首页|Sand particle lift-off velocity measurements and numerical simulation of mass flux distributions in a wind tunnel

Sand particle lift-off velocity measurements and numerical simulation of mass flux distributions in a wind tunnel

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Lift-off velocity of saltating sand particles in wind-blown sand located at 1.0 mm above the sand bed surface was measured using a phase Doppler particle analyzer in a wind tunnel.The results show that the probability distribution of lift-off velocity can be expressed as a lognormal function,while that of lift-off angle follows an exponential function.The probability distribution of lift-off angle conditioned for each lift-off velocity also follows an exponential function,with a slope that becomes steeper with increasing lift-off velocity.This implies that the probability distribution of lift-off velocity is strongly dependent on the lift-off angle.However,these lift-off parameters are generally treated as an independent joint probability distribution in the literature.Numerical simulations were carried out to investigate the effects of conditional versus independent joint probability distributions on the vertical sand mass flux distribution.The simulation results derived from the conditional joint probability distribution agree much better with experimental data than those from the independent ones.Thus,it is better to describe the lift-off velocity of saltating sand particles using the conditional joint probability distribution.These results improve our understanding of saltation processes in wind-blown sand.

lift-off velocitylift-off anglejoint probability distributionsand mass fluxsaltation

XIAO Fengjun、DONG Zhibao、GUO Liejin、WANG Yueshe、LI Debiao

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National Demonstration Center for Experimental Geography Education,College of Tourism and Environment,Shaanxi Normal University,Xi'an 710119,China

State Key Laboratory of Multiphase Flow in Power Engineering,Xi'an Jiaotong University,Xi'an 710049,China

Xi'an Special Equipment Inspection Institute,Xi'an 710065,China

This work was supported by the Fundamental Research Funds for the Central Universities of ChinaNational Natural Science Foundation of China

GK20150305341601002

2017

10.1007/s40333-017-0096-1

干旱区科学
中国科学院新疆生态与地理研究所,科学出版社

干旱区科学

CSTPCDCSCDSCI
影响因子：1.743
ISSN：1674-6767
年,卷(期)：2017.9(3)
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