Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Comparing grey formulations of the velocity-area method and entropy method for discharge estimation with uncertainty

Articolo
Data di Pubblicazione:
2014
Abstract:
Two methods, namely the velocity-area method and the entropy method, for assessing with uncertainty discharge measurements at gauged river sites are analysed and compared; uncertainty is represented through the grey number technique. Two different approaches for the "greyification" of both methods are presented herein. In the first approach, the uncertainty affecting each measurement used to estimate the discharge is characterized by means of a grey number: all the grey uncertainty components are then combined through the grey mathematic. In the second approach, greyification is applied to the relationship expressing the total uncertainty on the discharge measurement provided by the EN ISO 748 guidelines. Results of the application of the proposed methods to measurement data pertaining to three different gauged sections of the Tiber river, in central Italy, show that the first greyification approach leads to a broader discharge uncertainty estimate with respect to the second. Furthermore, being the greyification approach and the flow area quantification the same, the velocity-area and entropy methods provide nearly the same estimate of the uncertainty affecting the discharge measurements, i.e. the grey discharges provided by the two methods are very similar. This testifies in favour of the entropy method, which is simpler than the other from an operative viewpoint.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
discharge calculation; flow velocity; measurement uncertainty; grey number
Elenco autori:
Moramarco, Tommaso; Barbetta, Silvia; Melone, Florisa
Autori di Ateneo:
BARBETTA SILVIA
MORAMARCO TOMMASO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/19247
  • Dati Generali

Dati Generali

URL

http://www.iwaponline.com/jh/016/jh0160797.htm
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)