 |
| Titel |
Explicit simulations of stream networks to guide hydrological modelling in ungauged basins |
| VerfasserIn |
S. Stoll, M. Weiler |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 14, no. 8 ; Nr. 14, no. 8 (2010-08-04), S.1435-1448 |
| Datensatznummer |
250012391
|
| Publikation (Nr.) |
 copernicus.org/hess-14-1435-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
| Rainfall-runoff modelling in ungauged basins is still one of the greatest
challenges in hydrological research. The lack of discharge data necessitates
the establishment of new innovative approaches to guide hydrological
modelling in ungauged basins. Besides the transfer of calibrated parameters
from similar gauged catchments, the application of distributed data as a
hydrological response in addition to discharge seems to be promising. A new
approach to guide hydrological modelling based on explicit simulation of the
spatial stream network was tested in four different catchments in Germany.
In a first step we used a simplified version of the process-based model
Hill-Vi together with regional climate normals to simulate stream networks.
The calculation of gravity driven lateral subsurface and groundwater flow is
used to identify patterns of stream cells, which were compared to reference
stream networks and their degree of spatial agreement was evaluated.
Significant differences between good and poor simulations could be
distinguished and the corresponding parameter sets relate well with the
hydrogeological properties of the catchments. The optimized parameters were
subsequently used to simulate daily discharge using an observed time series
of precipitation and air temperature. The performance was evaluated against
observed discharge and water balance. This approach shows some promising
results but also some limitations. Although the model's parsimonious model
structure could be further improved regarding discharge recession and
evapotranspiration, the performance was similar to regionalisation methods.
Stream network modelling, which has minimal data requirements, seems to be a
reasonable alternative for model development and parameter evaluation in
ungauged basins. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|