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| Titel |
Regionalization of meso-scale physically based nitrogen modeling outputs to the macro-scale by the use of regression trees |
| VerfasserIn |
A. Künne, M. Fink, H. Kipka, P. Krause, W.-A. Flügel |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Proceedings of the 14th Workshop on Large-scale Hydrological Modelling ; Nr. 31 (2012-06-19), S.15-21 |
| Datensatznummer |
250017305
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| Publikation (Nr.) |
 copernicus.org/adgeo-31-15-2012.pdf |
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| Zusammenfassung |
In this paper, a method is presented to estimate excess nitrogen on large
scales considering single field processes. The approach was implemented by
using the physically based model J2000-S to simulate the nitrogen balance as
well as the hydrological dynamics within meso-scale test catchments. The
model input data, the parameterization, the results and a detailed system
understanding were used to generate the regression tree models with GUIDE
(Loh, 2002). For each landscape type in the federal state of Thuringia a
regression tree was calibrated and validated using the model data and
results of excess nitrogen from the test catchments. Hydrological parameters
such as precipitation and evapotranspiration were also used to predict
excess nitrogen by the regression tree model. Hence they had to be
calculated and regionalized as well for the state of Thuringia. Here the
model J2000g was used to simulate the water balance on the macro scale. With
the regression trees the excess nitrogen was regionalized for each landscape
type of Thuringia. The approach allows calculating the potential nitrogen
input into the streams of the drainage area. The results show that the
applied methodology was able to transfer the detailed model results of the
meso-scale catchments to the entire state of Thuringia by low computing time
without losing the detailed knowledge from the nitrogen transport modeling.
This was validated with modeling results from Fink (2004) in a catchment
lying in the regionalization area. The regionalized and modeled excess
nitrogen correspond with 94%.
The study was conducted within the framework of a project in collaboration
with the Thuringian Environmental Ministry, whose overall aim was to assess
the effect of agro-environmental measures regarding load reduction in the
water bodies of Thuringia to fulfill the requirements of the European Water
Framework Directive (Bäse et al., 2007; Fink, 2006; Fink et al., 2007). |
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