 |
| Titel |
Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments |
| VerfasserIn |
P. A. Garambois, H. Roux, K. Larnier, W. Castaings, D. Dartus |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 6 ; Nr. 17, no. 6 (2013-06-27), S.2305-2322 |
| Datensatznummer |
250018907
|
| Publikation (Nr.) |
 copernicus.org/hess-17-2305-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| This paper presents a detailed analysis of 10 flash flood events in the
Mediterranean region using the distributed hydrological model MARINE.
Characterizing catchment response during flash flood events may provide
new and valuable insight into the dynamics involved for extreme catchment
response and their dependency on physiographic properties and flood
severity. The main objective of this study is to analyze flash-flood-dedicated hydrologic model sensitivity with a new approach in hydrology,
allowing model outputs variance decomposition for temporal patterns of
parameter sensitivity analysis. Such approaches enable ranking of
uncertainty sources for nonlinear and nonmonotonic mappings with a low
computational cost. Hydrologic model and sensitivity analysis are used as
learning tools on a large flash flood dataset. With Nash performances above
0.73 on average for this extended set of 10 validation events, the five
sensitive parameters of MARINE process-oriented distributed model are
analyzed. This contribution shows that soil depth explains more than 80% of
model output variance when most hydrographs are peaking. Moreover, the
lateral subsurface transfer is responsible for 80% of model variance for
some catchment-flood events' hydrographs during slow-declining limbs. The
unexplained variance of model output representing interactions between
parameters reveals to be very low during modeled flood peaks and informs
that model-parsimonious parameterization is appropriate to tackle the
problem of flash floods. Interactions observed after model initialization or
rainfall intensity peaks incite to improve water partition representation
between flow components and initialization itself. This paper gives a
practical framework for application of this method to other models,
landscapes and climatic conditions, potentially helping to improve processes
understanding and representation. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|