A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.

Related tags

Geolocationpythonlandscape-evolution
Overview

License: GPL v2 DOI

r.sim.terrain

A short-term landscape evolution model that simulates topographic change for both steady state and dynamic flow regimes across a range of spatial scales. This free and open source, GIS-based landscape evolution model uses empirical models (RUSLE3D & USPED) for soil erosion at watershed to regional scales and a physics-based model (SIMWE) for shallow overland water flow and soil erosion at subwatershed scales to compute short-term topographic change. This either steady state or dynamic model simulates how overland sediment mass flows reshape topography for a range of hydrologic soil erosion regimes based on topographic, land cover, soil, and rainfall parameters. As demonstrated by a case study for Patterson Branch subwatershed on the Fort Bragg military installation in North Carolina, r.sim.terrain can realistically simulate the development of fine-scale morphological features including ephemeral gullies, rills, and hillslopes. Applications include land management, erosion control, landscape planning, and landscape restoration. It is an add-on module for GRASS GIS.

Elevation before and after a steady state SIMWE simulation of a 120 min event with a rainfall intensity of 50 mm/hr

Installation

  • Launch GRASS GIS
  • Install the stable release using the GRASS Console / Command Line Interface (CLI) with g.extension extension=r.sim.terrain
  • Or install the development release
    using the GRASS Console / Command Line Interface (CLI) with g.extension extension=r.sim.terrain url=github.com/baharmon/landscape_evolution
  • Launch from the CLI with r.sim.terrain --ui

Basic instructions

  • Download and extract the sample dataset
  • Launch GRASS GIS, set the grassdata directory to landscape_evolution_dataset, set the location to nc_spm_evolution, and create a new mapset rusle
  • Install the stable release using the GRASS Console / Command Line Interface (CLI) with g.extension extension=r.sim.terrain
  • Set your region to the study area with 1 meter resolution using the module g.region: g.region region=region res=1
  • Copy elevation_2016 from the PERMANENT mapset to the current mapset with g.copy [email protected],elevation_2016
  • Run r.sim.terrain with the RUSLE model for a 120 min event with a rainfall intensity of 50 mm/hr at a 3 minute interval.
r.sim.terrain -f elevation=elevation_2016 runs=event mode=rusle_mode rain_intensity=50.0 rain_duration=120 rain_interval=3 m=0.4 n=1.3
  • For more detailed instructions see the Tutorial

Documentation

Sample dataset

Clone or download the sample dataset with a time series of lidar-based digital elevation models and orthoimagery for a highly eroded subwatershed of Patterson Branch Creek, Fort Bragg, NC, USA.

Replicability

The results in the paper r.sim.terrain 1.0: a landscape evolution model with dynamic hydrology can be replicated by downloading the sample dataset, launching GRASS GIS in the sample location, installing the add-on module, and then running the Python scripts in the scripts directory. Launch the scripts dynamic_simulations.py and steady_state_simulation.py to run the simulations. Then launch the script render_simulations.py to generate graphics for each simulation.

License

GNU General Public License Version 2

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Comments
  • First release

    First release

    Create first release and then assign a DOI. Release: https://guides.github.com/activities/citable-code/ DOI: https://zenodo.org/account/settings/github/

    enhancement 
    opened by baharmon 0
  • Jupyter Notebook tutorial powered by Docker

    Jupyter Notebook tutorial powered by Docker

    Build Docker image with GRASS GIS and r.sim.terrain. Create tutorials in Jupyter Notebooks using MyBinder. Use GRASS Docker image: https://hub.docker.com/r/neteler/grassgis7/

    enhancement 
    opened by baharmon 0
Releases(v1.2.0)
Owner
Brendan Harmon
Brendan Harmon
GitHub Repository http://baharmon.github.io/landscape_evolution/
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