Sensitivity of aeolian modelling to soil particle size data

Shao, Yaping and Klose, Martina and McTainsh, Grant and Strong, Craig and Butler, Harry (2014) Sensitivity of aeolian modelling to soil particle size data. In: 8th International Conference on Aeolian Research (ICAR 2014) , 21-25 Jul 2014, Lanzhou, China.

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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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 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
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 19 Jan 2015 03:04
Last Modified: 14 Feb 2017 06:26
Uncontrolled Keywords: particle size; dust; airborne soil; modeling
Fields of Research : 05 Environmental Sciences > 0503 Soil Sciences > 050305 Soil Physics
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040699 Physical Geography and Environmental Geoscience not elsewhere classified
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040607 Surface Processes
Socio-Economic Objective: D Environment > 96 Environment > 9606 Environmental and Natural Resource Evaluation > 960604 Environmental Management Systems
URI: http://eprints.usq.edu.au/id/eprint/25752

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