The Open UniversitySkip to content
 

Particle lifting at the soil-air interface by atmospheric pressure excursions in dust devils

Balme, M.R. and Hagermann, A. (2006). Particle lifting at the soil-air interface by atmospheric pressure excursions in dust devils. Geophysical Research Letters, 33 L19S01.

Full text available as:
[img]
Preview
PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (316Kb)
DOI (Digital Object Identifier) Link: http://doi.org/10.1029/2006GL026819
Google Scholar: Look up in Google Scholar

Abstract

Dust devils, small-scale convective vortices found on Earth and on Mars, can transfer substantial quantities of dust from the ground into the atmosphere. It has been proposed that the low-pressure region found at the center of dust devil vortices provides a lift (the �?P' effect) that 'sucks up' material from the surface. Two simple models are compared to investigate the physics behind the ?P effect and the relevance of competing processes. The first considers an impermeable bed of particles where lifting is by vertical pressure gradients, the second considers a permeable bed where lifting is by drag forces on the particles as gas is sucked from the bed. Pressure gradient lifting appears to be far more efficient than drag force lifting. We describe conditions that favor lifting by the ?P effect and make qualitative predictions that might be tested in the laboratory, the field, or through observations from Mars Landers.

Item Type: Journal Article
ISSN: 0094-8276
Academic Unit/Department: Science > Physical Sciences
Science
Interdisciplinary Research Centre: Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)
Item ID: 5886
Depositing User: Axel Hagermann
Date Deposited: 15 Nov 2006
Last Modified: 24 Feb 2016 02:58
URI: http://oro.open.ac.uk/id/eprint/5886
Share this page:

Altmetrics

Scopus Citations

► Automated document suggestions from open access sources

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk