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Titel |
Prediction of dissolved reactive phosphorus losses from small agricultural catchments: calibration and validation of a parsimonious model |
VerfasserIn |
C. Hahn, V. Prasuhn, C. Stamm, P. Lazzarotto, M. W. H. Evangelou, R. Schulin |
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 ; 17, no. 10 ; Nr. 17, no. 10 (2013-10-01), S.3679-3693 |
Datensatznummer |
250085939
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Publikation (Nr.) |
copernicus.org/hess-17-3679-2013.pdf |
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Zusammenfassung |
Eutrophication of surface waters due to diffuse phosphorus (P) losses
continues to be a severe water quality problem worldwide, causing the loss
of ecosystem functions of the respective water bodies. Phosphorus in runoff
often originates from a small fraction of a catchment only. Targeting
mitigation measures to these critical source areas (CSAs) is expected to be
most efficient and cost-effective, but requires suitable tools.
Here we investigated the capability of the parsimonious
Rainfall-Runoff-Phosphorus (RRP) model to identify CSAs in grassland-dominated
catchments based on readily available soil and topographic data. After
simultaneous calibration on runoff data from four small hilly catchments on
the Swiss Plateau, the model was validated on a different catchment in the
same region without further calibration. The RRP model adequately simulated
the discharge and dissolved reactive P (DRP) export from the validation
catchment. Sensitivity analysis showed that the model predictions were robust
with respect to the classification of soils into "poorly drained" and
"well drained", based on the available soil map. Comparing spatial
hydrological model predictions with field data from the validation catchment
provided further evidence that the assumptions underlying the model are valid
and that the model adequately accounts for the dominant P export processes in
the target region. Thus, the parsimonious RRP model is a valuable tool that
can be used to determine CSAs. Despite the considerable predictive uncertainty
regarding the spatial extent of CSAs, the RRP can provide guidance for the
implementation of mitigation measures. The model helps to identify those
parts of a catchment where high DRP losses are expected or can be excluded
with high confidence. Legacy P was predicted to be the dominant source for
DRP losses and thus, in combination with hydrologic active areas, a high risk
for water quality. |
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