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Uncertainty in hydrograph separations based on geochemical mixing models.

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Uncertainty in hydrograph separations based on geochemical mixing models. / Joerin, C.; Beven, Keith J.; Iorgulescu, I. et al.
In: Journal of Hydrology, Vol. 255, No. 1-4, 02.01.2002, p. 90-106.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Joerin, C, Beven, KJ, Iorgulescu, I & Musy, A 2002, 'Uncertainty in hydrograph separations based on geochemical mixing models.', Journal of Hydrology, vol. 255, no. 1-4, pp. 90-106. https://doi.org/10.1016/S0022-1694(01)00509-1

APA

Joerin, C., Beven, K. J., Iorgulescu, I., & Musy, A. (2002). Uncertainty in hydrograph separations based on geochemical mixing models. Journal of Hydrology, 255(1-4), 90-106. https://doi.org/10.1016/S0022-1694(01)00509-1

Vancouver

Joerin C, Beven KJ, Iorgulescu I, Musy A. Uncertainty in hydrograph separations based on geochemical mixing models. Journal of Hydrology. 2002 Jan 2;255(1-4):90-106. doi: 10.1016/S0022-1694(01)00509-1

Author

Joerin, C. ; Beven, Keith J. ; Iorgulescu, I. et al. / Uncertainty in hydrograph separations based on geochemical mixing models. In: Journal of Hydrology. 2002 ; Vol. 255, No. 1-4. pp. 90-106.

Bibtex

@article{be4a1b1f6d62417ba6e22c17e01e6e04,
title = "Uncertainty in hydrograph separations based on geochemical mixing models.",
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 {\textquoteleft}model uncertainty{\textquoteright}, which is affected by model assumptions, and the {\textquoteleft}statistical uncertainty{\textquoteright}, 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.",
keywords = "Hydrograph separation, Mixing model, Chemical tracers, Isotopic tracers, Uncertainty analysis, Haute–Mentue watershed",
author = "C. Joerin and Beven, {Keith J.} and I. Iorgulescu and A. Musy",
year = "2002",
month = jan,
day = "2",
doi = "10.1016/S0022-1694(01)00509-1",
language = "English",
volume = "255",
pages = "90--106",
journal = "Journal of Hydrology",
publisher = "Elsevier Science B.V.",
number = "1-4",

}

RIS

TY - JOUR

T1 - Uncertainty in hydrograph separations based on geochemical mixing models.

AU - Joerin, C.

AU - Beven, Keith J.

AU - Iorgulescu, I.

AU - Musy, A.

PY - 2002/1/2

Y1 - 2002/1/2

N2 - 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.

AB - 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.

KW - Hydrograph separation

KW - Mixing model

KW - Chemical tracers

KW - Isotopic tracers

KW - Uncertainty analysis

KW - Haute–Mentue watershed

U2 - 10.1016/S0022-1694(01)00509-1

DO - 10.1016/S0022-1694(01)00509-1

M3 - Journal article

VL - 255

SP - 90

EP - 106

JO - Journal of Hydrology

JF - Journal of Hydrology

IS - 1-4

ER -