An entropy-based method for determining the flow depth distribution in natural channels (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• An entropy-based method for determining the flow depth distribution in natural channels (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Alternative label

• Moramarco T. (1) Corato G. (2) Melone F.(1) Singh VP(2) (2013)
  An entropy-based method for determining the flow depth distribution in natural channels
  in Journal of hydrology (Amst.)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Moramarco T. (1) Corato G. (2) Melone F.(1) Singh VP(2) (literal)

Pagina inizio

• 176 (literal)

Pagina fine

• 188 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 497 (literal)

Rivista

• Journal of hydrology (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• 1) Istituto Ricerca Protezione Idrogeologica -CNR Perugia 2) Département Environnement et Agro-biotechnologies, Centre de Recherche Public Gabriel Lippmann, 41 Rue du Brill, 4422 Belvaux, Luxembourg 3) Department of Biological and Agricultural Engineering, Texas A and M University, 321 Scoates Hall, 2117 TAMU, College Station, TX 77843-2117, United States (literal)

Titolo

• An entropy-based method for determining the flow depth distribution in natural channels (literal)

Abstract

• A methodology for determining the bathymetry of river cross-sections during floods by the sampling of surface flow velocity and existing low flow hydraulic data is developed . Similar to Chiu (1988) who proposed an entropy-based velocity distribution, the flow depth distribution in a cross-section of a natural channel is derived by entropy maximization. The depth distribution depends on one parameter, whose estimate is straightforward, and on the maximum flow depth. Applying to a velocity data set of five river gage sites, the method modeled the flow area observed during flow measurements and accurately assessed the corresponding discharge by coupling the flow depth distribution and the entropic relation between mean velocity and maximum velocity. The methodology unfolds a new perspective for flow monitoring by remote sensing, considering that the two main quantities on which the methodology is based, i.e., surface flow velocity and flow depth, might be potentially sensed by new sensors operating aboard an aircraft or satellite. (literal)

Prodotto di

• Previsione eventi idrologici estremi e valutazione rischio idraulico (TA.P05.004.002) (Modulo)
• Istituto di ricerca per la protezione idrogeologica (IRPI) (Istituto)

Autore CNR

• FLORISA MELONE (Unità di personale interno)
• TOMMASO MORAMARCO (Unità di personale interno)

Incoming links:

Autore CNR di

• TOMMASO MORAMARCO (Unità di personale interno)
• FLORISA MELONE (Unità di personale interno)

Prodotto

• Istituto di ricerca per la protezione idrogeologica (IRPI) (Istituto)
• Previsione eventi idrologici estremi e valutazione rischio idraulico (TA.P05.004.002) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Journal of hydrology (Rivista)