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| Titel |
Bi-criteria evaluation of the MIKE SHE model for a forested watershed on the South Carolina coastal plain |
| VerfasserIn |
Z. Dai, C. Li, C. Trettin, G. Sun, D. Amatya, H. Li |
| 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 ; 14, no. 6 ; Nr. 14, no. 6 (2010-06-24), S.1033-1046 |
| Datensatznummer |
250012341
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| Publikation (Nr.) |
 copernicus.org/hess-14-1033-2010.pdf |
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| Zusammenfassung |
| Hydrological models are important tools for effective management,
conservation and restoration of forested wetlands. The objective of this
study was to test a distributed hydrological model, MIKE SHE, by using
bi-criteria (i.e., two measurable variables, streamflow and water table
depth) to describe the hydrological processes in a forested watershed that
is characteristic of the lower Atlantic Coastal Plain. Simulations were
compared against observations of both streamflow and water table depth
measured on a first-order watershed (WS80) on the Santee Experimental Forest
in South Carolina, USA. Model performance was evaluated using coefficient of
determination (R2) and Nash-Sutcliffe's model efficiency (E). The E and
root mean squared error (RMSE) were chosen as objective functions for
sensitivity analysis of parameters. The model calibration and validation
results demonstrated that the streamflow and water table depth were
sensitive to most of the model input parameters, especially to surface
detention storage, drainage depth, soil hydraulic properties, plant rooting
depth, and surface roughness. Furthermore, the bi-criteria approach used for
distributed model calibration and validation was shown to be better than the
single-criterion in obtaining optimum model input parameters, especially for
those parameters that were only sensitive to some specific conditions. Model
calibration using the bi-criteria approach should be advantageous for
constructing the uncertainty bounds of model inputs to simulate the
hydrology for this type of forested watersheds. R2 varied from
0.60–0.99 for daily and monthly streamflow, and from 0.52–0.91 for daily
water table depth. E changed from 0.53–0.96 for calibration and 0.51–0.98
for validation of daily and monthly streamflow, while E varied from
0.50–0.90 for calibration and 0.66–0.80 for validation of daily water table
depth. This study showed that MIKE SHE could be a good candidate for
simulating streamflow and water table depth in coastal plain watersheds. |
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