Impact assessment of climate change on compound flooding in a coastal city

Xu, Kui; Zhuang, Yunchao; Bin, Lingling; Wang, Chenyue; Tian, Fuchang

doi:10.1016/j.jhydrol.2023.129166

Cited by 19 publications

(2 citation statements)

References 58 publications

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“…However, in the fullprocess simulation of urban floods, the 2D model does not account for the influence of underground drainage pipes, which is a limitation. Therefore, to enhance the accuracy of coastal city flood simulations, many researchers have focused on the coupling of 1D drainage network models with 2D surface flow models [96][97][98][99]. By establishing a fluid exchange between the 2D and 1D models, a more comprehensive urban flood model can be constructed.…”

Section: Isolated Scenario Analysis (Isa)mentioning

confidence: 99%

Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

Sun,

Zhang,

Ruan

et al. 2024

Remote Sensing

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Coastal regions, increasingly threatened by floods due to climate-change-driven extreme weather, lack a comprehensive study that integrates coastal and riverine flood dynamics. In response to this research gap, we conducted a comprehensive bibliometric analysis and thorough visualization and mapping of studies of compound flooding risk in coastal cities over the period 2014–2022, using VOSviewer and CiteSpace to analyze 407 publications in the Web of Science Core Collection database. The analytical results reveal two persistent research topics: the way to explore the return periods or joint probabilities of flood drivers using statistical modeling, and the quantification of flood risk with different return periods through numerical simulation. This article examines critical causes of compound coastal flooding, outlines the principal methodologies, details each method’s features, and compares their strengths, limitations, and uncertainties. This paper advocates for an integrated approach encompassing climate change, ocean–land systems, topography, human activity, land use, and hazard chains to enhance our understanding of flood risk mechanisms. This includes adopting an Earth system modeling framework with holistic coupling of Earth system components, merging process-based and data-driven models, enhancing model grid resolution, refining dynamical frameworks, comparing complex physical models with more straightforward methods, and exploring advanced data assimilation, machine learning, and quasi-real-time forecasting for researchers and emergency responders.

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Section: Isolated Scenario Analysis (Isa)mentioning

confidence: 99%

Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

Sun,

Zhang,

Ruan

et al. 2024

Remote Sensing

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“…Global climate models (GCMs) data are widely used to assess changes in future hydrological and runoff characteristics due to climate change, and related research has been actively conducted (Bevacqua et al, 2017;Ghanbari et al, 2021;Hendry et al, 2019). Xu et al (2023) analyzed the impact of climate change and sea level rise (SLR) on compound flooding in a coastal city, while Kay et al (2006) used precipitation simulated by the HadRM3H model in the UK to analyze runoff and flood frequency in 15 watersheds. They estimated a 50% increase in the 50-year frequency peak flood volume of major rivers in the future.…”

Section: Introductionmentioning

confidence: 99%

Assessing future urban flood hazard: A comprehensive approach to estimating the implications of future rainfall scenarios

Moon,

Yoon,

Kim

et al. 2024

J Flood Risk Management

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Estimating potential changes in future flood patterns based on anticipated changes in hydrological characteristics within the basin is crucial for mitigating flood damage and managing flood risk. In this study, nonparametric probability models are used to estimate future rainfall patterns in Seoul under the GCM‐based climate change scenarios (CCS), and the estimated future daily rainfall data was temporally downscaled to hourly units using the KNNR‐GA technique. Changes in flood hazard and runoff characteristics of the target area based on the estimated future rainfall data are quantitatively assessed. The results highlight that under CCS, flood runoff may increase further into the future, resulting in more significant changes in flood patterns and accelerating the increase in flood hazard. The delta change factor of flood risk indicators increased relatively significantly in more severe CCS. This study also proposed a process to estimate future flood runoff and mitigation effects according to CCS by reflecting various flood mitigation measures in the urban drainage system model. These findings can offer valuable insights for setting the direction of current and future mitigation measures.

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Formulating a warning threshold for coastal compound flooding: A copula-based approach

Lin,

Sun,

Sun

et al. 2024

Ecological Indicators

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Impact assessment of climate change on compound flooding in a coastal city

Cited by 19 publications

References 58 publications

Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

Assessing future urban flood hazard: A comprehensive approach to estimating the implications of future rainfall scenarios

Formulating a warning threshold for coastal compound flooding: A copula-based approach

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