干旱区生态环境知识资源中心(Arid): An improved model to estimate annual sand transport rate by sand-driving winds

Arid

DOI	10.1016/j.catena.2020.104945
	An improved model to estimate annual sand transport rate by sand-driving winds
	Xiao, Nan; Dong, Zhibao; Wang, Jiaqi; Liu, Zhengyao; Tuo, Yu; Feng, Miaoyan; Zhu, Chunming
通讯作者	Xiao, N ; Dong, ZB (corresponding author), Shaanxi Normal Univ, Sch Geog & Tourism, 620 West Changan Ave, Xian 710119, Peoples R China.
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2021
卷号	197
英文摘要	Some of the surface on Earth, Mars, Venus, and Titan is covered by ripples, dunes, and other features formed by sand-driving winds. Many developing countries in arid and semiarid areas are caught in a dilemma between the threat of sandy desertification and the development of wind energy. The estimation for the probability of sand-driving winds has been rarely studied. The ability of two-parameter Weibull probability distribution to estimate sand-driving winds is questioned. Sand transport rate is used only for the evaluation of short-term aeolian activities. Drift potential (DP) is an accessible way of evaluating potential sand transport volume by sand-driving winds. However, the relationship among annual sand transport volume, DP and wind energy has been rarely studied. Sand-driving winds can be divided into gentle winds and strong winds, but it is hard to distinguish them and to quantify their effects on aeolian geomorphology. A function was constructed from expressions of sand transport rate and the two-parameter Weibull probability distribution to improve the estimation of sand-driving winds. On this basis, annual sand transport volume was accurately evaluated by sand-driving winds. This is applicable to arid and semiarid areas worldwide. The relationship among annual sand transport volume, DP and wind energy was analyzed from the perspective of dimensional analysis. Gentle winds and strong winds are distinguished by transport wind velocity at which aeolian activities on a sandy underlying surface reach the erosion-deposition balance, and which corresponds to annual maximum sand transport rate. On a sandy underlying surface strong winds control deposition, while gentle winds dominate wind erosion. The transport wind velocity is nearly constant, weakly related to the probability distribution of sand-driving winds. These results provide a basis for an improved understanding of aeolian activities as an important planetary surface process, sand control engineering, and wind energy development.
英文关键词	Sand transport rate Sand-driving winds Drift potential Weibull probability distribution The Badain Jaran Sand Sea
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000597208600004
WOS关键词	POWER-GENERATION ; DESERTIFICATION ; DUNES ; SPEED ; PARTICLES ; PLATEAU
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347776
作者单位	[Xiao, Nan; Dong, Zhibao; Liu, Zhengyao; Tuo, Yu; Feng, Miaoyan; Zhu, Chunming] Shaanxi Normal Univ, Sch Geog & Tourism, 620 West Changan Ave, Xian 710119, Peoples R China; [Wang, Jiaqi] Inner Mongolia Extra High Voltage Power Supply Bu, Jinchuan Econ Tech Dev Zone, 2 Huijin Rd, Hohhot 010050, Peoples R China; [Liu, Zhengyao] Shaanxi Inst Geoenvironm Monitoring, 100 Yanta North Rd, Xian 710054, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Nan,Dong, Zhibao,Wang, Jiaqi,et al. An improved model to estimate annual sand transport rate by sand-driving winds[J],2021,197.
APA	Xiao, Nan.,Dong, Zhibao.,Wang, Jiaqi.,Liu, Zhengyao.,Tuo, Yu.,...&Zhu, Chunming.(2021).An improved model to estimate annual sand transport rate by sand-driving winds.CATENA,197.
MLA	Xiao, Nan,et al."An improved model to estimate annual sand transport rate by sand-driving winds".CATENA 197(2021).