globalchange  > 气候变化与战略
DOI: 10.5194/hess-23-5059-2019
论文题名:
Technical note: Uncertainty in multi-source partitioning using large tracer data sets
作者: Correa A.; Ochoa-Tocachi D.; Birkel C.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期:12
起始页码: 5059
结束页码: 5068
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
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162834
Appears in Collections:气候变化与战略

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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

Recommended Citation:
Correa A.,Ochoa-Tocachi D.,Birkel C.. Technical note: Uncertainty in multi-source partitioning using large tracer data sets[J]. Hydrology and Earth System Sciences,2019-01-01,23(12)
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