A model for predicting aeolian sand drift and dust entrainment on scales from paddock to region

Author:

Shao YP,Raupach MR,Leys JF

Abstract

This paper describes a Wind Erosion Assessment Model (WEAM) for the estimation of sand drift and dust entrainment in agricultural areas. Both the sand drift and dust entrainment parts of the model are physically based, utilising a combination of established and recent theoretical and experimental results. Key components of the model include the Owen equation for the saltation flux; the observed and theoretically predicted proportionality between saltation flux and dust entrainment by saltation bombardment; theoretical and experimental results on the amelioration of wind erosion by nonerodible roughness; and new experimental results on the suppression of erosion by surface moisture. The size distribution of the particles on the soil surface (in their natural state) is used as a primary parameter. The model is restricted to a description of the mobilisation of sand and dust in erosion source areas, and specifically excludes treatment of 2 groups of related processes: dust transport away from source areas and its ultimate deposition; and evolution of surface properties, by the wind erosion process itself, by other weathering processes, or by management intervention. The results of the model are compared with data from a portable wind erosion tunnel, and with direct wind erosion measurements at paddock scale. By offering a synthesis of available physical knowledge of sand drift and dust entrainment, the model also indicates key areas of uncertainty.

Publisher

CSIRO Publishing

Subject

Earth-Surface Processes,Soil Science,Environmental Science (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3