A new methodology to define homogeneous regions through an entropy based clustering method. (October 2016)

• Record Type: Journal Article
• Authors: Ridolfi, E.; Rianna, M.; Trani, G.; Alfonso, L.; Di Baldassarre, G.; Napolitano, F.; Russo, F.
• Is Part Of: Advances in water resources. Volume 96(2016)
• Page Start: 237
• Page End: 250
• Publication Date: 2016-10
• Subjects: Regionalization -- Similarity measures -- Region of influence -- Entropy -- Flood -- Ungauged basins; Hydrology -- Periodicals; Hydrodynamics -- Periodicals; Hydraulic engineering -- Periodicals; 551.48
• DOI: 10.1016/j.advwatres.2016.07.007
• Languages: English
• ISSNs: 0309-1708

Abstract

Highlights: This study proposes a new, entropy-based approach to define homogeneous regions. The Information Transferred index (ITI) measures the information similarity of sites. ITI defines bigger and higher homogeneous regions than classical methods. ITI pools sites on the base of the information that they provide as an ensemble. 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.