کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6426300 1346953 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Review ArticleCharacterizing the sediment bed in terms of resistance to motion: Toward an improved model of saltation thresholds for aeolian transport
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
پیش نمایش صفحه اول مقاله
Review ArticleCharacterizing the sediment bed in terms of resistance to motion: Toward an improved model of saltation thresholds for aeolian transport
چکیده انگلیسی


- We re-characterize the sediment bed for aeolian transport threshold modeling.
- We relate the weight of the characteristic grain to observed threshold shear stress.
- Simplified approach provides improved predictive ability over traditional approach.

Models of aeolian transport thresholds generate a wide range of predictions, and error in threshold modeling leads to uncertainty in predicting aeolian events. This paper proposes a new characterization of the representative grain size for use in prediction of transport thresholds. This characterization is based on the distribution of resistance to motion in the sediment bed. The traditional grain size distribution uses a mean diameter to represent the sediment bed. However, the distribution of inertial forces resisting motion is not linearly proportional to the distribution of grain diameters, so that an arithmetic mean does not adequately represent the distribution of the resisting forces. A simple relation of shear stress to weight force is used to represent the threshold condition. Based on comparison with threshold observations drawn from the literature, the model provides reliable predictions of threshold stress and shear velocity for dry quartz grains over a wide range of grain sizes. Given that the dataset was drawn from studies employing a variety of experimental conditions and techniques, and that these studies spanned a range of nearly eight decades, the model is considered to provide a robust approximation of threshold conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aeolian Research - Volume 19, Part A, December 2015, Pages 123-128
نویسندگان
, ,