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|CSDMS meeting abstract presentation=meanderpy is a Python implementation of a simple kinematic model of meandering, based on the Howard and Knutson (1984) model. In contrast with previous implementations, we assume a simple linear relationship between curvature and migration rate and, using time-lapse satellite imagery, show that the model predicts 55% of the variance in migration rates in seven rivers of the Amazon Basin. It also predicts the formation of autogenic counter point bars: deposits related to channel segments along which the curvature and migration rate vectors have opposing orientations. These finer-grained deposit types tend to form on the upstream side of high-curvature, short bends that rapidly translate downstream. Wrapping simple geomorphic surfaces around the centerlines allows us to build three-dimensional stratigraphic models of both fluvial and submarine meandering systems.
|CSDMS meeting abstract presentation=meanderpy is a Python implementation of a simple kinematic model of meandering, based on the Howard and Knutson (1984) model. In contrast with previous implementations, we assume a simple linear relationship between curvature and migration rate and, using time-lapse satellite imagery, show that the model predicts 55% of the variance in migration rates in seven rivers of the Amazon Basin. It also predicts the formation of autogenic counter point bars: deposits related to channel segments along which the curvature and migration rate vectors have opposing orientations. These finer-grained deposit types tend to form on the upstream side of high-curvature, short bends that rapidly translate downstream. Wrapping simple geomorphic surfaces around the centerlines allows us to build three-dimensional stratigraphic models of both fluvial and submarine meandering systems.
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Latest revision as of 15:16, 26 May 2019

CSDMS3.0 - Bridging Boundaries


meanderpy: A simple model of meandering sheds light on channel kinematics and autogenic counter point bars



Zoltan Sylvester

Bureau of Economic Geology, The University of Texas at Austin, United States
zoltan.sylvester@beg.utexas.edu


Abstract
meanderpy is a Python implementation of a simple kinematic model of meandering, based on the Howard and Knutson (1984) model. In contrast with previous implementations, we assume a simple linear relationship between curvature and migration rate and, using time-lapse satellite imagery, show that the model predicts 55% of the variance in migration rates in seven rivers of the Amazon Basin. It also predicts the formation of autogenic counter point bars: deposits related to channel segments along which the curvature and migration rate vectors have opposing orientations. These finer-grained deposit types tend to form on the upstream side of high-curvature, short bends that rapidly translate downstream. Wrapping simple geomorphic surfaces around the centerlines allows us to build three-dimensional stratigraphic models of both fluvial and submarine meandering systems.

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Of interest for:
  • Terrestrial Working Group
  • Marine Working Group
  • Hydrology Focus Research Group