دانلود کتاب Entropy Theory and its Application in Environmental and Water Engineering

Entropy Theory and its Application in Environmental and Water Engineering responds to the need for a book that deals with basic concepts of entropy theory from a hydrologic and water engineering perspective and then for a book that deals with applications of these concepts to a range of water engineering problems. The range of applications of entropy is constantly expanding and new areas finding a use for the theory are continually emerging. The applications of concepts and techniques vary across different subject areas and this book aims to relate them directly to practical problems of environmental and water engineering.The book presents and explains the Principle of Maximum Entropy (POME) and the Principle of Minimum Cross Entropy (POMCE) and their applications to different types of probability distributions. Spatial and inverse spatial entropy are important for urban planning and are presented with clarity. Maximum entropy spectral analysis and minimum cross entropy spectral analysis are powerful techniques for addressing a variety of problems faced by environmental and water scientists and engineers and are described here with illustrative examples.Giving a thorough introduction to the use of entropy to measure the unpredictability in environmental and water systems this book will add an essential statistical method to the toolkit of postgraduates, researchers and academic hydrologists, water resource managers, environmental scientists and engineers.  It will also offer a valuable resource for professionals in the same areas, governmental organizations, private companies as well as students in earth sciences, civil and agricultural engineering, and agricultural and rangeland sciences.This book:Provides a thorough introduction to entropy for beginners and more experienced usersUses numerous examples to illustrate the applications of the theoretical principlesAllows the reader to apply entropy theory to the solution of practical problemsAssumes minimal existing mathematical knowledgeDiscusses the theory and its various aspects in both univariate and bivariate casesCovers newly expanding areas including neural networks from an entropy perspective and future developments.Content: Chapter 1 Introduction (pages 1–32): Chapter 2 Entropy Theory (pages 33–141): Chapter 3 Principle of Maximum Entropy (pages 142–171): Chapter 4 Derivation of Pome?Based Distributions (pages 172–212): Chapter 5 Multivariate Probability Distributions (pages 213–269): Chapter 6 Principle of Minimum Cross?Entropy (pages 270–289): Chapter 7 Derivation of POME?Based Distributions (pages 290–309): Chapter 8 Parameter Estimation (pages 310–334): Chapter 9 Spatial Entropy (pages 335–397): Chapter 10 Inverse Spatial Entropy (pages 398–435): Chapter 11 Entropy Spectral Analyses (pages 436–491): Chapter 12 Minimum Cross Entropy Spectral Analysis (pages 492–516): Chapter 13 Evaluation and Design of Sampling and Measurement Networks (pages 517–558): Chapter 14 Selection of Variables and Models (pages 559–580): Chapter 15 Neural Networks (pages 581–604): Chapter 16 System Complexity (pages 605–632):