Tsallis Entropy Theory for Modeling in Water Engineering: A Review
文献类型:期刊论文
作者 | Singh, Vijay P.1,2; Sivakumar, Bellie3,4; Cui, Huijuan5 |
刊名 | ENTROPY
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出版日期 | 2017-12-01 |
卷号 | 19期号:12页码:25 |
关键词 | entropy water engineering Tsallis entropy principle of maximum entropy Lagrangian function probability distribution function flux concentration relation |
ISSN号 | 1099-4300 |
DOI | 10.3390/e19120641 |
通讯作者 | Singh, Vijay P.(vsingh@tamu.edu) ; Sivakumar, Bellie(s.bellie@unsw.edu.au) |
英文摘要 | 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. |
WOS关键词 | HYDRAULIC GEOMETRY RELATIONS ; ONE-DIMENSIONAL VELOCITY ; RIVER FLOW REGIMES ; OPEN CHANNELS ; INFORMATION-THEORY ; HYDROLOGICAL STOCHASTICS ; STATISTICAL-MECHANICS ; UNIVARIATE MODEL ; NETWORK DESIGN ; UNCERTAINTY |
资助项目 | Australian Research Council (ARC)[FT110100328] ; Chinese Academy of Sciences[ZDRW-ZS-2016-6-4] |
WOS研究方向 | Physics |
语种 | 英语 |
WOS记录号 | WOS:000419007900010 |
出版者 | MDPI AG |
资助机构 | Australian Research Council (ARC) ; Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/56848] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Singh, Vijay P.; Sivakumar, Bellie |
作者单位 | 1.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA 2.Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA 3.Univ New South Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia 4.Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Singh, Vijay P.,Sivakumar, Bellie,Cui, Huijuan. Tsallis Entropy Theory for Modeling in Water Engineering: A Review[J]. ENTROPY,2017,19(12):25. |
APA | Singh, Vijay P.,Sivakumar, Bellie,&Cui, Huijuan.(2017).Tsallis Entropy Theory for Modeling in Water Engineering: A Review.ENTROPY,19(12),25. |
MLA | Singh, Vijay P.,et al."Tsallis Entropy Theory for Modeling in Water Engineering: A Review".ENTROPY 19.12(2017):25. |
入库方式: OAI收割
来源:地理科学与资源研究所
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