Adaptive Multi-Scale Shallow Flow Model: a Wavelet-Based Formulation

8 pages•Published: September 20, 2018

Georges Kesserwani, Mohammad Kazem Sharifian and James Shaw

Abstract

This work outlines the use of wavelet bases to re-formulate a finite volume (FV) local solution of the shallow water equations (SWEs), so as to achieve mesh adaptivity via local compression and truncation of the numerical solution’s details across successive resolution scales with reference to a single threshold error set by the user. The wavelet bases naturally lead to a scalable FV formulation and how they can readily be exploited to achieve adaptive mesh-resolution selection: up-scaling and/or down- scaling by means of the local solutions’ data (i.e. both flow variables and terrain). Our results show a notable promise in using wavelets as a basis for future flood models to achieve conservative and more autonomous simulation at a wide range of length-scales.

Keyphrases: multiresolution modelling, practical insights, shallow water equations, wavelet compression

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1040-1047.

Links:	https://easychair.org/publications/paper/CdrQ
	https://doi.org/10.29007/vm3q

BibTeX entry

@inproceedings{HIC2018:Adaptive_Multi_Scale_Shallow,
  author    = {Georges Kesserwani and Mohammad Kazem Sharifian and James Shaw},
  title     = {Adaptive Multi-Scale Shallow Flow Model: a Wavelet-Based Formulation},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/CdrQ},
  doi       = {10.29007/vm3q},
  pages     = {1040-1047},
  year      = {2018}}

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