Abstract
Abstract. The local inertial two-dimensional (2D) flow model on
LISFLOOD-FP, the so-called ACCeleration (ACC) uniform grid solver, has been widely used to
support fast, computationally efficient fluvial/pluvial flood simulations.
This paper describes new releases, on LISFLOOD-FP 8.1, for parallelised
flood simulations on the graphical processing units (GPUs) to boost
efficiency of the existing parallelised ACC solver on the central processing
units (CPUs) and enhance it further by enabling a new non-uniform grid
version. The non-uniform solver generates its grid using the multiresolution
analysis (MRA) of the multiwavelets (MWs) to a Galerkin polynomial
projection of the digital elevation model (DEM). This sensibly coarsens the
resolutions where the local topographic details are below an error threshold
ε and allows classes of land use to be properly adapted. Both the
grid generator and the adapted ACC solver on the non-uniform grid are
implemented in a GPU new codebase, using the indexing of Z-order curves
alongside a parallel tree traversal approach. The efficiency performance of
the GPU parallelised uniform and non-uniform grid solvers is assessed for
five case studies, where the accuracy of the latter is explored for
ε=10-4 and 10−3 in terms of how close it can
reproduce the prediction of the former. On the GPU, the uniform ACC solver
is found to be 2–28 times faster than the CPU predecessor with increased
number of elements on the grid, and the non-uniform solver can further
increase the speed up to 320 times with increased reduction in the grid's
elements and decreased variability in the resolution. LISFLOOD-FP 8.1,
therefore, allows faster flood inundation modelling to be performed at both
urban and catchment scales. It is openly available under the GPL v3 license,
with additional documentation at https://www.seamlesswave.com/LISFLOOD8.0
(last access: 12 March 2023).
Funder
Engineering and Physical Sciences Research Council
Natural Environment Research Council
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献