Review on Urban Flood Risk Assessment

Li, Cailin; Sun, Ning; Lu, Yue; Guo, Baoyun; Wang, Yue; X, Sun; Yao, Yukai

doi:10.3390/su15010765

Cited by 28 publications

(12 citation statements)

References 72 publications

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“…Geographically, SMRB belongs to a subtropical monsoon climate, and the rainfall has the characteristics of large quantity and high intensity, in which the annual average rainfall is 1300 to 2500 mm, and the rainfall seasons mainly concentrated on the period from April to September. Climate change and accelerating urbanization have great impact on regional hydrological cycle, which increase the flooding problems and also caused serious economic losses (Li et al, 2022). On May 11, 2014, the short duration of heavy rainfall in the Shima River basin, which had recorded 330 mm rainfall, caused the river and unicipal drainage to be poured back, resulting in direct economic losses of more than 56 million Yuan.…”

Section: Overview Of the Studymentioning

confidence: 99%

Impacts of temporal/spatial rainfall heterogeneities on peak runoff distribution and intensities for an urban river basin of south China

Cai,

Yang,

Tan

et al. 2024

River

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In this research, a modeling approach of rainfall generator coupled with high resolution rainfall products were proposed to generate designed rainfall events under multiple spatial and temporal distributions, which was then employed to analyze the impacts of spatial and temporal rainfall heterogeneities on peak runoff for watersheds. Three scenarios were developed under multiple degrees of impermeable underlying surface areas within an urban watershed in south China. Detailed runoff processes were analyzed through the adoption of a distributed hydrological model (GSSHA). A covariance analysis method combined with rainfall spatio‐temporal heterogeneity characteristic were used to quantify heterogeneity effects on peak runoff. Results indicated that coupling short period (2008–2016) remotely rainfall data and RainyDay results could successfully reproduce designed rainfall events, spatio‐temporal heterogeneity of rainfall contributed significantly to the peak runoff, which was greater than those by rainfall duration and capacity, and the increase in impermeable underlying surface enhanced the complexities of the effects. Over each rainfall duration with increasing rainfall return period, the indicator of rainfall peak coefficient (RWD) would decrease and then increase. Regarding the total rainfall center (tg), 25 mm/h threshold rainfall spatial coverage (A25) decreased with increasing imperviousness, 1‐h maximum rainfall (Rmax) surged with increasing imperviousness at rainfall duration of 2 and 24 h. Innovations of this research lied in: combination of a rainfall generator model based on a stochastic storm transposition technique and remote‐sensing rainfall data to generate designed rainfall events, a rainfall spatial and temporal heterogeneities index system was developed to reveal how the changing characteristics of rainfall distribution and the impacts on peak runoff, and in‐depth analysis of the impacts on runoff peak under multiple urban development scenarios for increasing capability in flood control/prevention.

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Section: Overview Of the Studymentioning

confidence: 99%

Impacts of temporal/spatial rainfall heterogeneities on peak runoff distribution and intensities for an urban river basin of south China

Cai,

Yang,

Tan

et al. 2024

River

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“…Flood disaster risk assessment is one of the fundamental bases for developing disaster prevention plans and has been extensively studied in recent years. The main research methods are divided into the multi-criteria index system method, the coupling of remote sensing and GIS, and scenario simulation assessment [7]. The multi-criteria index system is the most widely used method for flood risk assessment [8].…”

Section: Introductionmentioning

confidence: 99%

A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems

Ding,

Wang,

2024

Land

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Evaluating the vulnerability of urban transportation systems to flood disasters can provide scientific support for urban disaster prevention and mitigation. Current methods for assessing the flood vulnerability of urban roads often overlook the internal relationships within the complex spatial composition of road networks and surface structures. In this study, based on the theory of complex networks, a dual-layer network assessment model is established for evaluating the flood vulnerability of urban transportation systems by coupling basic geographic data with road network vector data. Unlike traditional methods, this model considers the complex relationship between road network structures and ground surfaces, uncovering a correlation between road network structure and road flood vulnerability. By utilizing this model, the flood vulnerability of road networks in Shenzhen, as well as the city’s spatial flood vulnerability, are quantitatively assessed. Based on the quantitative results, we create maps illustrating the distribution of road and spatial flood vulnerability in Shenzhen. The study results reflect that roads highly vulnerable to flooding are mainly located in the central urban area of the southwest, with the flood vulnerability spatially concentrated primarily in the northern and western regions. Using data from government reports, news stories, and other sources over the past five years, we compile recorded instances of urban waterlogging. The quantitative results of the model are consistent with the distribution trend in recorded waterlogging points, indicating that the model’s outcomes are authentic and reliable.

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“…Population growth in urban areas has led to an increase in natural disasters, with floods being the most frequent occurrence (Li et al, 2022). The primary cause of flood is a significant change in the water cycle within cities, which has been exacerbated by urban expansion, a rise in population density and the prevalence of artificial surfaces.…”

Section: Introductionmentioning

confidence: 99%

Integration of RS and GIS in assessing flood risk: A Case Study on Istanbul - Esenyurt

ÖZER,

YALÇINER ERCOŞKUN

2024

JCUA

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Floods, exacerbated by escalating urbanization, pose significant threats to life and property globally. Over the past decade, the Esenyurt district in Istanbul has witnessed a series of floods, highlighting existing flood risks. Rapid population growth in this area and dense urbanization caused by intensive construction increase flood risks. Given these factors, the study focuses on examining the historical impact of urbanization on flood risks, considering spatial and temporal changes. Landsat-8 satellite data, specifically examining NDVI, NDBI, and BU, was employed to detect building imprints and reveal their historical backgrounds for temporal risk calculations. The analysis showed a sudden increase in urbanization rates in 2016, 2017, and 2021. In the flood risk calculations, 2014 data for a return period of 100 years were used and flood inundation depth, economic damages, affected population and depth-damage function were taken into consideration. The results indicate that from 2014 to 2022, increasing urbanization led to a 32.9% increase in the population affected by floods, a 22.3% rise in potential economic damage, and a 13.6% increase in total flood risk. The relationship between flood risks, contemporary urbanization, and its economic dimensions has been evaluated to reduce risks and achieve sustainable cities.

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Review on Urban Flood Risk Assessment

Cited by 28 publications

References 72 publications

Impacts of temporal/spatial rainfall heterogeneities on peak runoff distribution and intensities for an urban river basin of south China

Impacts of temporal/spatial rainfall heterogeneities on peak runoff distribution and intensities for an urban river basin of south China

A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems

Integration of RS and GIS in assessing flood risk: A Case Study on Istanbul - Esenyurt

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