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Modelling controls on aeolian dune-field pattern evolution

Modelling controls on aeolian dune-field pattern evolution
Modelling controls on aeolian dune-field pattern evolution
A second-generation, source-to-sink cellular automaton-based model presented here captures and quantifies many of the factors controlling the evolution of aeolian dune-field patterns by varying only a small number of parameters. The role of sediment supply, sediment availability and transport capacity (together defined as sediment state) in the development and evolution of an aeolian dune-field pattern over long time scales is quantified from model simulations. Seven dune-field patterns can be classified from simulation results varying the sediment supply and transport capacity that control the type and frequency of dune interactions, the sediment availability of the system and, ultimately, the development of dune-field patterns. This model allows predictions to be made about the range of sediment supply and wind strengths required to produce the dune-field patterns seen in the real world. A new clustered dune-field pattern is identified from model results and used to propose an alternative mechanism for the formation of superimposed dunes. Bedforms are hypothesized to cluster together, simultaneously forming two spatial scales of bedforms without first developing a large basal dune with small superimposed dunes. Manipulation of boundary conditions produces evolving dune fields with different spatial configurations of sediment supply. Trends of spacing and crest length increase with decreasing variability as the dune field matures. This simple model is a valuable tool which can be used to elucidate the dominant control of aeolian sediment state on the construction and evolution of aeolian dune-field patterns
aeolian sediment transport, cellular automata, dune-field pattern, landscape evolution, modelling, sand dunes
0037-0746
1391-1406
Eastwood, Erin
ec09a9e9-97bc-4c59-a9fc-0cab2d204ea7
Nield, Joanna M.
173be2c5-b953-481a-abc4-c095e5e4b790
Baas, Andreas
d2654e1a-d816-438a-bf63-793f8c6d08fd
Kocurek, Gary
f32038b3-ce33-47dc-a13e-2eb539b76152
Eastwood, Erin
ec09a9e9-97bc-4c59-a9fc-0cab2d204ea7
Nield, Joanna M.
173be2c5-b953-481a-abc4-c095e5e4b790
Baas, Andreas
d2654e1a-d816-438a-bf63-793f8c6d08fd
Kocurek, Gary
f32038b3-ce33-47dc-a13e-2eb539b76152

Eastwood, Erin, Nield, Joanna M., Baas, Andreas and Kocurek, Gary (2011) Modelling controls on aeolian dune-field pattern evolution. Sedimentology, 58, 1391-1406. (doi:10.1111/j.1365-3091.2010.01216.x).

Record type: Article

Abstract

A second-generation, source-to-sink cellular automaton-based model presented here captures and quantifies many of the factors controlling the evolution of aeolian dune-field patterns by varying only a small number of parameters. The role of sediment supply, sediment availability and transport capacity (together defined as sediment state) in the development and evolution of an aeolian dune-field pattern over long time scales is quantified from model simulations. Seven dune-field patterns can be classified from simulation results varying the sediment supply and transport capacity that control the type and frequency of dune interactions, the sediment availability of the system and, ultimately, the development of dune-field patterns. This model allows predictions to be made about the range of sediment supply and wind strengths required to produce the dune-field patterns seen in the real world. A new clustered dune-field pattern is identified from model results and used to propose an alternative mechanism for the formation of superimposed dunes. Bedforms are hypothesized to cluster together, simultaneously forming two spatial scales of bedforms without first developing a large basal dune with small superimposed dunes. Manipulation of boundary conditions produces evolving dune fields with different spatial configurations of sediment supply. Trends of spacing and crest length increase with decreasing variability as the dune field matures. This simple model is a valuable tool which can be used to elucidate the dominant control of aeolian sediment state on the construction and evolution of aeolian dune-field patterns

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More information

Published date: 25 January 2011
Keywords: aeolian sediment transport, cellular automata, dune-field pattern, landscape evolution, modelling, sand dunes
Organisations: Geography, Geography & Environment

Identifiers

Local EPrints ID: 172495
URI: https://eprints.soton.ac.uk/id/eprint/172495
ISSN: 0037-0746
PURE UUID: a0aeb1d8-26f1-4441-ab68-ca87c708d315
ORCID for Joanna M. Nield: ORCID iD orcid.org/0000-0002-2657-0525

Catalogue record

Date deposited: 27 Jan 2011 09:40
Last modified: 06 Jun 2018 12:37

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