干旱区生态环境知识资源中心(Arid): Diverse sources of aeolian sediment revealed in an arid landscape in southeastern Iran using a modified Bayesian un-mixing model

Arid

DOI	10.1016/j.aeolia.2019.100547
	Diverse sources of aeolian sediment revealed in an arid landscape in southeastern Iran using a modified Bayesian un-mixing model
	Gholami, Hamid 1; Kordestani, Mojtaba Dolat 1; Li, Junran 2; Telfer, Matt W.3; Fathabadi, Aboalhasan 4
通讯作者	Gholami, Hamid ; Telfer, Matt W.
来源期刊	AEOLIAN RESEARCH
ISSN	1875-9637
EISSN	2212-1684
出版年	2019
卷号	41
英文摘要	Identifying and quantifying source contributions of aeolian sediment is critical to mitigate local and regional effects of wind erosion in the arid and semi-arid regions of the world. The purpose of this study is to apply sediment source fingerprinting methods to determine the source contributions of the aeolian sands of a small erg with varied and complex potential sources upwind. A two-stage statistical processes was applied to select optimum composite fingerprints to discriminate the potential sources of the aeolian sands from the Jazmurian plain located in southern Kerman Province, southeastern Iran. A modified Bayesian un-mixing model was applied to quantify uncertainties associated with the source contributions, and the model was evaluated by a mean absolute fit (MAF) method. The results suggest that four geochemical properties (Cr, Co, Ni, and Li) were the optimum fingerprints for solving the modified Bayesian un-mixing model. The results show that there is great diversity in terms of the sources of sand, and that, contrary to expectation, sediments associated with an adjacent large ephemeral lake are the least significant in supplying sediment to the erg. Sand-sheet-derived sands and alluvial sediments dominate the majority of samples, and are likely attributable to relatively short-distance aeolian flux, but substantial contributions from alluvial fans and terraces likely represent longer distance pathways. These results highlight the need to consider sediment provenance on a site-by-site basis. The MAF evaluation showed that the modified Bayesian un-mixing model is an effective method to aid aeolian sediment fingerprinting. This method may be applied to assess aeolian sediment sources in other desert regions with strong aeolian activities.
英文关键词	Sediment fingerprinting Aeolian sediment Modified Bayesian un-mixing model Uncertainty Jazmurian plain Mean absolute fit
类型	Article
语种	英语
国家	Iran ; USA ; England
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000491605300010
WOS关键词	SUSPENDED SEDIMENT ; AGRICULTURAL CATCHMENT ; COMPOSITE FINGERPRINTS ; FLUVIAL SEDIMENT ; SISTAN REGION ; DUST ACTIVITY ; RIVER ; BASIN ; PROVENANCE ; FRAMEWORK
WOS类目	Geography, Physical
WOS研究方向	Physical Geography
EI主题词	2019-12-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311445
作者单位	1.Univ Hormozgan, Dept Nat Resources Engn, Bandar Abbas, Hormozgan, Iran; 2.Univ Tulsa, Dept Geosci, Tulsa, OK 74104 USA; 3.Plymouth Univ, Sch Geog Earth & Environm Sci, Plymouth PL4 8AA, Devon, England; 4.Gonbad Kavous Univ, Dept Range & Watershed Managemen4, Gonbad Kavous, Golestan Provin, Iran
推荐引用方式 GB/T 7714	Gholami, Hamid,Kordestani, Mojtaba Dolat,Li, Junran,et al. Diverse sources of aeolian sediment revealed in an arid landscape in southeastern Iran using a modified Bayesian un-mixing model[J],2019,41.
APA	Gholami, Hamid,Kordestani, Mojtaba Dolat,Li, Junran,Telfer, Matt W.,&Fathabadi, Aboalhasan.(2019).Diverse sources of aeolian sediment revealed in an arid landscape in southeastern Iran using a modified Bayesian un-mixing model.AEOLIAN RESEARCH,41.
MLA	Gholami, Hamid,et al."Diverse sources of aeolian sediment revealed in an arid landscape in southeastern Iran using a modified Bayesian un-mixing model".AEOLIAN RESEARCH 41(2019).