Levee Breaching: A New Extension to the LISFLOOD-FP Model

Shustikova, Iuliia; Neal, Jeffrey; Domeneghetti, Alessio; Bates, Paul; Vorogushyn, Sergiy; Castellarin, Attilio

doi:10.3390/w12040942

Cited by 23 publications

(11 citation statements)

References 37 publications

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“…All defence types are routinely represented in hydraulic models, often within linked 1D–2D models (Ferrari et al, 2020; Wing et al, 2019). Work is underway to be able to dynamically model defence systems in a 2D hydraulic model (Shustikova et al, 2020), however so far there is no single approach that can incorporate all defence types into a model. Defence datasets consist of an assortment of defence‐type structures, such as levees, fixed and demountable defences, culverts and diversion canals and larger stormwater tunnels.…”

Section: Introductionmentioning

confidence: 99%

Flood risk in Kuala Lumpur, Malaysia: A consideration of flood defences in a broadscale hydraulic model

Massam¹,

Smith²,

Filipova³

et al. 2023

J Flood Risk Management

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A novel approach to consider local‐scale defence infrastructure in an urban environment, coupled with a broadscale hydraulic model framework, is applied to the capital city of Kuala Lumpur, Malaysia. Broadscale hydraulic modelling frameworks are often able to employ more complex models, but are typically limited to homogenous decision‐making to ensure standardised outputs across large regions. Conversely, small‐scale hydraulic modelling frameworks tend to better integrate local‐scale features but can be computationally expensive to scale up beyond a regional view. Improvements to the broadscale hydraulic model framework through the incorporation of defence systems yield a more accurate representation of fluvial flood risk. This study incorporates defences in Kuala Lumpur, yielding a reduction in our estimates of fluvial flood extent by around 40%. The results of this study are validated against a set of high‐quality observations, demonstrating the capability of the model framework in capturing flood risk in more than 95% of known flood risk zones in the city. Incorporating defence infrastructure using data‐driven decision making and existing functionality in the hydraulic model could be automated in future model builds. This new approach bridges the gap between local‐scale model frameworks and the broadscale, homogenous 2D hydraulic modelling studies.

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Section: Introductionmentioning

confidence: 99%

Flood risk in Kuala Lumpur, Malaysia: A consideration of flood defences in a broadscale hydraulic model

Massam¹,

Smith²,

Filipova³

et al. 2023

J Flood Risk Management

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“…LISFLOOD-FP is a raster-based open-source hydrodynamic modelling framework that has been applied in many fields of 25 earth sciences, including morphodynamic modelling (Coulthard et al, 2013;Ziliani et al, 2020), urban drainage modelling (Wu et al, 2018;Yang et al, 2022), population mapping (Zhu et al, 2020), coastal flooding (Hirai and Yasuda, 2018;Seenath, 2018;Irwan et al, 2021), uncertainty quantification (Liu and Merwade, 2018;Beevers et al, 2020;Jafarzadegan et al, 2021;Karamouz and Mahani, 2021;Yin et al, 2022;Zeng et al, 2022) and coupled hydrological-hydraulic modelling (Siqueira et al, 2018;Towner et al, 2019;Hoch et al, 2019;Rajib et al, 2020;Makungu and Hughes, 2021;Nandi et al, 30 2022). It has undergone extensive developments and testing since its conception (e.g., Bates and De Roo, 2000;Hunter et al, 2005;Bates et al, 2010;Sosa et al, 2020;Shustikova et al, 2020;Zhao et al, 2020), becoming a state-of-the-art tool for flood modelling applications at urban, catchment, regional and continental scales (e.g., Amarnath et al, 2015;Chaabani et al, 2018;O'Loughlin et al, 2020;Zare et al, 2021;Bessar et al, 2021;Chone et al, 2021;Asinya et al, 2021;Zhao et al, 2021). 35 LISFLOOD-FP includes a variety of numerical schemes to solve the two-dimensional (2D) shallow water equations with different levels of sophistication, ranging from the simplistic diffusive wave scheme to more complex finite volume and Galerkin schemes solving the full shallow water equations…”

