Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances

Hydrology, Год журнала: 2023, Номер 10(7), С. 141 - 141

Опубликована: Июнь 30, 2023

As one of nature’s most destructive calamities, floods cause fatalities, property destruction, and infrastructure damage, affecting millions people worldwide. Due to its ability accurately anticipate successfully mitigate the effects floods, flood modeling is an important approach in control. This study provides a thorough summary modeling’s current condition, problems, probable future directions. The includes models based on hydrologic, hydraulic, numerical, rainfall–runoff, remote sensing GIS, artificial intelligence machine learning, multiple-criteria decision analysis. Additionally, it covers heuristic metaheuristic techniques employed evaluation examines advantages disadvantages various models, evaluates how well they are able predict course impacts floods. constraints data, unpredictable nature model, complexity model some difficulties that must overcome. In study’s conclusion, prospects for development advancement field discussed, including use advanced technologies integrated models. To improve risk management lessen society, report emphasizes necessity ongoing research modeling.

Язык: Английский

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Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data

Water Resources Research, Год журнала: 2023, Номер 59(10)

Опубликована: Окт. 1, 2023

Abstract In our era, the rapid increase of parallel programming coupled with high‐performance computing (HPC) facilities allows for use two‐dimensional shallow water equation (2D‐SWE) algorithms simulating floods at “hydrological” catchment scale, rather than just “hydraulic” fluvial scale. This approach paves way development new operational systems focused on impact‐based flash‐floods nowcasting, wherein hydrodynamic simulations directly model spatial and temporal variability measured or predicted rainfall impacts even a street Specifically, main goal this research is to make step move toward implementation an effective flash flood nowcasting system in which timely accurate impact warnings are provided by including weather radar products HPC 2D‐SWEs modelling framework able integrate watershed hydrology, flow hydrodynamics, river urban flooding one model. The timing, location, intensity street‐level evolution some key elements risk (people, vehicles, infrastructures) also discussed considering both calibration issues role played resolution. All these analyzed having as starting point event hit Mandra town (Athens, Greece) 15 November 2017, highlighting feasibility accuracy overall providing insights field.

Язык: Английский

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SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics

Geoscientific model development, Год журнала: 2023, Номер 16(3), С. 977 - 1008

Опубликована: Фев. 8, 2023

Abstract. The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in Integrated form (SERGHEI) is a multi-dimensional, multi-domain, multi-physics model framework environmental landscape simulation, designed with an outlook towards Earth system modelling. At the core of SERGHEI's innovation its performance-portable high-performance parallel-computing (HPC) implementation, built from scratch on Kokkos portability layer, allowing SERGHEI to be deployed, fashion, graphics processing unit (GPU)-based heterogeneous systems. In this work, we explore combinations MPI using OpenMP CUDA backends. contribution, introduce present detail first operational module solving shallow-water equations (SERGHEI-SWE) HPC implementation. This applicable hydrological problems including flooding runoff generation, Its applicability demonstrated by testing several well-known benchmarks large-scale problems, which SERGHEI-SWE achieves excellent results different types problems. Finally, scalability performance evaluated TOP500 systems, very good scaling range over 20 000 CPUs up 256 state-of-the art GPUs.

Язык: Английский

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Joint assimilation of satellite soil moisture and streamflow data for the hydrological application of a two-dimensional shallow water model

Journal of Hydrology, Год журнала: 2023, Номер 621, С. 129667 - 129667

Опубликована: Май 16, 2023

Data assimilation (DA) in physically-based hydrodynamic models is conditioned by the difference temporal and spatial scales of observed data resolution model itself. In order to use remote sensing small-scale modelling, it necessary explore innovative DA methods that can lead a more plausible representation variability parameters processes involved. present study, satellite-derived soil moisture situ-observed streamflow were jointly assimilated into high-resolution hydrological-hydrodynamic based on Iber software, using Tempered Particle Filter (TPF) for dual estimation state variables parameters. Twelve storm events occurring 199 km2 catchment located NW Spain used testing proposed approach. A 3-step procedure was followed: (1) sensitivity analysis parameters; (2) joint discharge estimate correlations between observations (3) an initial set particles parameter standard deviations derived from prior information. The numerical correctly reproduces data, with average Nash-Sutcliffe efficiency (NSE) value 0.74 over 12 when information used. approach described shown be most efficient produce isolated peak discharges.

