HR: 0830h
AN: H51B-05 [Abstracts]
TI: A simulation approach for investigating the hydrologic signature on the probability distribution of floods
AU: * Fiorentino, M
EM: fiorentino@unibas.it
AF: Department of Environmental Engineering and Physic - University of Basilicata, via dell'Ateneo Lucano
10, Potenza, 85100 Italy
AU: Iacobellis, V
EM: v.iacobellis@poliba.it
AF: Department of Water Engineering and Chemistry - Polytechnic of Bari, via E.Orabona 4, Bari, 70125 Italy
AU: Manfreda, S
EM: manfreda@unibas.it
AF: Department of Environmental Engineering and Physic - University of Basilicata, via dell'Ateneo Lucano
10, Potenza, 85100 Italy
AU: Manfreda, S
EM: manfreda@unibas.it
AF: Department of Civil and Environmental Engineering - Princeton University, E-Quad, Princeton, NJ 08540 United States
AB:
In the framework of flood prediction, theoretically derived distributions represent a promising tool that still posses the
capability for greater development. Nevertheless, a wider investigation on the main control of hydrological processes acting
at the basin scale is needed, but at the same time extremely complex to be assessed using experimental approaches. The only
way is probably the hydrological simulations via distributed models. With this aim, a continuous simulation scheme is
developed to reproduce the basin behavior through the time. The scheme uses a distributed hydrological model (DREAM) in
cascade with a rainfall generator (IRP) reproducing in a consistent way the flood peak CDFs (Cumulative Distribution
Functions). The numerical simulation allows the reconstruction of large number of extreme events and the derivation of
interesting evidence on the main control for flood generation mechanisms highlighting the relevance of soil texture and
morphology different climatic environments. The proposed methodology has been applied to the Agri and the Bradano, in the
region of Basilicata, Italy.
DE: 1821 Floods
DE: 1860 Runoff and streamflow
DE: 1869 Stochastic processes
SC: Hydrology [H]
MN: 2005 Joint Assembly