential to be applied to other cities and in the related aspects of disaster prevention, recovery, and reconstruction.

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“…In the realm of urban flood management, the incorporation of levee systems into these networks is paramount for safeguarding urban regions, particularly in the case of sophisticated delta city clusters [1][2][3]. These levee systems act as the primary bulwark against surging water levels, offering indispensable protection in the event of floods [4,5].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Levee Deformation for Urban Flood Risk Management Using Airborne 3D Point Clouds

Wang,

Liao

et al. 2024

Water

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In the low-lying, river-rich Pearl River Delta in South China, an extensive network of flood defense levees, spanning over 4400 km, plays a crucial role in urban flood management. These levees are designed to withstand floods and storm surges, yet their failure can lead to significant human and economic losses, highlighting the need for robust urban flood defense strategies. This necessitates the development of a sophisticated geographic information system for the levee network and rapid, accurate assessment methods for levee conditions to support water management and flood mitigation efforts. This study focuses on the levees along the Hengmen waterway in the Pearl River Delta, utilizing airborne Light Detection and Ranging (LiDAR) technology to gather 3D spatial data of the levees. Employing the Cloth Simulation Filter (CSF) algorithm, non-ground point cloud data were extracted. The study improved upon the region-growing algorithm, using a seed point set approach for the automatic extraction of levee point cloud data. The accuracy and completeness of levee extraction were evaluated using the quality index. This method achieved effective extraction of four levee types, showing significant improvements over traditional algorithms, with extraction quality ranging from 72% to 83%. Key research outcomes include the development of a novel method for detecting localized levee depressions based on the computation of the variance of angles between normal vectors in single-phase levee point cloud data. An adaptive optimal neighborhood approach was utilized to accurately determine the normal vectors, effectively representing the local morphology of the levee point clouds. Applied in three levee depression detection experiments, this method proved effective, demonstrating the capability of single-phase data in identifying regions of levee depression deformation. This advancement in levee monitoring technology marks a significant step forward in enhancing urban flood defense capabilities in regions such as the cities of the Pearl River Delta in China.

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Urban Flood Resilience: A comprehensive review of assessment methods, tools, and techniques to manage disaster

Cited by 11 publications

References 82 publications

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

A Novel Modeling Approach to Quantify the Flood Resilience of Cities

Monitoring of Levee Deformation for Urban Flood Risk Management Using Airborne 3D Point Clouds

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