 |
| Titel |
Multi-objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm |
| VerfasserIn |
M. Shafii, F. Smedt |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 11 ; Nr. 13, no. 11 (2009-11-12), S.2137-2149 |
| Datensatznummer |
250012053
|
| Publikation (Nr.) |
 copernicus.org/hess-13-2137-2009.pdf |
|
|
|
|
|
| Zusammenfassung |
| A multi-objective genetic algorithm, NSGA-II, is applied
to calibrate a distributed hydrological model (WetSpa) for prediction of
river discharges. The goals of this study include (i) analysis of the
applicability of multi-objective approach for WetSpa calibration instead of
the traditional approach, i.e. the Parameter ESTimator software (PEST), and
(ii) identifiability assessment of model parameters. The objective functions
considered are model efficiency (Nash-Sutcliffe criterion) known to be
biased for high flows, and model efficiency for logarithmic transformed
discharges to emphasize low-flow values. For the multi-objective approach,
Pareto-optimal parameter sets are derived, whereas for the single-objective
formulation, PEST is applied to give optimal parameter sets. The two
approaches are evaluated by applying the WetSpa model to predict daily
discharges in the Hornad River (Slovakia) for a 10 year period (1991–2000).
The results reveal that NSGA-II performs favourably well to locate Pareto
optimal solutions in the parameters search space. Furthermore,
identifiability analysis of the WetSpa model parameters shows that most
parameters are well-identifiable. However, in order to perform an
appropriate model evaluation, more efforts should be focused on improving
calibration concepts and to define robust methods to quantify different
sources of uncertainties involved in the calibration procedure. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|