Saltation of cohesive granular materials

DOI

The wind-driven saltation of sand and snow shapes dunes and ripples, generates dust emission, and erodes the surface of the Antarctic ice sheet. Here, we use a model based on the discrete element method to simulate grain-flow interactions and study the effect of particle cohesion on saltation dynamics.

The data contains the model output of granular splash simulations and saltation simulations. Granular splash, the main particle entrainment process in saltation, occurs upon impact of saltating particles with the granular bed. We performed Monte Carlo simulations of granular splash for loose sand grains and for cohesive ice grains. The analysis indicate that different values of cohesion have significant effects not on the number of splashed grains, on the ejection velocity, and the rebound velocity.

In our saltation simulations, we trigger particle movement with a single splash event at the inlet section section and let the system evolve until steady state. Our results show that saltation over cohesive surfaces is difficult to initiate but easy to sustain at low wind speed. The occurrence of transport thus depends on the history of the wind speed, a phenomenon known as hysteresis. We also show that saltation over cohesive surfaces presents higher mass fluxes but requires longer distances to saturate, which increases the size of the smallest stable surface ripples. Our model results have implications for large-scale aeolian processes on Earth and Titan, where sand grains are thought to be very cohesive.

Identifier
DOI https://doi.org/10.16904/envidat.60
Metadata Access https://www.envidat.ch/api/action/package_show?id=090e06d9-56ed-4d16-8f9b-a3076e94ef2a
Provenance
Creator Francesco, Comola, 0000-0002-3867-732X; Johan, Gaume,; Jasper F., Kok,; Michael, Lehning,
Publisher EnviDat
Publication Year 2019
Funding Reference Funding information not available.,
Rights odc-odbl; ODbL with Database Contents License (DbCL)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Language English
Resource Type Dataset
Version 1.0
Discipline Environmental Sciences
Spatial Coverage (5.956W, 45.818S, 10.492E, 47.808N); Switzerland
Temporal Coverage Begin 2017-07-01T00:00:00Z
Temporal Coverage End 2019-01-24T00:00:00Z