Simulation of the Genesis of Current Ripples By Means of a Cellular Automaton
Published:January 01, 1999
J. J. P. Zijlstra, 1999. "Simulation of the Genesis of Current Ripples By Means of a Cellular Automaton", Numerical Experiments in Stratigraphy: Recent Advances in Stratigraphic and Sedimentologic Computer Simulations, John W. Harbaugh, W. Lynn Watney, Eugene C. Rankey, Rudy Slingerland, Robert H. Goldstein, Evan K. Franseen
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Systems that are characterized by large numbers of similar components that interact locally have been successfully modeled with the help of cellular automata. A cellular automaton is a logic rule that updates conditions in a grid of locations as a function only of the conditions in the direct neighborhood of these locations. The derivation of an appropriate cellular automaton rule for the genesis of current ripples serves as an example of the usefulness and the application of cellular automata in sedimentary and stratigraphic modeling, in particular where self-organizing processes are involved.
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Numerical Experiments in Stratigraphy: Recent Advances in Stratigraphic and Sedimentologic Computer Simulations
Numerical Experiments in Stratigraphy: Recent Advances in Stratigraphic and Sedimentologic Computer Simulations - This volume presents the results derived from a three-day workshop held at the University of Kansas, Lawrence, Kansas, from May 15 through May 17, 1996. The objectives of the workshop were to document, characterize, demonstrate, and compare different computing procedures that have been utilized in simulating stratigraphic sequences. Both inverse and forward simulation modeling procedures are represented. The results of the workshop and the papers assembled here include: (1) an enhanced understanding of similarities and differences between models and modeling philosophies, (2) increased communication among modeling groups and geoscientists, (3) critical evaluation of applications and assessment of how models have been utilized, and (4) improvements and refinements in techniques for generating and describing model input and output.