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This is an ESPIn Repository for the ESPIn 2024 team project:

Fluvial Sedimentary Response to Large Deep-Seated Landslide Event(s)

Contributors (listed in the alphabetic order of last name):

  • Nilay Iscen (University of Minnesota, St. Anthony Falls Laboratory)
  • John Kemper (Utah State University, Department of Watershed Sciences)
  • Larry Syu-Heng Lai (University of Washington, Department of Earth and Space Sciences)
  • Yuan Li (University of Virginia, Department of Environmental Sciences)

Directory Structure

Main

  • Contains the latest main project files
  • Jupyter notebooks:
    • ESPIn2024_EventSediment_v4.ipynb: Working codes
    • ESPIn2024_EventSediment_v5.ipynb: Optimized for creating animation
  • Images used in the markdowns:
    • connectivity_img.jpg
    • MotivationImg.jpg
    • shiaolinTWslide.jpg
  • Resulted GIF animations
    • good_connectivity_animation.gif: Simlated result on a synthetic landscape (Good Connectivity Scenario)
    • bad_connectivity_animation.gif: Simlated result on a synthetic landscape (Bad Connectivity Scenario)
    • real_landscape_animation.gif: Simlated result on a real landscape (Bad Connectivity Scenario)
  • Pickle files for various DEM
    • pre-slide_fakelandscape.pickle: generated fake landscape DEM
    • pre-slide_reallandscape.pickle: imported real landscape DEM
    • post-slide_reallandscape_BRL.pickle: real landscape DEM with arbituray landslides

good_connectivity_frames

  • Contains image frames for good-connectivity scenario using a syntheic landscape

bad_connectivity_frames

  • Contains image frames for bad-connectivity scenario using a syntheic landscape

real_landscape_frames

  • Contains image frames for bad-connectivity scenario using a real landscape

older_notebooks

  • Contains main project files (version 3) created during ESPIn 2024
  • early_drafts
    • Contains early project drafts of incomplete materials
  • Jupyter notebook: ESPIn2024_EventSediment_v3.ipynb
  • Multiple pickle files for different landscape models and scenarios

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