干旱区生态环境知识资源中心(Arid): Evaluation of five different sediment fingerprinting approaches for estimating sediment source contributions in an arid region

Arid

DOI	10.1016/j.geoderma.2022.116131
	Evaluation of five different sediment fingerprinting approaches for estimating sediment source contributions in an arid region
	Niu, Baicheng; Liu, Benli; Zhang, Xunchang (John); Liu, Fenggui; Zhou, Qiang; Chen, Qiong; Qu, Jianjun; Liu, Bing
通讯作者	Zhang, XC
来源期刊	GEODERMA
ISSN	0016-7061
EISSN	1872-6259
出版年	2022
卷号	427
英文摘要	Fingerprinting methods are widely used to quantify sediment provenance at a watershed scale. However, different fingerprinting methods often yield different estimates for the same watershed. The objectives are to discuss in detail the performance of five fingerprinting approaches, compare the efficiency of various solutions, and investigate the effects of the number of composite fingerprints and the number of tracers in a composite fingerprint on the estimation accuracy. Source samples were collected from three typical geomorphic areas of the Dune, Gobi, and Mountains in the Danghe Reservoir watershed in Northwest China, and sediment samples from the Danghe reservoir. Overall results suggested that a multiple composite fingerprints approach was superior to a single or few composite fingerprints approach. Generally, increasing the number of composite fingerprints tended to improve the estimation accuracy. The preferred methods of solving the mixing model should depend upon the number of composite fingerprints. When the number of composite fingerprints is large, analytical so-lutions, compared to numerical solutions, are preferred as the computation is simple while providing an exact solution and better estimation by eliminating fitting errors. For a single composite fingerprint or only a few composite fingerprints, Monte Carlo (MC) simulation, which can statistically increase sample number, is favored to obtain a reliable estimation. However, for a moderate number of composite fingerprints, direct optimization using average tracer concentrations without MC simulation may be desirable, because it tends to yield similar accuracy to a full MC simulation while avoiding intensive computation. There was no clear relationship between the number of tracers in a composite fingerprint and the estimation accuracy, as the optimal number of tracers is situation dependent. Results also indicate that a composite fingerprint with higher discriminant ability may not necessarily translate to better estimation, as it is also affected by tracers' conservatism and measurement errors.
英文关键词	Sediment fingerprinting methodology Optimal composite fingerprint Multiple composite fingerprints Optimal tracer number Optimal solution Arid region
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000862843600003
WOS关键词	MULTIPLE COMPOSITE FINGERPRINTS ; FINE SEDIMENT ; CATCHMENT ; PROVENANCE ; RESERVOIR ; MODEL ; UNCERTAINTY ; MANAGEMENT
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392922
推荐引用方式 GB/T 7714	Niu, Baicheng,Liu, Benli,Zhang, Xunchang ,et al. Evaluation of five different sediment fingerprinting approaches for estimating sediment source contributions in an arid region[J],2022,427.
APA	Niu, Baicheng.,Liu, Benli.,Zhang, Xunchang .,Liu, Fenggui.,Zhou, Qiang.,...&Liu, Bing.(2022).Evaluation of five different sediment fingerprinting approaches for estimating sediment source contributions in an arid region.GEODERMA,427.
MLA	Niu, Baicheng,et al."Evaluation of five different sediment fingerprinting approaches for estimating sediment source contributions in an arid region".GEODERMA 427(2022).