One of the most crucial steps in flow frequency studies is the definition of Homogenous Regions (HRs), i.e. areas with similar hydrological behavior. This is essential in ungauged catchments, as HR allows information to be transferred from a neighboring river basin. This study proposes a new, entropy-based approach to define HRs, in which regions are defined as homogeneous if their hydrometric stations capture redundant information. The problem is handled through the definition of the Information Transferred Index (ITI) as the ratio between redundant information and the total information provided by pairs of stations. The methodology is compared with a traditional, distance-based clustering method through a Monte Carlo experiment and a jack-knife procedure. Results indicate that the ITI-based method performs Well, adding value to current methodologies to define HRs.

A new methodology to define homogeneous regions through an entropy based clustering method / Ridolfi, E.; Rianna, M.; Trani, G.; Alfonso, L.; Di Baldassarre, G.; Napolitano, F.; Russo, F.. - In: ADVANCES IN WATER RESOURCES. - ISSN 0309-1708. - STAMPA. - 96:(2016), pp. 237-250. [10.1016/j.advwatres.2016.07.007]

A new methodology to define homogeneous regions through an entropy based clustering method

E. Ridolfi;M. Rianna
;
F. Napolitano;F. Russo
2016

Abstract

One of the most crucial steps in flow frequency studies is the definition of Homogenous Regions (HRs), i.e. areas with similar hydrological behavior. This is essential in ungauged catchments, as HR allows information to be transferred from a neighboring river basin. This study proposes a new, entropy-based approach to define HRs, in which regions are defined as homogeneous if their hydrometric stations capture redundant information. The problem is handled through the definition of the Information Transferred Index (ITI) as the ratio between redundant information and the total information provided by pairs of stations. The methodology is compared with a traditional, distance-based clustering method through a Monte Carlo experiment and a jack-knife procedure. Results indicate that the ITI-based method performs Well, adding value to current methodologies to define HRs.
2016
entropy; flood; region of influence; regionalization; similarity measures; ungauged basins; water Science and technology
01 Pubblicazione su rivista::01a Articolo in rivista
A new methodology to define homogeneous regions through an entropy based clustering method / Ridolfi, E.; Rianna, M.; Trani, G.; Alfonso, L.; Di Baldassarre, G.; Napolitano, F.; Russo, F.. - In: ADVANCES IN WATER RESOURCES. - ISSN 0309-1708. - STAMPA. - 96:(2016), pp. 237-250. [10.1016/j.advwatres.2016.07.007]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/884280
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