A simple expression for wind erosion threshold friction velocity

By Yaping Shao, Hua Lu. 2000

711 citations recorded by the source corpus.

Subfields: Computational Mechanics, Earth-Surface Processes, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/8ea19a117b7e308572934bddfb521fe0d5f36230

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In Computational Mechanics

In Earth-Surface Processes

In Ocean Engineering

Citations in the corpus

Redistribution of particles across the nucleus of comet 67P/Churyumov-Gerasimenko (2015, methodology): “The concept of cometary “saltation” in its simplest form probably needs cohesive forces to be closer to the Shao & Lu (2000) description to be feasible.”
On the contribution of natural Aeolian sources to particulate matter concentrations in Europe: Testing hypotheses with a modelling approach (2005, background): “Iversen and White (1982) and Shao and Lu (2000) have proposed formulations linking the threshold velocity to the soil particle distribution.”
The Lagrangian particle dispersion model FLEXPART version 10.4 (2017, methodology): “We thereby assume that sandblasting occurs in the case that sand is present and a minimum threshold based on the size-dependent threshold friction velocity following Shao and Lu (2000) can be applied.”
The Physics of Sediment Transport Initiation, Cessation, and Entrainment Across Aeolian and Fluvial Environments (2020, methodology): “First, for wind-driven transport, the most widely used incipient motion models [Iversen and White, 1982; Shao and Lu, 2000], when applied to Martian atmospheric conditions, predict threshold shear stresses for fine sand particles that are so large that transport should occur only during rare strong…”
An improved dust emission model – Part 1: Model description and comparison against measurements (2014, methodology): “A further limitation of our theory is that it simplifies the energetics of dust emission by considering u∗st the prime determinant of soil erodibility (Shao and Lu, 2000).”
The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1 (2019, methodology): “As we will note in documenting code discrepancies below, γc is set to 1.65× 10−4 kg s−2 in the code (a value of γc also adopted by Zhao et al., 2006; Park et al., 2007; Darmenova et al., 2009), while it is specified as 3.0×10−4 kg s−2 in Shao and Lu (2000).”
The physics of wind-blown loess: Implications for grain size proxy interpretations in Quaternary paleoclimate studies (2016, background): “…forces (Cornelis et al., 2004a,b) (N m−1) ACo3 geometry factor (Cornelis et al., 2004a) (N−1 m−1) AN dimensionless threshold friction velocity (Shao and Lu, 2000) br width of an individual roughness element (m) ca heat capacity of air (m2 s−2 K−1/J kg−1 K−1) C1 coefficient in the Ferguson…”
Spatial grain size sorting in eolian ripples and estimation of wind conditions on planetary surfaces: Application to Meridiani Planum, Mars (2006, background): “Cohesion between grains, due to electrostatic forces, moisture content and other effects, becomes significant when particle surface area is large compared to particle volume (i.e., for small grains) [Iversen and White, 1982; Shao and Lu, 2000; Cornelis and Gabriels, 2004].”
A comprehensive numerical model of steady state saltation (COMSALT) (2009, background): “5 mm [Greeley and Iversen, 1985], are not normally lifted by wind because their cohesive forces are large compared to the forces due to wind stress [Shao and Lu, 2000; Kok and Renno, 2006].”