Calibrazione di modelli idrologici con algoritmi multiobiettivo


Autoria(s): Lombardi, Laura
Contribuinte(s)

Montanari, Alberto

Data(s)

06/05/2011

Resumo

Traditional procedures for rainfall-runoff model calibration are generally based on the fit of the individual values of simulated and observed hydrographs. It is used here an alternative option that is carried out by matching, in the optimisation process, a set of statistics of the river flow. Such approach has the additional, significant advantage to allow also a straightforward regional calibration of the model parameters, based on the regionalisation of the selected statistics. The minimisation of the set of objective functions is carried out by using the AMALGAM algorithm, leading to the identification of behavioural parameter sets. The procedure is applied to a set of river basins located in central Italy: the basins are treated alternatively as gauged and ungauged and, as a term of comparison, the results obtained with a traditional time-domain calibration is also presented. The results show that a suitable choice of the statistics to be optimised leads to interesting results in real world case studies as far as the reproduction of the different flow regimes is concerned.

Formato

application/pdf

Identificador

http://amsdottorato.unibo.it/3386/1/lombardi_laura_tesi.pdf

urn:nbn:it:unibo-2426

Lombardi, Laura (2011) Calibrazione di modelli idrologici con algoritmi multiobiettivo, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Ingegneria idraulica: scienze e tecnologie dell'acqua <http://amsdottorato.unibo.it/view/dottorati/DOT371/>, 22 Ciclo. DOI 10.6092/unibo/amsdottorato/3386.

Idioma(s)

it

Publicador

Alma Mater Studiorum - Università di Bologna

Relação

http://amsdottorato.unibo.it/3386/

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #ICAR/02 Costruzioni idrauliche e marittime e idrologia
Tipo

Tesi di dottorato

NonPeerReviewed