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Titel |
Ecohydrological modelling of water discharge and nitrate loads in a mesoscale lowland catchment, Germany |
VerfasserIn |
Q. D. Lam, B. Schmalz, N. Fohrer |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7340
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Digitales Dokument |
URL |
Erschienen |
In: Transdisciplinary concepts and modelling strategies for the assessment of complex environmental systems ; Nr. 21 (2009-08-11), S.49-55 |
Datensatznummer |
250014528
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Publikation (Nr.) |
copernicus.org/adgeo-21-49-2009.pdf |
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Zusammenfassung |
The aims of this study are to identify the capacities of applying an
ecohydrological model for simulating flow and to assess the impact of point
and non-point source pollution on nitrate loads in a complex lowland
catchment, which has special hydrological characteristics in comparison with
those of other catchments. The study area Kielstau catchment has a size of
approximately 50 km2 and is located in the North German lowlands. The
water quality is not only influenced by the predominating agricultural land
use in the catchment as cropland and pasture, but also by six municipal
wastewater treatment plants.
Ecohydrological models like the SWAT model (Soil and Water Assessment Tool)
are useful tools for simulating nutrient loads in river
catchments. Diffuse entries from the agriculture resulting from fertilizers
as well as punctual entries from the wastewater treatment plants are
implemented in the model set-up.
The results of this study show good agreement between simulated and measured
daily discharges with a Nash-Sutcliffe efficiency and a correlation
coefficient of 0.76 and 0.88 for the calibration period (November 1998 to
October 2004); 0.75 and 0.92 for the validation period (November 2004 to
December 2007). The model efficiency for daily nitrate loads is 0.64 and 0.5
for the calibration period (June 2005 to May 2007) and the validation period
(June 2007 to December 2007), respectively. The study revealed that SWAT
performed satisfactorily in simulating daily flow and nitrate loads at the
lowland catchment in Northern Germany. |
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