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Efficient urban flood simulation using a GPU-accelerated SPH model

Lookup NU author(s): Professor Qiuhua Liang, Dr Xilin Xia, Dr Jingming Hou

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Abstract

© 2015, Springer-Verlag Berlin Heidelberg. Urban flooding may lead to significant losses of properties and lives and numerical modelling can facilitate better flood risk management to reduce losses. Flood modelling generally involves seeking numerical solutions to the shallow water equations (SWEs) or one of the simplified forms using the traditional numerical methods including the finite difference method (FDM), finite volume method (FVM) and finite element method (FEM). Recently, a relatively new approach, smoothed particle hydrodynamics (SPH), has also been used to solve the SWEs and encouraging results have been reported. However, the SPH method is computationally too demanding for efficient simulations, which has been one of the major disadvantages dogging its wider applications. This work presents an SPH model that is computationally accelerated by modern graphic processing units (GPUs) for efficient urban flooding modelling. The model’s predictive capability and enhanced computational efficiency are demonstrated by application to experimental and field-scale hypothetic urban flood events.

Publication metadata

Author(s): Liang Q, Xia X, Hou J

Publication type: Article

Publication status: Published

Journal: Environmental Earth Sciences

Year: 2015

Volume: 74

Issue: 11

Pages: 7285-7294

Print publication date: 01/12/2015

Online publication date: 18/09/2015

Acceptance date: 01/01/1900

ISSN (print): 1866-6280

ISSN (electronic): 1866-6299

Publisher: Springer Verlag

URL: http://doi.org/10.1007/s12665-015-4753-4

DOI: 10.1007/s12665-015-4753-4

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