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Updated: Feb 11, 2026

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Cooling Rate Dependent Ellipsometry Measurements to Determine the Dynamics of Thin Glassy Films
Published on: January 26, 2016
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Glassy dynamics of landscape evolution.
Behrooz Ferdowsi1,2, Carlos P Ortiz1,3, Douglas J Jerolmack4
1Department of Earth and Environmental Science, University of Pennsylvania, Philadelphia, PA 19104.
Summary
Soil transport on hillsides ranges from slow creep to catastrophic landslides. A new model reveals this behavior stems from granular friction, unifying models for landscape evolution and hazard prediction.
Area of Science:
- Geosciences
- Geomorphology
- Soil Mechanics
Background:
- Hillslope soil transport encompasses gradual creep and sudden landslides, posing significant hazards and shaping landscapes.
- Current models lack a unified framework to explain the full spectrum of soil transport behaviors.
- Understanding granular origins is crucial for predicting landscape evolution and geohazards.
Purpose of the Study:
- To develop a unified model for hillslope soil transport, from creep to landslides.
- To investigate the granular dynamics governing soil movement on slopes.
- To connect micro-scale particle friction to macro-scale landscape evolution.
Main Methods:
- Utilized discrete element method (DEM) simulations to model granular soil behavior.
- Analyzed field measurements from natural landscapes to validate simulation results.
- Developed a two-phase flux equation based on grain-scale friction.
Main Results:
- Identified a critical gradient below which soil creeps, with velocity exponentially increasing with friction.
- Observed a continuous transition to dense-granular flow rheology at the critical gradient.
- Demonstrated that slow earthflows and landslides exhibit glassy dynamics, consistent with disordered materials.
- Validated a new glassy model using natural hillslope topographic profiles.
Conclusions:
- A unified model based on granular friction explains hillslope soil transport across different scales.
- The proposed glassy dynamics model accurately reproduces natural hillslope profiles.
- This model offers a promising approach for predicting long-term hillslope evolution and geohazards.
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