Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations

A common technique for simulating non–Newtonian fluid dynamics, such as snow avalanches, is to solve the Shallow Water Equations (SWE), together with a rheological model describing the momentum dissipation by shear stresses. Friction and cohesion terms are commonly modelled using the Voellmy frictio...

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Published in:Journal of Glaciology
Main Authors: Marcos Sanz-Ramos, Ernest Bladé, Pere Oller, Glòria Furdada
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press
Subjects:
Online Access:https://doi.org/10.1017/jog.2023.48
https://doaj.org/article/714943a014504c558ef61a3b2b4f6aa9
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spelling ftdoajarticles:oai:doaj.org/article:714943a014504c558ef61a3b2b4f6aa9 2023-08-20T04:07:38+02:00 Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations Marcos Sanz-Ramos Ernest Bladé Pere Oller Glòria Furdada https://doi.org/10.1017/jog.2023.48 https://doaj.org/article/714943a014504c558ef61a3b2b4f6aa9 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143023000485/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2023.48 0022-1430 1727-5652 https://doaj.org/article/714943a014504c558ef61a3b2b4f6aa9 Journal of Glaciology, Pp 1-17 2D Shallow Water Equations dense snow avalanches finite volume method non–Newtonian fluid Roe scheme Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article ftdoajarticles https://doi.org/10.1017/jog.2023.48 2023-07-30T00:39:06Z A common technique for simulating non–Newtonian fluid dynamics, such as snow avalanches, is to solve the Shallow Water Equations (SWE), together with a rheological model describing the momentum dissipation by shear stresses. Friction and cohesion terms are commonly modelled using the Voellmy friction model and, recently, the Bartelt cohesion model. Here, an adaptation of the Roe scheme that ensures the balance between the flux and pressure gradients and the friction source term is presented. An upwind scheme was used for the discretisation of the SWE numerical fluxes and the non–velocity-dependent terms of the friction–cohesion model, whereas a centred scheme was used for the velocity-dependent source terms. The model was tested in analytically solvable settings, laboratory experiments and real cases. In all cases, the model performed well, avoiding numerical instabilities and achieving stable and consistent solution even for an avalanche stopping on a sloping terrain. Article in Journal/Newspaper Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Journal of Glaciology 1 17
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic 2D Shallow Water Equations
dense snow avalanches
finite volume method
non–Newtonian fluid
Roe scheme
Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
spellingShingle 2D Shallow Water Equations
dense snow avalanches
finite volume method
non–Newtonian fluid
Roe scheme
Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
Marcos Sanz-Ramos
Ernest Bladé
Pere Oller
Glòria Furdada
Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations
topic_facet 2D Shallow Water Equations
dense snow avalanches
finite volume method
non–Newtonian fluid
Roe scheme
Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
description A common technique for simulating non–Newtonian fluid dynamics, such as snow avalanches, is to solve the Shallow Water Equations (SWE), together with a rheological model describing the momentum dissipation by shear stresses. Friction and cohesion terms are commonly modelled using the Voellmy friction model and, recently, the Bartelt cohesion model. Here, an adaptation of the Roe scheme that ensures the balance between the flux and pressure gradients and the friction source term is presented. An upwind scheme was used for the discretisation of the SWE numerical fluxes and the non–velocity-dependent terms of the friction–cohesion model, whereas a centred scheme was used for the velocity-dependent source terms. The model was tested in analytically solvable settings, laboratory experiments and real cases. In all cases, the model performed well, avoiding numerical instabilities and achieving stable and consistent solution even for an avalanche stopping on a sloping terrain.
format Article in Journal/Newspaper
author Marcos Sanz-Ramos
Ernest Bladé
Pere Oller
Glòria Furdada
author_facet Marcos Sanz-Ramos
Ernest Bladé
Pere Oller
Glòria Furdada
author_sort Marcos Sanz-Ramos
title Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations
title_short Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations
title_full Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations
title_fullStr Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations
title_full_unstemmed Numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2D shallow water equations
title_sort numerical modelling of dense snow avalanches with a well-balanced scheme based on the 2d shallow water equations
publisher Cambridge University Press
url https://doi.org/10.1017/jog.2023.48
https://doaj.org/article/714943a014504c558ef61a3b2b4f6aa9
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology, Pp 1-17
op_relation https://www.cambridge.org/core/product/identifier/S0022143023000485/type/journal_article
https://doaj.org/toc/0022-1430
https://doaj.org/toc/1727-5652
doi:10.1017/jog.2023.48
0022-1430
1727-5652
https://doaj.org/article/714943a014504c558ef61a3b2b4f6aa9
op_doi https://doi.org/10.1017/jog.2023.48
container_title Journal of Glaciology
container_start_page 1
op_container_end_page 17
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