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	Using multiple composite fingerprints to quantify fine sediment source contributions: A new direction
	Zhang, X. C. (John)1; Liu, B. L.2,3
刊名	GEODERMA
	2016-04-15
卷号	268页码:108-118
关键词	Sediment source fingerprinting Tracer selection Composite fingerprints Mixing model Model optimization
ISSN号	0016-7061
DOI	10.1016/j.geoderma.2016.01.031
通讯作者	Zhang, X. C. (John)(john.zhang@ars.usda.gov)
英文摘要	Sediment source fingerprinting provides an essential means for estimating sediment source contributions, which are needed not only for soil conservation planning but also for erosion model evaluation/refinement. A single optimum composite fingerprint has been widely used in the literature to estimate sediment provenance. The objectives of this work are to (1) verify whether an optimum composite fingerprint exists, (2) present a new direction of using multiple composite fingerprints to improve the accuracy and reliability of source contribution estimation, and (3) evaluate the optimization model formulation and the validity of the tracer discriminatory weighting. This study shows that tracer selection greatly impacts the estimated source contributions. The optimum composite fingerprint may not exist, or at least cannot be identified simply based on ability of the tracer to discriminate sources because of the lack of correlation between ability of the tracer to discriminate and its rigor in estimating source contributions. The weak link is likely caused by (1) tracer conflicts, (2) differential tracer measurement errors, and (3) varying degree of the conservativeness of each tracer or lack of it. To overcome this shortcoming, a new approach of using multiple composite fingerprints was proposed. Contrary to the popular tracer reduction strategies, this new approach uses a maximum number of composite fingerprints, which contain non-contradictory tracers in each composite, to maximize the use of all tracer information. The new approach assumes that source proportions averaged over multiple composite fingerprints are more likely to be closer to the population means than any estimate using a single fingerprint alone. Such a 'mean of the means' approach has been shown to not only improve the accuracy but also reduce the uncertainty of the proportion estimates. The model of the absolute relative difference performed slightly better than the squared relative difference model in estimating source contributions, suggesting the former be preferred. The results also indicated that the tracer discriminatory weighting should be excluded as it tends to bias contribution estimates. Published by Elsevier B.V.
收录类别	SCI
WOS关键词	SUSPENDED SEDIMENT ; RIVER-BASINS ; UK ; CATCHMENTS ; AUSTRALIA ; TRACERS ; PB-210
WOS研究方向	Agriculture
WOS类目	Soil Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000371369600013
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2557363
专题	寒区旱区环境与工程研究所
通讯作者	Zhang, X. C. (John)
作者单位	1.USDA ARS, Grazinglands Res Lab, El Reno, OK USA 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou, Gansu, Peoples R China 3.320 Donggangxi Rd, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Zhang, X. C. ,Liu, B. L.. Using multiple composite fingerprints to quantify fine sediment source contributions: A new direction[J]. GEODERMA,2016,268:108-118.
APA	Zhang, X. C. ,&Liu, B. L..(2016).Using multiple composite fingerprints to quantify fine sediment source contributions: A new direction.GEODERMA,268,108-118.
MLA	Zhang, X. C. ,et al."Using multiple composite fingerprints to quantify fine sediment source contributions: A new direction".GEODERMA 268(2016):108-118.

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