气候变化领域集成服务门户(CCPortal): Technical note: Uncertainty in multi-source partitioning using large tracer data sets

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DOI	10.5194/hess-23-5059-2019
	Technical note: Uncertainty in multi-source partitioning using large tracer data sets
	Correa A.; Ochoa-Tocachi D.; Birkel C.
发表日期	2019
ISSN	1027-5606
起始页码	5059
结束页码	5068
卷号	23 期号:12
英文摘要	The availability of large tracer data sets opened up the opportunity to investigate multiple source contributions to a mixture. However, the source contributions may be uncertain and, apart from Bayesian approaches, to date there are only solid methods to estimate such uncertainties for two and three sources. We introduce an alternative uncertainty estimation method for four sources based on multiple tracers as input data. Taylor series approximation is used to solve the set of linear mass balance equations. We illustrate the method to compute individual uncertainties in the calculation of source contributions to a mixture, with an example from hydrology, using a 14-tracer set from water sources and streamflow from a tropical, high-elevation catchment. Moreover, this method has the potential to be generalized to any number of tracers across a range of disciplines. © 2019 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	Bayesian networks; Catchments; Mixtures; Bayesian approaches; High elevation; Individual uncertainties; Multiple source; Source contributions; Taylor series approximation; Technical notes; Uncertainty estimation; Uncertainty analysis; Bayesian analysis; catchment; estimation method; mass balance; streamflow; tracer; uncertainty analysis
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159544
作者单位	Correa, A., Department of Geography and Water and Global Change Observatory, University of Costa Rica, San José, 2060, Costa Rica, Institute for Applied Sustainability Research (ISUR), Quito, 170503, Ecuador; Ochoa-Tocachi, D., Department of Mathematics, Universidad San Francisco de Quito, Quito, 170901, Ecuador; Birkel, C., Department of Geography and Water and Global Change Observatory, University of Costa Rica, San José, 2060, Costa Rica, Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, United Kingdom
推荐引用方式 GB/T 7714	Correa A.,Ochoa-Tocachi D.,Birkel C.. Technical note: Uncertainty in multi-source partitioning using large tracer data sets[J],2019,23(12).
APA	Correa A.,Ochoa-Tocachi D.,&Birkel C..(2019).Technical note: Uncertainty in multi-source partitioning using large tracer data sets.Hydrology and Earth System Sciences,23(12).
MLA	Correa A.,et al."Technical note: Uncertainty in multi-source partitioning using large tracer data sets".Hydrology and Earth System Sciences 23.12(2019).