Prakash " Review of Systems of Frequency Distributions for Water and Environmental Engineering by Vijay P. " Incorporation of information entropy theory, artificial neural network, and soft computing models in the development of integrated industrial water quality index." Environmental Monitoring and Assessment 10.1007/s10669-x Online publication date: August 2022 Khedun C. Kumar Bimlesh " Study of physicochemical parameters and wetland water quality assessment by using Shannon’s entropy." Applied Water Science 10.1007/s13209-4 Online publication date: October 2022 Israr Jahanzaib " Use of fractal entropy to predict potential of internal instability of granular filters-a novel alternate to PSD-based methods." Arabian Journal of Geosciences 10.1007/s12510-y Online publication date: September 2022 Egbueri Johnbosco C. Chau Kwok Wing " Hydrological Models." Climate Change in Sustainable Water Resources Management 10.1007/978-981-19-1898-8, 2364-69342364-8198 Yoosefdoost Arash Bozorg-Haddad Omid Chen Jie Chau Kwok Wing Khan Fahmida " Downscaling Methods." Climate Change in Sustainable Water Resources Management 10.1007/978-981-19-1898-8, 2364-69342364-8198 Billi Paolo " Geomorphology of Eritrean River Systems." Landscapes and Landforms of the Horn of Africa 10.1007/978-7-7, 2213-20902213-2104 Bahmanpouri Farhad Eltner Anette Barbetta Silvia Bertalan László Moramarco Tommaso " Estimating the Average River Cross‐Section Velocity by Observing Only One Surface Velocity Value and Calibrating the Entropic Parameter." Water Resources Research 10.1029/2021WR031821 Online publication date: October 2022 Singh Kunwar Raghvendra Dutta Rahul Kalamdhad Ajay S. " Probabilistic Flood Hazard Mapping Considering Multiple Levee Breaches." Water Resources Research 10.1029/2021WR030874 Online publication date: April 2022 Yoosefdoost Icen Bozorg-Haddad Omid Singh Vijay P. " Velocity Distribution in Seepage-Affected Alluvial Channels Using Renyi Entropy." Journal of Hydrologic Engineering Online publication date: June 2022 Soares Pereira Francisco Jairo Viana da Silva Filho Antonio Batista Lopes José Wellington Carlos de Araújo José " Entropy model to assess sediment resuspension probability and trap efficiency of small dams." International Journal of Sediment Research Maranzoni A. Sharma Anurag Roy Mrinal Jha Vedant Kumar Bimlesh Singh V.
He is widely published in the areas of hydrology, ground water, hydraulics, irrigation engineering, environmental engineering, water resources, and stochastic and mathematical modeling.
#Entropy chair professional
He has won more than 65 national and international awards, including two honorary doctorates, for his technical contributions and professional service. He currently serves as Editor-in-Chief of two water journals and associate editor of more than 20 others. Lehrer Distinguished Chair in Water Engineering at Texas A & M University. Singh, Ph.D., D.Sc., P.E., P.H., Hon.D.WRE, is the University Distinguished Professor and holds the Caroline and William N. Graduate students, advanced undergraduates, and their professors will benefit from the lucid explanation of a complex theory and its applications.Ībout the Author: Vijay P. More than 170 solved examples illustrate these applications, and each chapter concludes with problem sets and plentiful references.īy illustrating the power, usefulness, and versatility of entropy theory, this book puts a valuable tool in the hands of practitioners.
He explores its application in five areas important to hydraulic engineers: velocity distributions, sediment concentration and discharge, hydraulic geometry, channel design, and water distribution systems.
As hydraulic systems become more complex, entropy theory enables hydraulic engineers to quantify uncertainty, determine risk and reliability, estimate parameters, model processes, and design more robust and dependable water hydraulic systems.ĭrawing on many years of experience applying and teaching hydraulics, Vijay Singh provides a clear introduction to the fundamentals of entropy theory as it has evolved over the past 40 years.
In the hydraulic context, entropy is valuable as a way of measuring uncertainty or surprise-or even disorder or chaos-as a type of information. Entropy Theory in Hydraulic Engineering: An Introduction is the first book to explain the basic concepts of entropy theory from a hydraulic perspective and demonstrate the theory's application in solving practical engineering problems.
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