Tsallis Entropy Theory for Modeling in Water Engineering: A Review

Water engineering is an amalgam of engineering (e.g., hydraulics, hydrology, irrigation, ecosystems, environment, water resources) and non-engineering (e.g., social, economic, political) aspects that are needed for planning, designing and managing water systems. These aspects and the associated issu...

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Main Authors: Vijay P. Singh, Bellie Sivakumar, Huijuan Cui
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/19/12/641
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author Vijay P. Singh
Bellie Sivakumar
Huijuan Cui
author_facet Vijay P. Singh
Bellie Sivakumar
Huijuan Cui
author_sort Vijay P. Singh
collection DOAJ
description Water engineering is an amalgam of engineering (e.g., hydraulics, hydrology, irrigation, ecosystems, environment, water resources) and non-engineering (e.g., social, economic, political) aspects that are needed for planning, designing and managing water systems. These aspects and the associated issues have been dealt with in the literature using different techniques that are based on different concepts and assumptions. A fundamental question that still remains is: Can we develop a unifying theory for addressing these? The second law of thermodynamics permits us to develop a theory that helps address these in a unified manner. This theory can be referred to as the entropy theory. The thermodynamic entropy theory is analogous to the Shannon entropy or the information theory. Perhaps, the most popular generalization of the Shannon entropy is the Tsallis entropy. The Tsallis entropy has been applied to a wide spectrum of problems in water engineering. This paper provides an overview of Tsallis entropy theory in water engineering. After some basic description of entropy and Tsallis entropy, a review of its applications in water engineering is presented, based on three types of problems: (1) problems requiring entropy maximization; (2) problems requiring coupling Tsallis entropy theory with another theory; and (3) problems involving physical relations.
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spelling doaj.art-4917f639e76f4fc9a110dd5e7db53fce2022-12-22T03:59:14ZengMDPI AGEntropy1099-43002017-11-01191264110.3390/e19120641e19120641Tsallis Entropy Theory for Modeling in Water Engineering: A ReviewVijay P. Singh0Bellie Sivakumar1Huijuan Cui2Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843-2117, USASchool of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, AustraliaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaWater engineering is an amalgam of engineering (e.g., hydraulics, hydrology, irrigation, ecosystems, environment, water resources) and non-engineering (e.g., social, economic, political) aspects that are needed for planning, designing and managing water systems. These aspects and the associated issues have been dealt with in the literature using different techniques that are based on different concepts and assumptions. A fundamental question that still remains is: Can we develop a unifying theory for addressing these? The second law of thermodynamics permits us to develop a theory that helps address these in a unified manner. This theory can be referred to as the entropy theory. The thermodynamic entropy theory is analogous to the Shannon entropy or the information theory. Perhaps, the most popular generalization of the Shannon entropy is the Tsallis entropy. The Tsallis entropy has been applied to a wide spectrum of problems in water engineering. This paper provides an overview of Tsallis entropy theory in water engineering. After some basic description of entropy and Tsallis entropy, a review of its applications in water engineering is presented, based on three types of problems: (1) problems requiring entropy maximization; (2) problems requiring coupling Tsallis entropy theory with another theory; and (3) problems involving physical relations.https://www.mdpi.com/1099-4300/19/12/641entropywater engineeringTsallis entropyprinciple of maximum entropyLagrangian functionprobability distribution functionflux concentration relation
spellingShingle Vijay P. Singh
Bellie Sivakumar
Huijuan Cui
Tsallis Entropy Theory for Modeling in Water Engineering: A Review
Entropy
entropy
water engineering
Tsallis entropy
principle of maximum entropy
Lagrangian function
probability distribution function
flux concentration relation
title Tsallis Entropy Theory for Modeling in Water Engineering: A Review
title_full Tsallis Entropy Theory for Modeling in Water Engineering: A Review
title_fullStr Tsallis Entropy Theory for Modeling in Water Engineering: A Review
title_full_unstemmed Tsallis Entropy Theory for Modeling in Water Engineering: A Review
title_short Tsallis Entropy Theory for Modeling in Water Engineering: A Review
title_sort tsallis entropy theory for modeling in water engineering a review
topic entropy
water engineering
Tsallis entropy
principle of maximum entropy
Lagrangian function
probability distribution function
flux concentration relation
url https://www.mdpi.com/1099-4300/19/12/641
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