Stochastic Processes in Hydrology
Author: Vujica M. Yevjevich
Publisher:
Published:
Total Pages: 276
ISBN-13: 9781887201773
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Author: Vujica M. Yevjevich
Publisher:
Published:
Total Pages: 276
ISBN-13: 9781887201773
DOWNLOAD EBOOKAuthor: J.B. Marco
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 470
ISBN-13: 9401116970
DOWNLOAD EBOOKStochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.
Author: Ole E. Barndorff-Nielsen
Publisher: World Scientific
Published: 1998
Total Pages: 234
ISBN-13: 9789810233679
DOWNLOAD EBOOKThis book communicates some contemporary mathematical and statistical developments in river basin hydrology as they pertain to space-time rainfall, spatial landform and network structures and their role in understanding averages and fluctuations in the hydrologic water balance of river basins. While many of the mathematical and statistical nations have quite classical mathematical roots, the river basin data structure has led to many variations on the problems and theory.
Author: Bellie Sivakumar
Publisher: World Scientific
Published: 2010-08-10
Total Pages: 542
ISBN-13: 9814464759
DOWNLOAD EBOOKThis book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.
Author: Rafael L. Bras
Publisher: Courier Corporation
Published: 1993-01-01
Total Pages: 580
ISBN-13: 9780486676265
DOWNLOAD EBOOKAdvanced-level view of the tools of random processes and field theory as applied to the analysis and synthesis of hydrologic phenomena. Topics include time-series analysis, optimal estimation, optimal interpolation (Kriging), frequency-domain analysis of signals, and linear systems theory. Techniques and examples chosen to illustrate the latest advances in hydrologic signal analysis. Useable as graduate-level text in water resource systems, stochastic hydrology, random processes and signal analysis. 202 illustrations.
Author: Rao S. Govindaraju
Publisher: American Society of Civil Engineers
Published: 2002-01-01
Total Pages: 410
ISBN-13: 9780784405321
DOWNLOAD EBOOKAuthor: Vujica M. Yevjevich
Publisher: Water Resources Publications, LLC
Published: 1972
Total Pages: 304
ISBN-13:
DOWNLOAD EBOOKAuthor: Mauro Naghettini
Publisher: Springer
Published: 2016-10-26
Total Pages: 658
ISBN-13: 3319435612
DOWNLOAD EBOOKThis textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity. The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.
Author: Ramesh S. V. Teegavarapu
Publisher:
Published: 2019
Total Pages: 1022
ISBN-13: 9780784415177
DOWNLOAD EBOOKThis book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.
Author: Bellie Sivakumar
Publisher: Springer
Published: 2016-11-16
Total Pages: 408
ISBN-13: 9048125529
DOWNLOAD EBOOKThis authoritative book presents a comprehensive account of the essential roles of nonlinear dynamic and chaos theories in understanding, modeling, and forecasting hydrologic systems. This is done through a systematic presentation of: (1) information on the salient characteristics of hydrologic systems and on the existing theories for their modeling; (2) the fundamentals of nonlinear dynamic and chaos theories, methods for chaos identification and prediction, and associated issues; (3) a review of the applications of chaos theory in hydrology; and (4) the scope and potential directions for the future. This book bridges the divide between the deterministic and the stochastic schools in hydrology, and is well suited as a textbook for hydrology courses.