Skip to main content

Tools for simulating the weathering-mediated erosion of bedrock

Project description

Weathering-mediated bedrock erosion

Summary: Tools for simulating the weathering-mediated erosion of bedrock. The focus is on environments with no soil or talus accumulation: for example, on steep bedrock channel walls. The current treatment is 1d only, and it assumes an exponentially decaying weakening profile with depth into the rock.

Graph of erosion rate vs weathering number

Abstract

Weathering weakens bedrock and makes it more susceptible to mechanical erosion. Such weakening is an important process not only on rockslopes, but also in bedrock channels. The motivation in this project is to understand how weathering-driven weakening mediates erosion rates along cover-free bedrock channel boundaries, e.g., along channel walls.

Rock weakness is defined here as its propensity to erosion by flow-driven particle impacts: experimental data indicate such weakness is inversely proportional to the square of tensile strength, and that weakening takes place through wet/dry, freeze-thaw and thermal cycling at rates that diminish in a roughly exponential fashion with depth below the surface.

Solving a 1d model of this form of weathering, weakening and coeval erosion of bedrock, a surprising result emerges. Two speeds control model behavior: (i) the speed of ingress of the weathering front $w_0/k$, which arises from a baseline weathering rate $w_0$ and an e-folding depth $1/k$, and (ii) the baseline speed of erosion of fresh rock $v_0$. Behavior is parameterized by the ratio of the two speeds, defined here as the dimensionless weathering number ${{W}}$.

For slow weathering relative to the baseline erosion rate, ${{W}}<0.25$, the two speeds simply add and the rate of erosion is ${v_0 + w_0/k}$.

However, for relatively fast weathering, ${{W}}>2.5$, the predicted behavior is counter-intuitive: the rate of erosion becomes half the baseline speed $v_0/2$ augmented by the geometric mean of the two speeds $\sqrt{v_0 w_0/k}$; for very fast weathering, the multiplicative average dominates.

Under no circumstances does the weathering rate alone limit the rate of erosion.

Code

The code is provided as a Python package and Jupyter notebooks.

References

  1. Inoue, T., Yamaguchi, S., and Nelson, J. M., 2017.. "The effect of wet-dry weathering on the rate of bedrock river channel erosion by saltating gravel", Geomorphology, 285, 152–161.

  2. Li, K., Ma, L., Li, X., and Peng, S., 2016. "Effect of drying-wetting cycles on triaxial compression mechanical properties of sandstone", Journal of Engineering Science and Technology Review, 9, 66–73.

  3. Stark, C.P., & Stark, G.J., 2022. "The direction of landscape erosion", Earth Surface Dynamics, 10: 383-419.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wmbe-0.1.6.tar.gz (32.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wmbe-0.1.6-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file wmbe-0.1.6.tar.gz.

File metadata

  • Download URL: wmbe-0.1.6.tar.gz
  • Upload date:
  • Size: 32.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for wmbe-0.1.6.tar.gz
Algorithm Hash digest
SHA256 fb5210276cec3a8daa7c5f58db30e9e0fd3b389e692ddbadcdecec8a844e09fe
MD5 3440f1fae7b252d5ed65bbae60867401
BLAKE2b-256 ee93b42bb5d79f8d69bcc8dc068e931190d145b5da87f95de4a3a4361de52826

See more details on using hashes here.

Provenance

The following attestation bundles were made for wmbe-0.1.6.tar.gz:

Publisher: pypi-publish.yml on cstarkjp/WMBE

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file wmbe-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: wmbe-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 33.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for wmbe-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 f58e891a8e53e49ae9f767e5bf02a2a9a55916016c48e9e03d1618b1d6f91f5e
MD5 1d124b5168add8c127346723702f8011
BLAKE2b-256 f8354feff822cf3b2133f7ed6eaad6c94c10b529670a11a5a2b45f3f0418d264

See more details on using hashes here.

Provenance

The following attestation bundles were made for wmbe-0.1.6-py3-none-any.whl:

Publisher: pypi-publish.yml on cstarkjp/WMBE

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page