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Open AccessArticle

Randomness Representation of Turbulence in Canopy Flows Using Kolmogorov Complexity Measures

1
Faculty of Agriculture, University of Novi Sad, Dositej Obradovic Sq. 8, 21000 Novi Sad, Serbia
2
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs), 10–14 July 2016, Toulouse, France.
Entropy 2017, 19(10), 519; https://doi.org/10.3390/e19100519
Received: 11 August 2017 / Revised: 21 September 2017 / Accepted: 25 September 2017 / Published: 27 September 2017
(This article belongs to the Special Issue Entropy Applications in Environmental and Water Engineering)
Turbulence is often expressed in terms of either irregular or random fluid flows, without quantification. In this paper, a methodology to evaluate the randomness of the turbulence using measures based on the Kolmogorov complexity (KC) is proposed. This methodology is applied to experimental data from a turbulent flow developing in a laboratory channel with canopy of three different densities. The methodology is even compared with the traditional approach based on classical turbulence statistics. View Full-Text
Keywords: turbulent flow; canopy flow; randomness; coherent structures; Shannon entropy; Kolmogorov complexity turbulent flow; canopy flow; randomness; coherent structures; Shannon entropy; Kolmogorov complexity
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MDPI and ACS Style

Mihailović, D.; Mimić, G.; Gualtieri, P.; Arsenić, I.; Gualtieri, C. Randomness Representation of Turbulence in Canopy Flows Using Kolmogorov Complexity Measures. Entropy 2017, 19, 519.

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