 |
| Titel |
Application of a model-based rainfall-runoff database as efficient tool for flood risk management |
| VerfasserIn |
L. Brocca, S. Liersch, F. Melone, T. Moramarco, M. Volk |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 8 ; Nr. 17, no. 8 (2013-08-06), S.3159-3169 |
| Datensatznummer |
250085907
|
| Publikation (Nr.) |
 copernicus.org/hess-17-3159-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| A framework for a comprehensive synthetic rainfall-runoff database was
developed to study catchment response to a variety of rainfall events. The
framework supports effective flood risk assessment and management and
implements simple approaches. It consists of three flexible components, a
rainfall generator, a continuous rainfall-runoff model, and a database
management system. The system was developed and tested at two gauged river
sections along the upper Tiber River (central Italy). One of the main
questions was to investigate how simple such approaches can be applied without
impairing the quality of the results. The rainfall-runoff model was used to
simulate runoff on the basis of a large number of rainfall events. The
resulting rainfall-runoff database stores pre-simulated events classified on
the basis of the rainfall amount, initial wetness conditions and initial
discharge. The real-time operational forecasts follow an analogue method that
does not need new model simulations. However, the forecasts are based on the
simulation results available in the rainfall-runoff database (for the
specific class to which the forecast belongs). Therefore, the database can be
used as an effective tool to assess possible streamflow scenarios assuming
different rainfall volumes for the following days. The application to the
study site shows that magnitudes of real flood events were appropriately
captured by the database. Further work should be dedicated to introduce a
component for taking account of the actual temporal distribution of rainfall
events into the stochastic rainfall generator and to the use of different
rainfall-runoff models to enhance the usability of the proposed procedure. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|