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Multi‐lithology stratigraphic model under maximum erosion rate constraint
Author(s) -
Eymard R.,
Gallouët T.,
Granjeon D.,
Masson R.,
Tran Q. H.
Publication year - 2004
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.974
Subject(s) - discretization , lithology , geology , erosion , computation , hydrogeology , mathematics , sediment transport , mathematical optimization , sediment , computer science , geotechnical engineering , algorithm , geomorphology , petrology , mathematical analysis
Non‐linear single lithology or multi‐lithology diffusion models have been widely used by sedimentologists and geomorphologists in the field of stratigraphic basin simulations to simulate the large scale depositional transport processes of sediments. Nevertheless, as noticed by many authors, erosion and sedimentation processes are non‐symmetric. Soil material must first be produced in situ by weathering processes prior to be transported by diffusion. This is usually taken into account through a prescribed maximum erosion rate of the sediments, but no mathematical description of the coupling with the diffusion model has been proposed so far. In this paper, we introduce a new mathematical formulation for the coupling of the weather limited erosion and the multi‐lithology diffusion models, which appears as a non‐standard free boundary problem for a new variable acting as a limitor of the fluxes. One of the main advantages of this formulation, compared to existing discrete coupling models, is to enable the definition of efficient discretization schemes. A finite volume scheme with implicit time integration is introduced which is proved to be unconditionally stable in the l ∞ norm for the sediment thickness, the sediment concentrations in the lithologies, and the flux limitor variables. A Newton algorithm with an iterative computation of the saturated constraints is used to solve efficiently the non‐linear system resulting from the discretization. The efficiency of the model and the numerical scheme is illustrated on 2D and 3D basin simulation examples. Copyright © 2004 John Wiley & Sons, Ltd.