Lab-0011

From CSDMS

Quantifying river channel evolution with Landlab

Model
Landlab
Duration
2.0 hrs
Updated
2020/08/27
Download
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Run online
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Contributor(s)
    Nicole Gasparini at Tulane University.

Introduction
Screen Shot 2020-04-21 at 4.42.13 PM.png
In this exercise you will modify the code to get a better understanding of how rock uplift rates and patterns and the erodibility coefficient control fluvial channel form.

Classroom organization
Answer these questions before running the notebook.

1. What do you think will happen to total relief (defined as the maximum minus the minimum elevation, here area is fixed) and channel slope at steady state if $K_{sp}$ is uniformly increased?

2. What do you think will happen to total relief and channel slope at steady state if $U$ is uniformly increased?

3. How do you think a steady-state landscape with a uniform low rock uplift rate will respond if rock uplift is uniformly increased (relative to a steady base level)? How will channel slopes change through time?

Learning objectives
Skills
Key concepts

Lab notes
Start at the top by reading each block of text and sequentially running each code block (shift - enter OR got to the Cell pulldown menu at the top and choose Run Cells).

If you just change one code block and rerun only that code block, only the parts of the code in that code block will be updated. (E.g. if you change parameters but don't reset the code blocks that initialize run time or topography, then these values will not be reset.)

This lab can be run on the CSDMS JupyterHub. (If you don't already have an account, follow the instructions to sign up at: https://csdms.colorado.edu/wiki/JupyterHub.) Run the lab Notebook by clicking the "start" link under the Run online heading at the top of this page. If you're an educator using this lab in a class, you can get CSDMS JupyterHub accounts for students. For more information, please contact us through the CSDMS Help Desk: https://github.com/csdms/help-desk.

Requirements
If run locally, this lab requires the installtion of the Python packages numpy, matplotlib, and landlab. For more information on installing Landlab, see https://landlab.github.io/#/#install.

References