Title: | Integrating heterogeneous landscape characteristics into watershed scale modelling |
Authors: | Julich, S., L. Breuer and H.-G. Frede |
Year: | 2012 |
Journal: | Advances in Geosciences |
Volume (Issue): | 31 |
Pages: | 31-38 |
Article ID: | |
DOI: | 10.5194/adgeo-31-31-2012 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic and pollutant |
Primary Application Category: | soil data resolution effects |
Secondary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
Watershed Description: | 514 km^2 Wetter River, located in east central Germany. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Abstract: | Two versions of the SWAT-model with different
dominating runoff generation processes have been applied.
One version comprises the original available SWAT version
where only the basic input data are used. In the second version
SWAT has been modified, by the integration of an impermeable
layer at the subbasin level, in order to better reflect
the boundary between soil and bedrock that results in
increased lateral flow in low mountain ranges. As well, since
conventional German soil maps do not describe soil horizons
beyond 2m depth, we also added a 4m fixed depth in the
lowland areas in order to reflect the deep loess deposits in
this region. The decision for the location of the impermeable
and the additional loess layer was based on a GIS analysis of
additional geologic information.
This study revealed that both model versions produced
acceptable and comparable results regarding the evaluated
goodness of fit measures. The GLUE analysis showed that
the SWAT model set up with additional information about
the distribution of impervious soil layers and the loess depth
in the lowlands produced the highest simulation quality and
the lowest uncertainty. Moreover, SWAT II version was able
to better represent the spatial extend of the dominating runoff
processes best. This leads to the conclusion that the SWAT II
version is better suited for scenario analysis than the original
model version. |
Language: | English |
Keywords: | |