A soil mechanics model to determine the onset of wind erosion

被引:1
|
作者
Zambrano-Cruzatty, Luis [1 ]
Yerro, Alba [2 ]
Charbonneau, Bianca R. [3 ]
Stark, Nina [4 ]
机构
[1] Univ Maine, Dept Civil & Environm Engn, 5711 Boardman Hall, Orono, ME 04469 USA
[2] Virginia Tech, Dept Civil & Environm Engn, Patton Hall,750 Drillfield Dr, Blacksburg, VA 24060 USA
[3] Univ Penn, Dept Biol, Philadelphia, PA 19104 USA
[4] Univ Florida, Dept Civil & Coastal Engn, Gainesville, FL 32611 USA
关键词
Eolian erosion; Particle entrainment; Moisture content; Slope; Wind tunnel; ROUGHNESS LENGTH; AEOLIAN EROSION; TUNNEL; SLOPE; MOISTURE; VELOCITY; SAND; ENTRAINMENT; TRANSPORT; THRESHOLD;
D O I
10.1016/j.coastaleng.2024.104523
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Determining the friction threshold velocity (FTV) of wind -induced erosion is crucial to understanding and predicting the morphodynamics and management of foreshores and dunes. However, the FTV is influenced by multiple factors, including particle size, mineralogy, surface roughness, and moisture content. Although existing models account for these parameters, they suffer from limited precision, are not generalized and developed for specific sediment types, and rely on expensive and time-consuming testing procedures. Furthermore, no predictive equations for FTV currently consider the combined effects of bed inclination and moisture common to coastal dunes. This study presents a comprehensive closed -form model for predicting the FTV in the onset of wind erosion for different types of sands. The model considers various geometric and material properties, including cohesion, moisture, soil packing, slope, and grain size distribution. A soil water retention curve (SWRC) is incorporated into the formulation to establish a relationship between water content and sediment shear strength. This simple SWRC approach enables simplified calculations of the onset of wind erosion under various conditions, requiring only a few inexpensive inputs. Extensive parametric wind tunnel experiments were conducted to measure the FTV in combinations of bed slope, sand particle size, moisture, and density. The findings indicate that the combined influence of slope and moisture increases the FTV. Furthermore, compared to the FTV for dry sediments on a horizontal bed, the amplification factor exhibits a nonlinear combination of the effects of inclination and moisture. The proposed FTV predictive model demonstrates adequate agreement with published results when applied to scenarios such as dry sand on a horizontal surface, dry sand on an inclined bed, and moist sand on a horizontal surface.
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收藏
页数:17
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