期刊
AEOLIAN RESEARCH
卷 21, 期 -, 页码 53-60出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.aeolia.2016.03.002
关键词
Gobi; Aeolian sediment transport; Entrainment threshold; Saltation
资金
- STS-HHS Plan Project of Cold and Arid Regions Environmental and Engineering Research Institute, CAS, China
- National Science Foundation of China [41271023, 41401408, 41371102]
- National Science & Technology Pillar Program [2013BAK01B01, 2013BAC07B00]
This paper reports on field studies of aeolian sediment transport over a rough surface-gobi atop the Mogao Grottoes, China, in relation to sediment entrainment, saltation mass flux and transport rate prediction. Wind speeds were measured with five cup anemometers at different heights and sediment entrainment and transport measured with horizontal and vertical sediment traps coupled to weighing sensors, where sediment entrainment and transport were measured synchronously with wind speeds. Four sediment transport events, with a measurement duration ranging between 2.5 and 11 h, were studied. The entrainment threshold determined by the horizontal sediment trap varied between 0.28 and 0.33 m s(-1), and the effect of non-erodible roughness elements-gravels increased the entrainment threshold approximately by 1.8 times compared to a uniform sand surface. Unlike the non-monotone curve shape of sediment flux density profile over gobi measured in wind tunnels, the flux density profile measured in the field showed an exponential form. Aeolian sediment transport over gobi could be predicted by an Owen-type saltation model: q = A rho/gu*(u*(2) - u*(2)(t)), where q is sediment transport rate, A is a soil related dimensionless factor, u* is the friction velocity, u*(t) is the threshold friction velocity, g is the gravitational acceleration, rho is the air density. This study indicates that the sediment flux sampling using horizontal and vertical sediment traps coupled to weighing sensors provides a practical method to determine values for A in this model that can provide good estimates of sediment transport rates in gobi areas. (C) 2016 Elsevier B.V. All rights reserved.
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