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| Titel |
Assessing the model performance of an integrated hydrological and biogeochemical model for discharge and nitrate load predictions |
| VerfasserIn |
T. Pohlert, L. Breuer, J. A. Huisman, H.-G. Frede |
| 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 ; 11, no. 2 ; Nr. 11, no. 2 (2007-03-22), S.997-1011 |
| Datensatznummer |
250009229
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| Publikation (Nr.) |
 copernicus.org/hess-11-997-2007.pdf |
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| Zusammenfassung |
| In this study, we evaluate the performance of the SWAT-N model, a modified
version of the widely used SWAT version, for discharge and nitrate
predictions at the mesoscale Dill catchment (Germany) for a 5-year period.
The underlying question is, whether the model efficiency is sufficient for
scenario analysis of land-use changes on both water quantity and quality. The
Shuffled Complex Evolution (SCE-UA) algorithm is used to calibrate the model
for daily discharge at the catchments outlet. Model performance is assessed
with a split-sampling as well as a proxy-basin test using recorded
hydrographs of four additional gauges located within the catchment. The
efficiency regarding nitrate load simulation is assessed without further
calibration on a daily, log-daily, weekly, and monthly basis as compared to
observations derived from an intensive sampling campaign conducted at the
catchments outlet. A new approach is employed to test the spatial consistency
of the model, where simulated longitudinal profiles of nitrate concentrations
were compared with observed longitudinal profiles. It is concluded that the
model efficiency of SWAT-N is sufficient for the assessment of scenarios for
daily discharge predictions. SWAT-N can be employed without further
calibration for nitrate load simulations on both a weekly and monthly basis
with an acceptable degree of accuracy. However, the model efficiency for
daily nitrate load is insufficient, which can be attributed to both data
uncertainty (i.e. point-source effluents and actual farming practise) as well
as structural errors. The simulated longitudinal profiles meet the
observations reasonably well, which suggests that the model is spatially
consistent. |
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