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Titel |
Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions |
VerfasserIn |
E. Timbe, D. Windhorst, R. Célleri, L. Timbe, P. Crespo, H.-G. Frede, J. Feyen, L. Breuer |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 3 ; Nr. 19, no. 3 (2015-03-02), S.1153-1168 |
Datensatznummer |
250120644
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Publikation (Nr.) |
copernicus.org/hess-19-1153-2015.pdf |
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Zusammenfassung |
Precipitation event samples and weekly based water samples from streams and
soils were collected in a tropical montane cloud forest catchment for 2
years and analyzed for stable water isotopes in order to understand the
effect of sampling frequency in the performance of three lumped-parameter
distribution functions (exponential-piston flow, linear-piston flow and
gamma) which were used to estimate mean transit times of waters.
Precipitation data, used as input function for the models, were aggregated
to daily, weekly, bi-weekly, monthly and bi-monthly sampling resolutions,
while analyzed frequencies for outflows went from weekly to bi-monthly. By
using different scenarios involving diverse sampling frequencies, this study
reveals that the effect of lowering the sampling frequency depends on the
water type. For soil waters, with transit times on the order of few weeks,
there was a clear trend of over predictions. In contrast, the trend for
stream waters, which have a more damped isotopic signal and mean transit
times on the order of 2 to 4 years, was less clear and showed a dependence
on the type of model used. The trade-off to coarse data resolutions could
potentially lead to misleading conclusions on how water actually moves
through the catchment, notwithstanding that these predictions could reach
better fitting efficiencies, fewer uncertainties, errors and biases. For
both water types an optimal sampling frequency seems to be 1 or at most
2 weeks. The results of our analyses provide information for the planning
of future fieldwork in similar Andean or other catchments. |
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