Flood Routing and Inundation Prediction

Bates, Paul

doi:10.1002/0470848944.hsa132

Cited by 3 publications

(3 citation statements)

References 113 publications

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“…A driving force here in the 1980s/1990s for incremental model improvements was competition to provide public agencies with better models between HR Wallingford (previously specialising in physical models) and the Halcrow Group (now Jacobs), a private civil engineering company. The far lower costs of mathematical modelling compared with physical modelling [7] also drove the innovation (Bates, 2005), in an environment of competitive tendering, as well as the former's ability easily to investigate multiple scenarios rather than single situations.…”

Section: Avenue 5: Information Technologiesmentioning

confidence: 99%

Innovation in flood risk management: An ‘Avenues of Innovation’ analysis

Guerriero

Penning‐Rowsell

2020

J Flood Risk Management

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Innovation in flood risk management (FRM) is a driver for change. Research, however, is sparse in this area, and innovation itself appears to be left largely to chance. This paper uses a ’systems of innovation’ approach, defining ’avenues’ of innovation, to explore factors that promote or inhibit innovation. The research is based on in‐depth interviews with 10 leading figures in FRM in the United Kingdom, and describes the interactions and iterations involved. We conclude that in terms of practice the encouragement of champions should be enhanced, risk cultures require concerted attention to minimise risk aversion, learning should be facilitated, and innovation scaled up to maximise its effectiveness. We aim also to add to the literature on innovation systems, providing a case study of a complex field previously unexplored in this regard. Detailed innovation‐encouraging processes here need to be better understood and FRM policies and practices adjusted accordingly.

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Section: Avenue 5: Information Technologiesmentioning

confidence: 99%

Innovation in flood risk management: An ‘Avenues of Innovation’ analysis

Guerriero

Penning‐Rowsell

2020

J Flood Risk Management

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“…Numerical models can be based on simple empirical formulas, conceptual hydrological frameworks, or detailed hydrodynamic solutions. A systematic overview of models for determining flood propagation and inundation is provided by Maranzoni et al [3], Bates [5], Teng et al [6], Kumar et al [7] and Hill et al [8].…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Two-Dimensional Cascade Modeling of the Odra River for Flood Hazard Management

Banasiak

2023

Water

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Large-scale two-dimensional hydrodynamic modeling at high resolution is still rarely performed because of its high computational cost and the lack of topographical data for some areas. Despite this, such modeling has been performed for the Odra River, the second largest river in Poland. This river has a high potential for flooding, which has been severely experienced many times in history, most recently in 1997 and 2010, when floods caused large losses. Since then, many different types of activities have been executed in order to reduce the risk of flooding. The paper presents a 2D modeling concept created during these activities. Given that the river valley is up to several kilometers wide, and consists of many complex topographical features and hydrotechnical facilities, a cascade of 25 2D models in MIKE21 software was developed. It covers a 600 km long section of the Odra River and an area of 5700 km2 in total. A regular grid resolution of 4–6 m was used in the modeling. The models were applied for numerous purposes, first for the elaboration of flood hazard and flood risk maps for larger cities, and then for the verification of historic flood data and stage–discharge relations at gauge stations, as well as the verification of design discharges via flood routing. Other important uses were the evaluation of the effectiveness of flood mitigating works, including the feasibility study for the Racibórz reservoir, and the assessment of flood hazard due to embankment failure or ice jamming. Selected applications, as well as practical aspects of the model’s preparation and use, are presented.

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“…While the implementation details differ, most of the models used commercially solve the shallow water equations (SWEs) for depth-integrated flow, or approximations of those equations such as the 2D diffusion wave. 1,2 Despite advances in processing, it can still take a long time to set up and run a 2D model, which limits the number of scenarios, spatial extent or level of detail that can be delivered. In particular, the emergence of risk-based methods for flood modelling, [3][4][5] which often involve Monte Carlo simulation of multiple-event scenarios, will increasingly demand computationally intensive modelling to generate flood depths and other data on 2D grids.…”

Section: Introductionmentioning

confidence: 99%

A fast two-dimensional floodplain inundation model

Lamb¹,

Crossley²,

Waller³

2009

Proceedings of the Institution of Civil Engineers - Water Manag

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Two-dimensional (2D) flood inundation modelling is now an important part of flood risk management practice. Research in the fields of computational hydraulics and numerical methods, allied with advances in computer technology and software design, have brought 2D models into mainstream use. Even so, the models are computationally demanding and can take a long time to run, especially for large areas and at high spatial resolutions (for instance 2 3 2 m or smaller grid cells). There is thus strong motivation to accelerate 2D model codes. This paper demonstrates the use of technology from the computer graphics industry to accelerate a 2D diffusion wave (non-inertial) floodplain model. Over the past decade the huge market for computer games has driven the development of very fast, relatively low-cost 'graphical processing units'. In recent years there has been a growing interest in this high-performance graphics hardware for scientific and engineering applications. This work adapted a flood model algorithm to run on a commodity personal computer graphics card. The results of a benchmark urban flood simulation were reproduced and the model run time reduced from 18 h to 9 . 5 min.

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Flood Routing and Inundation Prediction

Cited by 3 publications

References 113 publications

Innovation in flood risk management: An ‘Avenues of Innovation’ analysis

Innovation in flood risk management: An ‘Avenues of Innovation’ analysis

Large-Scale Two-Dimensional Cascade Modeling of the Odra River for Flood Hazard Management

A fast two-dimensional floodplain inundation model

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