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A GPU-Accelerated Hydrodynamic Model for Urban Flood Inundation

Lookup NU author(s): Professor Qiuhua Liang, Dr Luke Smith

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Abstract

A new shock-capturing hydrodynamic modelling framework is presented for urban flood simulation. The software solves the two-dimensional shallow water equations (SWEs) using a first-order accurate Godunov-type shock-capturing scheme coupled with an HLLC approximate Riemann solver for flux evaluation. The framework is also able to effectively handle wet-dry interfaces and complex domain topography. In order to accelerate large-scale high-resolution simulations, the benefits of modern graphics processing units (GPUs) are explored and a new software structure is implemented, which distinguishes it from existing flood modelling tools. In order to test its performance, the tool is applied to predict flood inundation due to rainfall and a point source surface flow in Glasgow, Scotland, and a hypothetical inundation event at different spatial resolutions in Thamesmead, England caused by embankment failure. Numerical experiments demonstrate significant benefits for high-resolution modelling of urban flood inundation, and a much-improved level of performance without compromising result quality.


Publication metadata

Author(s): Liang Q, Smith LS

Editor(s): Zhaoyin,W;Lee,JH;Jizhang,G;Shuyou,C

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 35th IAHR World Congress

Year of Conference: 2013

Publisher: Tsinghua University Press

Library holdings: Search Newcastle University Library for this item

ISBN: 9787302335443


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