Entropy 2013, 15(4), 1221-1231; doi:10.3390/e15041221

Derivation of 2D Power-Law Velocity Distribution Using Entropy Theory

1,2,* email, 3email and 3email
Received: 1 February 2013; in revised form: 1 April 2013 / Accepted: 2 April 2013 / Published: 8 April 2013
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The one-dimensional (1D) power law velocity distribution, commonly used for computing velocities in open channel flow, has been derived empirically. However, a multitude of problems, such as scour around bridge piers, cutoffs and diversions, pollutant dispersion, and so on, require the velocity distribution in two dimensions. This paper employs the Shannon entropy theory for deriving the power law velocity distribution in two-dimensions (2D). The development encompasses the rectangular domain, but can be extended to any arbitrary domain, including a trapezoidal domain. The derived methodology requires only a few parameters and the good agreement is confirmed by comparing the velocity values calculated using the proposed methodology with values derived from both the 1D power law model and a logarithmic velocity distribution available in the literature.
Keywords: entropy; flow measurement; open-channel flow; Shannon entropy; streamflow; velocity distribution
PDF Full-text Download PDF Full-Text [462 KB, uploaded 8 April 2013 12:18 CEST]

Export to BibTeX |

MDPI and ACS Style

Singh, V.P.; Marini, G.; Fontana, N. Derivation of 2D Power-Law Velocity Distribution Using Entropy Theory. Entropy 2013, 15, 1221-1231.

AMA Style

Singh VP, Marini G, Fontana N. Derivation of 2D Power-Law Velocity Distribution Using Entropy Theory. Entropy. 2013; 15(4):1221-1231.

Chicago/Turabian Style

Singh, Vijay P.; Marini, Gustavo; Fontana, Nicola. 2013. "Derivation of 2D Power-Law Velocity Distribution Using Entropy Theory." Entropy 15, no. 4: 1221-1231.

Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert