Modeling of fluidized ejecta emplacement over digital topography on Venus
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Abstract
The FLOW computer model of McEwen and Malin (1989) modified for application to the study of Venus fluidized ejecta blankets (FEBs) demonstrates that relatively low viscosities, yield strengths, and initial velocities are required to duplicate the observed flow paths of the outflow materials. The model calculates the velocities and simulated flow paths of gravity flows over Magellan topography. The model is formulated to determine flow movements from initial conditions, gravitational acceleration, and resistance to motion as described by Coulomb, viscous, and turbulent resistance forces. Successful duplication of observed FEB flow paths has been achieved for the FEB craters Addams, Isabella, and Cochran. When used as a simple energy‐line model, the model requires low coefficients of friction to extend FEBs to near their observed termini in the synthetic aperture radar (SAR) imagery, although the resulting straight flow lines do not follow the observed flow paths well. For Bingham flow, the model requires low values of viscosity and yield strength which are more similar to pyroclastic or debris flows than basaltic lavas. Flows of 100‐m depth require 1 to 2 orders of magnitude higher values of both viscosity and yield strength than 10‐m‐deep flows. The complicated nature of the flow lines for the low velocity model suggests that FEBs were probably emplaced under variably laminar and turbulent flow conditions, where underlying topography influenced both the direction and energy of flow materials.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Modeling of fluidized ejecta emplacement over digital topography on Venus |
Series title | Journal of Geophysical Research E: Planets |
DOI | 10.1029/95JE02361 |
Volume | 101 |
Issue | E2 |
Year Published | 1996 |
Language | English |
Publisher | American Geophysical Union |
Publisher location | Washington, D.C. |
Contributing office(s) | Astrogeology Science Center |
Description | 10 p. |
Other Geospatial | Venus |
Google Analytic Metrics | Metrics page |