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Titel |
Application of a distributed physically-based hydrological model to a medium size catchment |
VerfasserIn |
L. Feyen, R. Vázquez, K. Christiaens, O. Sels, J. Feyen |
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 ; 4, no. 1 ; Nr. 4, no. 1, S.47-63 |
Datensatznummer |
250001518
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Publikation (Nr.) |
copernicus.org/hess-4-47-2000.pdf |
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Zusammenfassung |
Physically based distributed models are
rarely calibrated and validated thoroughly because of lack of data. In practice,
validation is limited to comparison of simulated and predicted discharges in a
catchment, or of simulated and observed piezometric levels in some calibrated
wells. Rarely, internal noncalibrated wells or discharge stations are included
in model evaluation. In this study, the fully distributed physically based MIKE
SHE model was applied to the 600-km2 catchment of the Grote and the
Kleine Gete, Belgium. Firstly, the MIKE SHE model was calibrated against both
daily discharge measurements and observed water levels and then validated using
a simple split-sample test. The observed discharges were simulated successfully
in both the calibration and the validation period, while results for the
piezometric levels differed considerably among the wells. In addition, a
multi-site validation test for 2 internal discharge stations and 6 observation
wells showed inferior results for the discharge stations and comparable results
for the water table wells. As in the calibration and the split-sample test
validation, water table fluctuations were predicted well in some wells, but with
little agreement in others. This may be due to scale effects and to the poor
quality of the data in certain areas of the catchment. Mainly, the lack of data
made it difficult to simulate time series of internal catchment variables with
acceptable accuracy so that even the calibrated and validated model could not
provide reliable predictions of the water table over the entire catchment.
Keywords: integral hydrological modelling; distributed code;
MIKE-SHE; model performance; model calibration; model validation |
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