Sensitivity of aeolian modelling to soil particle size data

Poster

Shao, Yaping, Klose, Martina, McTainsh, Grant, Strong, Craig and Butler, Harry. 2014. "Sensitivity of aeolian modelling to soil particle size data." Dong, Zhibao (ed.) 8th International Conference on Aeolian Research (ICAR 2014). Lanzhou, China 21 - 25 Jul 2014 Lubbock, TX. United States.
Paper/Presentation Title

Sensitivity of aeolian modelling to soil particle size data

Presentation TypePoster
AuthorsShao, Yaping (Author), Klose, Martina (Author), McTainsh, Grant (Author), Strong, Craig (Author) and Butler, Harry (Author)
EditorsDong, Zhibao
Journal or Proceedings TitleProceedings of the 8th International Conference on Aeolian Research (ICAR 2014)
Number of Pages1
Year2014
Place of PublicationLubbock, TX. United States
Web Address (URL) of Paperhttp://www.2014icar8.com
Conference/Event8th International Conference on Aeolian Research (ICAR 2014)
International Conference on Aeolian Research
Event Details
8th International Conference on Aeolian Research (ICAR 2014)
Event Date
21 to end of 25 Jul 2014
Event Location
Lanzhou, China
Event Details
International Conference on Aeolian Research
Abstract

The simulation of size-dependent sand transport and dust emission requires particle size distributions (PSDs) of parent soil as input data. However, soil PSDs are difficult to measure and different sample pre-treatment and measurement techniques can give different results which may significantly affect the model estimates of sand/dust fluxes. In large-scale (regional to global) dust models (e.g. GCMs), soils are usually classified according to their hydraulic properties and this classification is not necessarily consistent with soil classifications based on PSD. Over the Australian continent, 29 soil samples have been collected and their PSDs analyzed at high resolution (256 size classes) by Coulter Multisizer.It is found that samples for a given USDA soil texture class (e.g. loam), can have profoundly different PSDs. This suggests that a new soil type classification dedicated for wind-erosion modeling is needed; which reflects the natural particle and aggregate size condition of soils. In this study, we use a wind erosion model to test how uncertainties in PSDs affect the model performance. The range of uncertainties in sand and dust fluxes arising from particle-size uncertainties is quantified.

Keywordsparticle size; dust; airborne soil; modeling
ANZSRC Field of Research 2020410605. Soil physics
370999. Physical geography and environmental geoscience not elsewhere classified
370901. Geomorphology and earth surface processes
Public Notes

© 2014 International Society of Aeolian Research. This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. Poster no.54

Byline AffiliationsUniversity of Cologne, Germany
Griffith University
Australian National University
School of Agricultural, Computational and Environmental Sciences
Institution of OriginUniversity of Southern Queensland
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