2015
DOI: 10.1007/s12665-015-4153-9
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Numerical simulation of aerodynamic suspension of particles during wind erosion

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Cited by 5 publications
(4 citation statements)
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“…The surface roughness has been shown to be a key indicator of wind-breaking and sand-fixation effect, and has been used in wind erosion equations (Yang 1996). The surface roughness acts to absorb part of the momentum of the wind which reduces the threshold friction speed and wind erosion (Ashrafi et al 2015). In our study, afforestation also increased the surface roughness significantly.…”
Section: Resultssupporting
confidence: 54%
“…The surface roughness has been shown to be a key indicator of wind-breaking and sand-fixation effect, and has been used in wind erosion equations (Yang 1996). The surface roughness acts to absorb part of the momentum of the wind which reduces the threshold friction speed and wind erosion (Ashrafi et al 2015). In our study, afforestation also increased the surface roughness significantly.…”
Section: Resultssupporting
confidence: 54%
“…In the arid and semi-arid regions, soil particles are susceptible to wind erosion, while vegetation coverage can directly prevent the surface from being eroded. Thus, vegetation is conducive to maintaining soil moisture, increasing surface roughness, blocking sand transport, reducing the turbulence of the wind, and increasing collisions between soil particles and between soil particles and plants, which can effectively lead to an increase in the deposition of soil particles (Bauer et al, 2004;Zobeck and van Pelt, 2006;Ashrafi et al, 2015). Our results showed that with increasing vegetation coverage, the amount of soil eroded by wind decreased sharply, and that the higher the wind speed was, the more efficient the protective effect of vegetation on the soil surface was.…”
Section: Discussionmentioning
confidence: 99%
“…3 e). The latter leads to a worsening of atmospheric horizontal and vertical dispersion, resulting in an accumulation of pollutants in a thin layer above the surface ( Ashrafi et al, 2009 ; Dai et al, 2020 ; Tiwari et al, 2016 ).
Fig.
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Section: Resultsmentioning
confidence: 99%
“…The ventilation coefficient (VC) is a good proxy to understand the accumulation and dispersion efficiency of air pollutants within the PBL ( Ashrafi et al, 2009 ; Dai et al, 2020 ; Tiwari et al, 2016 ). It is defined as the potential volume into which air pollutants are diluted per unit of time and can be calculated as the product of the MLH (vertical dilution of pollutants: m) and the mean wind speed (horizontal ventilation: m s −1 ) ( Dai et al, 2020 ; Tiwari et al, 2016 ): …”
Section: Methodsmentioning
confidence: 99%