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A new methodology to define homogeneous regions through an entropy based clustering method
Univ Perugia, DICA, I-06100 Perugia, Italy..ORCID-id: 0000-0002-4714-2511
Sapienza Univ Roma, DICEA, Rome, Italy..
Sapienza Univ Roma, DICEA, Rome, Italy..
UNESCO IHE, Hydroinformat Chair Grp, Delft, Netherlands..
Vise andre og tillknytning
2016 (engelsk)Inngår i: Advances in Water Resources, ISSN 0309-1708, E-ISSN 1872-9657, Vol. 96, s. 237-250Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2016. Vol. 96, s. 237-250
Emneord [en]
Regionalization, Similarity measures, Region of influence, Entropy, Flood, Ungauged basins
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-307273DOI: 10.1016/j.advwatres.2016.07.007ISI: 000384958100021OAI: oai:DiVA.org:uu-307273DiVA, id: diva2:1046392
Tilgjengelig fra: 2016-11-14 Laget: 2016-11-11 Sist oppdatert: 2020-01-10bibliografisk kontrollert

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