Uncertainty in hydrograph separations based on geochemical mixing models.

Joerin, C. and Beven, Keith J. and Iorgulescu, I. and Musy, A. (2002) Uncertainty in hydrograph separations based on geochemical mixing models. Journal of Hydrology, 255 (1-4). pp. 90-106.

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Abstract

A detailed uncertainty analysis of three-component mixing models based on the Haute–Mentue watershed (Switzerland) is presented. Two types of uncertainty are distinguished: the ‘model uncertainty’, which is affected by model assumptions, and the ‘statistical uncertainty’, which is due to temporal and spatial variability of chemical tracer concentrations of components. The statistical uncertainty is studied using a Monte Carlo procedure. The model uncertainty is investigated by the comparison of four different mixing models all based on the same tracers but considering for each component alternative hypotheses about their concentration and their spatio-temporal variability. This analysis indicates that despite the uncertainty, the flow sources, which generate the stream flow are clearly identified at the catchments scale by the application of the mixing model. However, the precision and the coherence of hydrograph separations can be improved by taking into account any available information about the temporal and spatial variability of component chemical concentrations.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Hydrology
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2312
Subjects:
?? hydrograph separationmixing modelchemical tracersisotopic tracersuncertainty analysishaute–mentue watershedwater science and technologyge environmental sciences ??
ID Code:
21469
Deposited By:
Deposited On:
15 Jan 2009 10:01
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 09:56