Section: Introductionmentioning

confidence: 99%

LISFLOOD-FP 8.1: New GPU accelerated solvers for faster fluvial/pluvial flood simulations

Sharifian

Kesserwani²,

Chowdhury³

et al. 2022

Preprint

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Abstract. The local inertial two-dimensional (2D) flow model on LISFLOOD-FP, so-called ACC uniform grid solver, has been widely used to support fast, computationally efficient fluvial/pluvial flood simulations. This paper describes new releases, on LISFLOOD-FP 8.1, for parallelised flood simulations on the graphical processing units (GPU) to boost efficiency of the existing parallelised ACC solver on the central processing units (CPU) and enhance it further by enabling a new non-uniform grid version. The non-uniform solver generates its grid using the multiresolution analysis (MRA) of the multiwavelets (MWs) to a Galerkin projection of the digital elevation model (DEM). This sensibly coarsens the resolutions where the local topographic details are below an error threshold ε and allows to properly adapt classes of land use. Both the grid generator and the adapted ACC solver on the non-uniform grid are implemented in a GPU new codebase, using the indexing of Z-order curves alongside a parallel tree traversal approach. The efficiency performance of the GPU parallelised uniform and non-uniform grid solvers are assessed for five case studies, where the accuracy of the latter is explored for ε = 10-4 and 10-3 in terms of how close it can reproduce the prediction of the former.

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“…The deterministic approach combines design hydrologic conditions with historical observations of breach characteristics, locations, and timing to empirically define a set of hypothetical scenarios based on selected inputs and parameter values (Aureli & Mignosa, 2004; Aureli et al., 2006; Ferrari et al., 2020; Kvočka et al., 2016; Shustikova et al., 2020; Urzică et al., 2021). In this deterministic context, the uncertainty in flood inundation predictions due to model inputs and parameters can be assessed by sensitivity analysis (Hall et al., 2005; Hesselink et al., 2003).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Flood Hazard Mapping Considering Multiple Levee Breaches

Maranzoni

D’Oria

Mazzoleni

2022

Water Resources Research

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Probabilistic methods are widely adopted for residual flood hazard assessment in flood‐prone areas protected by levees. Such methods can consider various sources of uncertainty, including breach location and flood event characteristics, and allow for the quantification of the result confidence. However, the possible occurrence of multiple levee breaches during the same flood event is usually disregarded. This paper presents a probabilistic method based on levee fragility functions and basic probability rules to estimate the probability of selected breach scenarios, including multiple breaching events. The flood hazard classification is based on inundation variables calculated for flood events of different return periods. A combined 1D‐2D hydrodynamic model is used for flood simulations. Probabilistic inundation extent maps and probabilistic flood hazard level maps are then created. Finally, probabilistic flood hazard estimates are summarized in a map of a suitable central tendency of the hazard level, coupled with a map of the Shannon entropy as an uncertainty indicator. This pair of statistical maps provides concise and effective information on a reference flood hazard along with the associated uncertainty. The method was applied to a region located along the middle reach of the Po River (northern Italy). Comparable central flood hazard estimates are obtained for the two sets of breaching events including or not including multiple breaches, with higher uncertainty if multiple breaches are considered. This result highlights the importance of considering multiple breaching events in flood risk management.

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Levee Breaching: A New Extension to the LISFLOOD-FP Model

Cited by 23 publications

References 37 publications

Flood risk in Kuala Lumpur, Malaysia: A consideration of flood defences in a broadscale hydraulic model

Flood risk in Kuala Lumpur, Malaysia: A consideration of flood defences in a broadscale hydraulic model

LISFLOOD-FP 8.1: New GPU accelerated solvers for faster fluvial/pluvial flood simulations

Probabilistic Flood Hazard Mapping Considering Multiple Levee Breaches

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