TELEMAC: An efficient hydrodynamics suite for massively parallel architectures

Moulinec, Charles; Denis, Christophe; Pham, Chi-Tuan; Rougé, D.; Hervouet, Jean‐Michel; Razafindrakoto, E.; Barber, Robert W.; Emerson, David R.; Gu, Xiao Jun

doi:10.1016/j.compfluid.2011.07.003

Cited by 43 publications

(17 citation statements)

References 5 publications

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“…As reviewed in Teng et al (2017), most of these models are either based on observations (empirical models) (such as those reviewed by Smith 1997) or solving fluid motion equations (hydrodynamic models) (e.g. Brunner 2016;DHI 2012;Moulinec et al 2011;Prakash et al 2014;Vacondio et al 2011), whilst in recent years, a group of simple conceptual models have been developed using simplified physical processes to provide rapid estimation of flood inundation (e.g. L'homme et al 2008;Nobre et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain

Teng

Vaze

Kim

et al. 2018

Water Resour Manage

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The simple conceptual flood inundation model TVD (Teng-Vaze-Dutta) is more computationally efficient and cost-effective than traditional hydrodynamic models. It is especially useful for applications that do not require velocity output and have low demands on flood dynamic representation. In this study, we have addressed the main inherent limitations of the original TVD model including: the assumption that all the floodplain depressions connected to the river are instantly filled up to the in-stream water level at each time step; the lack of information sharing at the boundary of two modelling reaches; and insufficient soil moisture processes. All of these can affect the model's applicability and accuracy, especially in very flat and hydrologically complex floodplains. A number of improvements to the model structure have been implemented to address mass conservation, reach connectivity and water balance issues. The revised model was set up to simulate a number of flood events in Australia's lower Balonne River and Darling River to test for its enhanced capability. The modelled inundation extents before and after the improvements were assessed against remote sensing water maps. The model developments have improved the accuracy of modelled flood extent. Nevertheless, there are still remaining issues that require the model to be used with caution when simulating flood inundation in difficult-to-model topographies, largely, the demand for reliable input of overbank flow volume and the extrapolating issue with weighting schemes.

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Section: Introductionmentioning

confidence: 99%

Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain

Teng

Vaze

Kim

et al. 2018

Water Resour Manage

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“…As ground data are either scarce (e.g., in many countries of Africa, Komi et al, 2017), or declining (e.g., in the pan-Arctic region, Lins, 2008), and therefore time series incomplete, hydrological modelling is a useful tool to understand main processes involved in flood scenarios and to obtain outputs for flood hazard mapping such as the water depth, the flood extent, the flow velocity, and the duration of inundation (Néelz & Pender, 2010;Néelz & Pender, 2013;Santillan et al, 2016). With computational technology progress, modelling can be achieved in 1D (Brunner, 2016), 2D (Moulinec et al, 2011), or 3D (Prakash, Rothauge, & Cleary, 2014). However, the more dimensions are involved, the more is needed in terms of quantity, quality of data, and computational cost (Hunter, Bates, Horritt, & Wilson, 2007).…”

Section: Key Flood Hazard Parametersmentioning

confidence: 99%

Flood hazard assessment and the role of citizen science

Frischknecht

Dao

et al. 2019

J Flood Risk Management

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Flood hazard assessment is at the core of flood risk management. In order to develop an efficient flood hazard assessment, it is of primary importance to have a well‐defined flood scenario encompassing all processes that could occur during an event. Understanding and assessing these processes requires meteorological, topographical and land‐use data as well as historical observations. Nowadays, flood delineation is based upon hydrological and hydraulic modelling, ground data collection, and remote sensing. Despite the advantages of these tools, they also present some specific limitations, either intrinsic to the approaches or linked with constraints of the local context. With the rapid advancement of web 2.0 technologies (e.g., Flickr and Wikimapia) and the increase of the use of participatory research, citizen science has the potential to provide valuable and complementary information at all levels of flood risk management and in particular for flood hazard assessment. After reviewing the capabilities and limitations of the current tools used in flood hazard assessment, this paper demonstrates the role that citizen science can play in providing key information on factors leading to flooding and on flood hazard parameters.

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“…Empirical methods entail direct observation through methods such as remote sensing, measurements, and surveying, and have since evolved into statistical methods informed by fitting relationships to empirical data. Hydrodynamic models, incorporating three subclasses, viz., one-dimensional (Brunner, 2016;DHI, 2003), two-dimensional (DHI, 2012;Moulinec et al, 2011), and three-dimensional (Prakash et al, 2014;Vacondio et al, 2011), consider fluid motion in terms of physical laws to derive and solve equations. The third model class, simple conceptual, has become increasingly well known in the contexts of large study areas, data scarcity, and/or stochastic modeling and encompasses the majority of recent developments in inundation modeling practices (Teng et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

InundatEd-v1.0: a height above nearest drainage (HAND)-based flood risk modeling system using a discrete global grid system

2021

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Abstract. Despite the high historical losses attributed to flood events, Canadian flood mitigation efforts have been hindered by a dearth of current, accessible flood extent/risk models and maps. Such resources often entail large datasets and high computational requirements. This study presents a novel, computationally efficient flood inundation modeling framework (“InundatEd”) using the height above nearest drainage (HAND)-based solution for Manning's equation, implemented in a big-data discrete global grid system (DGGS)-based architecture with a web-GIS (Geographic Information Systems) platform. Specifically, this study aimed to develop, present, and validate InundatEd through binary classification comparisons to recently observed flood events. The framework is divided into multiple swappable modules including GIS pre-processing; regional regression; inundation models; and web-GIS visualization. Extent testing and processing speed results indicate the value of a DGGS-based architecture alongside a simple conceptual inundation model and a dynamic user interface.

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TELEMAC: An efficient hydrodynamics suite for massively parallel architectures

Cited by 43 publications

References 5 publications

Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain

Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain

Flood hazard assessment and the role of citizen science

InundatEd-v1.0: a height above nearest drainage (HAND)-based flood risk modeling system using a discrete global grid system

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