Stochastic Methods In Hydrology
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Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization
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Author : Juan B. Marco
language : en
Publisher: Springer Science & Business Media
Release Date : 1993
Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization written by Juan B. Marco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Mathematics categories.
Stochastic 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.
Stochastic Methods In Hydrology
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Author : Ole E. Barndorff-Nielsen
language : en
Publisher: World Scientific
Release Date : 1998
Stochastic Methods In Hydrology written by Ole E. Barndorff-Nielsen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Science categories.
This 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.
Stochastic Processes In Hydrology
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Author : Vujica M. Yevjevich
language : en
Publisher:
Release Date :
Stochastic Processes In Hydrology written by Vujica M. Yevjevich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Hydrology categories.
Stochastic Methods In Hydrology Rain Landforms And Floods
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Author : Ole E Barndorff-nielsen
language : en
Publisher: World Scientific
Release Date : 1998-03-31
Stochastic Methods In Hydrology Rain Landforms And Floods written by Ole E Barndorff-nielsen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-31 with Mathematics categories.
This 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.
Advances In Data Based Approaches For Hydrologic Modeling And Forecasting
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Author : Bellie Sivakumar
language : en
Publisher: World Scientific
Release Date : 2010
Advances In Data Based Approaches For Hydrologic Modeling And Forecasting written by Bellie Sivakumar and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Science categories.
This 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.
Stochastic Methods In Subsurface Contaminant Hydrology
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Author : Rao S. Govindaraju
language : en
Publisher: American Society of Civil Engineers
Release Date : 2002-01-01
Stochastic Methods In Subsurface Contaminant Hydrology written by Rao S. Govindaraju and has been published by American Society of Civil Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Mathematics categories.
Stochastic Water Resources Technology
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Author : N. T Kottegoda
language : en
Publisher: Springer
Release Date : 1980-06-18
Stochastic Water Resources Technology written by N. T Kottegoda and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-06-18 with Mathematics categories.
Stochastic Processes In Hydrology
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Author : Vujica M. Yevjevich
language : en
Publisher: Water Resources Publications, LLC
Release Date : 1972
Stochastic Processes In Hydrology written by Vujica M. Yevjevich and has been published by Water Resources Publications, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Science categories.
Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization
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Author : J.B. Marco
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic Hydrology And Its Use In Water Resources Systems Simulation And Optimization written by J.B. Marco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Stochastic 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.
Fundamentals Of Statistical Hydrology
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Author : Mauro Naghettini
language : en
Publisher: Springer
Release Date : 2016-10-26
Fundamentals Of Statistical Hydrology written by Mauro Naghettini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-26 with Science categories.
This 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.