A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS)
•A full-scale fluvial flood modelling framework based on a high-performance hydrodynamic model solving the 2D SWEs.•Successful application to reproduce a storm induced flood in a 2500 km2 catchment at 5 m resolution.•High-resolution grid is essential for accurately simulating large-scale fluvial flo...
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| Published in | Advances in water resources Vol. 132; p. 103392 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.10.2019
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| Subjects | |
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| Abstract | •A full-scale fluvial flood modelling framework based on a high-performance hydrodynamic model solving the 2D SWEs.•Successful application to reproduce a storm induced flood in a 2500 km2 catchment at 5 m resolution.•High-resolution grid is essential for accurately simulating large-scale fluvial flood using a 2D hydrodynamic model.
Full-scale fluvial flood modelling over large catchments has traditionally been carried out using coupled hydrological and hydraulic/hydrodynamic models. Such a traditional modelling approach is not well suited for the simulation of extreme floods induced by intense rainfall, which is usually featured with highly transient and dynamic rainfall-runoff and flooding process. This work aims to develop and demonstrate a modelling framework to predict the full-scale process of fluvial flooding from the source (rainfall) to impact (inundation) over a large catchment using a single high-performance hydrodynamic model driven by rainfall inputs. The modelling framework is applied to reproduce the flood event caused by the 2015 Storm Desmond in the 2500 km2 Eden Catchment at 5 m resolution. Without intensive model calibration, the predicted results compare well with field observations in terms of inundation extent and gauged water levels across the catchment. Sensitivity tests reveal that high-resolution grid is essential for accurate simulation of fluvial flood events using a 2D hydrodynamic model. Accelerated by multiple modern GPUs, the simulation is more than 2.5 times faster than real time although it involves 100 million computational cells inside the computational domain. This work provides a novel and promising approach to assess and forecast at real time the risk of extreme fluvial floods from intense rainfall. |
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| AbstractList | •A full-scale fluvial flood modelling framework based on a high-performance hydrodynamic model solving the 2D SWEs.•Successful application to reproduce a storm induced flood in a 2500 km2 catchment at 5 m resolution.•High-resolution grid is essential for accurately simulating large-scale fluvial flood using a 2D hydrodynamic model.
Full-scale fluvial flood modelling over large catchments has traditionally been carried out using coupled hydrological and hydraulic/hydrodynamic models. Such a traditional modelling approach is not well suited for the simulation of extreme floods induced by intense rainfall, which is usually featured with highly transient and dynamic rainfall-runoff and flooding process. This work aims to develop and demonstrate a modelling framework to predict the full-scale process of fluvial flooding from the source (rainfall) to impact (inundation) over a large catchment using a single high-performance hydrodynamic model driven by rainfall inputs. The modelling framework is applied to reproduce the flood event caused by the 2015 Storm Desmond in the 2500 km2 Eden Catchment at 5 m resolution. Without intensive model calibration, the predicted results compare well with field observations in terms of inundation extent and gauged water levels across the catchment. Sensitivity tests reveal that high-resolution grid is essential for accurate simulation of fluvial flood events using a 2D hydrodynamic model. Accelerated by multiple modern GPUs, the simulation is more than 2.5 times faster than real time although it involves 100 million computational cells inside the computational domain. This work provides a novel and promising approach to assess and forecast at real time the risk of extreme fluvial floods from intense rainfall. Full-scale fluvial flood modelling over large catchments has traditionally been carried out using coupled hydrological and hydraulic/hydrodynamic models. Such a traditional modelling approach is not well suited for the simulation of extreme floods induced by intense rainfall, which is usually featured with highly transient and dynamic rainfall-runoff and flooding process. This work aims to develop and demonstrate a modelling framework to predict the full-scale process of fluvial flooding from the source (rainfall) to impact (inundation) over a large catchment using a single high-performance hydrodynamic model driven by rainfall inputs. The modelling framework is applied to reproduce the flood event caused by the 2015 Storm Desmond in the 2500 km² Eden Catchment at 5 m resolution. Without intensive model calibration, the predicted results compare well with field observations in terms of inundation extent and gauged water levels across the catchment. Sensitivity tests reveal that high-resolution grid is essential for accurate simulation of fluvial flood events using a 2D hydrodynamic model. Accelerated by multiple modern GPUs, the simulation is more than 2.5 times faster than real time although it involves 100 million computational cells inside the computational domain. This work provides a novel and promising approach to assess and forecast at real time the risk of extreme fluvial floods from intense rainfall. |
| ArticleNumber | 103392 |
| Author | Ming, Xiaodong Xia, Xilin Liang, Qiuhua |
| Author_xml | – sequence: 1 givenname: Xilin surname: Xia fullname: Xia, Xilin organization: School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, UK – sequence: 2 givenname: Qiuhua surname: Liang fullname: Liang, Qiuhua email: Q.Liang@lboro.ac.uk organization: School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, UK – sequence: 3 givenname: Xiaodong surname: Ming fullname: Ming, Xiaodong organization: School of Engineering, Newcastle University, Newcastle upon Tyne, UK |
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| Snippet | •A full-scale fluvial flood modelling framework based on a high-performance hydrodynamic model solving the 2D SWEs.•Successful application to reproduce a storm... Full-scale fluvial flood modelling over large catchments has traditionally been carried out using coupled hydrological and hydraulic/hydrodynamic models. Such... |
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| SubjectTerms | floods Fluvial flood modelling Godunov-type finite volume method GPU High-performance computing High-resolution simulation Hydrodynamic model hydrologic models rain risk runoff storms water resources watersheds |
| Title | A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS) |
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