Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.5194/hess-17-3159-2013 |
| Titel (primär) | Application of a model-based rainfall-runoff database as efficient tool for flood risk management |
| Autor | Brocca, L.; Liersch, S.; Melone, F.; Moramarco, T.; Volk, M. |
| Quelle | Hydrology and Earth System Sciences |
| Erscheinungsjahr | 2013 |
| Department | CLE |
| Band/Volume | 17 |
| Seite von | 3159 |
| Seite bis | 3169 |
| Sprache | englisch |
| UFZ Querschnittsthemen | RU1 |
| Abstract | 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. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=13909 |
| Brocca, L., Liersch, S., Melone, F., Moramarco, T., Volk, M. (2013): Application of a model-based rainfall-runoff database as efficient tool for flood risk management Hydrol. Earth Syst. Sci. 17 , 3159 - 3169 10.5194/hess-17-3159-2013 |
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