Compound flood hazard assessment and analysis due to tropical cyclone-induced storm surges, waves and precipitation: a case study for coastal lowlands of Kelani river basin in Sri Lanka

Wijetunge, Janaka J.; Neluwala, N. G. P. B.

doi:10.1007/s11069-023-05846-w

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…These floods typically result from the interplay and combination of multiple disaster-inducing elements [32][33][34][35][36]. Large coastal cities are prone to suffering from multiple disasters in the course of a storm cyclone, leading to tremendous disaster losses and social impacts [37,38]. Overall, there are three main sources of composite flooding in coastal areas [39][40][41]: (1) the ocean, extraordinary weather events leading to dramatic seawater uplift in the form of superimposed astronomical tidal surges, tsunamis, catastrophic ocean waves, and slow-onset sea-level rise, i.e., so-called coastal flooding; (2) river-type flooding due to runoff from rivers generated by upstream precipitation; (3) localized precipitation, which provokes regional surface waterlogging, called precipitation-type flooding.…”

Section: Mechanisms Of Compound Coastal Floodingmentioning

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: Mechanisms Of Compound Coastal Floodingmentioning

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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“…22 . In regional assessments, more computationally expensive dynamic flood models 23 beyond the static approaches were used: CaMa-Flood 24 , LISFLOOD-FP 25 , HEC-RAS 26 , or SFINCS 27 . However, the computational cost for the computation of inundated areas in these frameworks is still so high that they have so far only been used for regional assessments.…”

Section: Introductionmentioning

confidence: 99%

Accounting for surge dynamics is key to modeling tropical cyclone-induced coastal flooding

Vogt,

Treu,

Mengel

et al. 2024

Preprint

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Tropical cyclone-induced storm surge is a major coastal risk which will be further amplified by rising sea levels under global warming. The surge-induced floodplains are commonly modeled using a two-step approach by first producing coastal water levels which are, secondly, translated into inundated areas. Here, we evaluate an alternative approach where ocean dynamics and coastal inundation are modeled in a single step using the open-source solver GeoClaw that accounts for the event-specific variation over time of flood drivers. We compute the surge-induced flood extents for a global set of 71 storms from 2000-2019. We show that GeoClaw better reproduces satellite observations and high water marks than two different common modeling approaches that lack a process-based representation of inundation dynamics: a state-of-the-art two-step approach combining a full-scale ocean dynamics with a static (bathtub-type) inundation model and a lightweight approach that directly translates parametric tropical cyclone wind fields into inundation maps using statistical relationships. GeoClaw does not reach the performance of the ocean dynamics model in reproducing coastal water levels, but this deficiency is overcompensated by the dynamic modeling of inundated areas. The computational efficiency of the one-step approach opens up new perspectives for global assessments of coastal risks from tropical cyclones.

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“…The transition zone is particularly vulnerable and can be significantly affected by the interaction between flooding from both sources. Compound flooding has the potential to be more widespread and dangerous than single‐factor flooding (Sangsefidi et al., 2023) and has received increased attention during the past decade (Wijetunge & Neluwala, 2023). Under climate change, there is a predicted exacerbation of rainfall–surge joint hazard and consequential compound flooding (Gori & Lin, 2022; Gori et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Quantifying Compound and Nonlinear Effects of Hurricane‐Induced Flooding Using a Dynamically Coupled Hydrological‐Ocean Model

Bao,

Xue,

Warner

2024

Water Resources Research

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We recently developed a dynamically coupled hydrological‐ocean modeling system that provides seamless coverage across the land‐ocean continuum during hurricane‐induced compound flooding. This study introduced a local inertial equation and a diagonal flow algorithm to the overland routing of the coupled system’s hydrology model (WRF‐Hydro). Using Hurricane Florence (2018) as a test case, the performance of the coupled model was significantly improved, evidenced by its enhanced capability of capturing backwater and increased water level simulation accuracy and stability. With four model experiments, we present a framework to detangle, define, and quantify compound and nonlinear effects. The results revealed that the flood peaks in the lower Cape Fear River Basin and the coastal waters were contributed by inland flooding and storm surge, respectively. These two processes had comparable contributions to the flooding in the Cape Fear River Estuary. The compound effect was identified when the flood levels resulting from the combination of land and ocean processes surpassed those caused by an individual process alone. The compound effect during Hurricane Florence exhibited limited impact on flood peaks, primarily due to the time lag between the peaks of the storm surge and the inland flooding. In the period between the two peaks, the compound effect was salient and significantly impacted the magnitude and variation of the flood level. The nonlinear effect, defined as the difference between the compound flood level and the superposition of storm surge and inland flooding water levels, reduced flood levels in the river channels while increasing flood levels on the floodplain.

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Compound flood hazard assessment and analysis due to tropical cyclone-induced storm surges, waves and precipitation: a case study for coastal lowlands of Kelani river basin in Sri Lanka

Cited by 5 publications

References 28 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

Accounting for surge dynamics is key to modeling tropical cyclone-induced coastal flooding

Quantifying Compound and Nonlinear Effects of Hurricane‐Induced Flooding Using a Dynamically Coupled Hydrological‐Ocean Model

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