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A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS)

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journal contribution
posted on 14.08.2019 by Xilin Xia, Qiuhua Liang, Xiaodong Ming
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.

Funding

NERC funded SINATRA/TENDERLY projects (NE/K008781/1)

Flood-PREPARED project (NE/P017134/1)

WeACT project (NE/S005919/1)

FUTURE-DRAINAGE project (NE/S016678/1)

River basins as living laboratories project (NE/S012427/1)

History

School

  • Architecture, Building and Civil Engineering

Published in

Advances in Water Resources

Volume

132

Publisher

Elsevier BV

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier Ltd

Publisher statement

This paper was accepted for publication in the journal Advances in Water Resources and the definitive published version is available at https://doi.org/10.1016/j.advwatres.2019.103392.

Acceptance date

07/08/2019

Publication date

2019-08-07

Copyright date

2019

ISSN

0309-1708

Language

en

Depositor

Dr Xilin Xia

Article number

103392

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