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

A model for predicting aeolian sand drift and dust entrainment on scales from paddock to region
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DOI:
10.1071/sr9960309
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发表时间:
1996
期刊:
影响因子:
1.6
通讯作者:
Y. Shao;Raupach;J. Leys
Y. Shao;Raupach;J. Leys
中科院分区:
农林科学4区
文献类型:
--
作者:
Y. Shao;Raupach;J. Leys

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本文介绍了一种用于估算农业地区风沙漂移和扬尘的风蚀评估模型。该模型的沙粒漂移和尘埃夹带部分都是基于物理的,利用了已建立的和最近的理论和实验结果的组合。该模型的关键部分包括:跃迁通量的欧文方程;观测和理论预测的跃迁通量与沙尘卷吸之间的比例关系;关于非侵蚀粗糙度改善风蚀的理论和实验结果;以及关于地表水分抑制侵蚀的新的实验结果。土壤表面颗粒的尺寸分布(在其自然状态下)被用作主要参数。该模型仅限于描述沙尘在侵蚀源区的迁移,并明确排除了两组相关过程的处理:粉尘从源区的输送及其最终沉积;以及地表性质的演变,由风蚀过程本身、其他风化过程或管理干预。模型的结果与便携式风蚀风洞的数据以及围场尺度的直接风蚀测量结果进行了比较。通过提供关于沙粒漂移和扬尘的现有物理知识的综合,该模型还指出了不确定的关键领域。
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.