Язык: Английский

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Evaluation of 2D hydrodynamic-based rainfall/runoff modelling for soil erosion assessment at a seasonal scale

Journal of Hydrology, Год журнала: 2024, Номер 632, С. 130778 - 130778

Опубликована: Янв. 26, 2024

Badlands are often the source of a significant fraction sediment reaching river network due to exposure bare soil impact rain drops and bed shear stress generated by surface runoff. Hence, correct understanding erosion transport processes inside badlands can help better characterisation suspended production at catchment scale. In this work we study suitability two-dimensional (2D) physically-based event-scale model as tool represent in seasonal The solves 2D shallow water equations, including infiltration rainfall, order compute generation routing runoff within badland. Coupled hydrodynamic equation with terms that account for rainfall- runoff-driven deposition. Based on model, an overall procedure was developed tested considering, case study, badland located El Soto (central Pyrenees, Iberian Peninsula). For analysed badland, several high-resolution topography surveys were available, which allowed estimation loss spatial distribution patterns periods 3-4 months over two years. These data sets used calibrate validate proposed modelling approach, analyse its capabilities limitations assessment

Язык: Английский

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Geospatial modelling of floods: a literature review

Stochastic Environmental Research and Risk Assessment, Год журнала: 2023, Номер 37(11), С. 4109 - 4128

Опубликована: Июль 10, 2023

Язык: Английский

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Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)

Natural hazards and earth system sciences, Год журнала: 2024, Номер 24(1), С. 225 - 243

Опубликована: Янв. 30, 2024

Abstract. On 9–13 February 2023 an intense flood event took place in the province of Maputo (Mozambique), resulting severe damage to agricultural lands and transport infrastructure with serious consequences for population. In district Boane, located a few kilometres downstream Pequenos Libombos dam, destroyed many food crops as well two bridges linking Maputo, thus affecting security These events are quite frequent this region, making delineation improved hazard maps development new risk management plans necessary. We reproduce high-resolution integrated hydrologic–hydraulic model fed freely available global data sources, using methodology that can be easily reproduced other data-scarce regions. The results validated observed estimations inflow reservoir, water marks left by Sentinel-1 image taken during recession flood. analyse effect reservoir on hazard, which was subject debate among affected population media. obtained show models based two-dimensional shallow-water equations, combined databases, currently able reasonably extent peak discharge extreme basins therefore very useful tools these

Язык: Английский

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An integral assessment of landslide dams generated by the occurrence of rainfall-induced landslide and debris flow hazard chain

Frontiers in Earth Science, Год журнала: 2023, Номер 11

Опубликована: Июнь 1, 2023

Landslides caused by rainfall are one of the most frequent causes disasters in tropical countries and mountainous terrain can block rivers generating landslide dams. This paper presents a methodology for estimation obstruction water streams generated rainfall-induced shallow landslides. The spatial distribution hazard was estimated terms Factor Safety (FoS) values using deterministic method with physical basis SLIDE (Slope - Infiltration Distributed Equilibrium). regimes study area were means simple scaling Log Normal Model. Subsequently, resulting areas high level that could detach reach riverbed identified as sources simulation debris flow runout Rapid Mass Movement Simulation model its module, (i.e., RAMMS-DF), estimating zones should be analyzed detail. Finally, effects river channel obstructions after movement Iber, well-known, physically based 2D hydraulic their possible changes on hydraulic. In order to generate workflow allows application preparation inputs subsequent processes propagation modeling corridor analysis, Python-based toolbox created. Our results highlight fluvial dynamics analysis dams occurrence chain different return periods. all cases, material deposited sufficient change regime corridor, showing longer delay times transit flow, addition decrease specific flow. would imply shortage basin hydroelectric project; however, scope this project it is not really determine real event.

Язык: Английский

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Iber-PEST: Automatic calibration in fully distributed hydrological models based on the 2D shallow water equations

Environmental Modelling & Software, Год журнала: 2024, Номер 177, С. 106047 - 106047

Опубликована: Апрель 17, 2024

Calibrating physically based hydrological models manually is time-consuming and challenging. Automatic calibration tools have become prevalent in these models; however, its effective use requires not only a deep knowledge of the procedure itself, but also understanding structure model input output files. In this study, we introduce Iber-PEST, novel framework combining parameter estimation uncertainty analysis package, PEST, with Iber, 2D on shallow water equations. We demonstrate capabilities by successfully calibrating eight storm events northwestern Spain's basins, achieving promising results (mean NSE equal to 0.84). Furthermore, applying iterative ensemble smoother included feasibility data generated Iber-PEST alternative PEST algorithms directly integrated framework. This work addresses significant implementation barrier associated automatic Iber PEST.

Язык: Английский

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A GPU-accelerated and LTS-based 2D hydrodynamic model for the simulation of rainfall-runoff processes

Journal of Hydrology, Год журнала: 2023, Номер 623, С. 129735 - 129735

Опубликована: Май 30, 2023

Язык: Английский

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