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Author : Lan Zhang,V. P. Singh
Publisher : Cambridge University Press
Page : 621 pages
File Size : 53,5 Mb
Release : 2019-01-10
Category : Mathematics
ISBN : 9781108474252
Illustration of copula theory with detailed real-world case study examples in the fields of hydrology and water resources engineering.
Author : Lu Chen,Shenglian Guo
Publisher : Springer
Page : 290 pages
File Size : 53,8 Mb
Release : 2018-06-28
Category : Science
ISBN : 9789811305740
This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.
Author : Gianfausto Salvadori,Carlo De Michele,Nathabandu T. Kottegoda,Renzo Rosso
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 43,7 Mb
Release : 2007-06-01
Category : Science
ISBN : 9781402044151
This book is about the theoretical and practical aspects of the statistics of Extreme Events in Nature. Most importantly, this is the first text in which Copulas are introduced and used in Geophysics. Several topics are fully original, and show how standard models and calculations can be improved by exploiting the opportunities offered by Copulas. In addition, new quantities useful for design and risk assessment are introduced.
Author : Anonim
Publisher : Newnes
Page : 2131 pages
File Size : 44,5 Mb
Release : 2010-09-01
Category : Technology & Engineering
ISBN : 9780444531995
Water quality and management are of great significance globally, as the demand for clean, potable water far exceeds the availability. Water science research brings together the natural and applied sciences, engineering, chemistry, law and policy, and economics, and the Treatise on Water Science seeks to unite these areas through contributions from a global team of author-experts. The 4-volume set examines topics in depth, with an emphasis on innovative research and technologies for those working in applied areas. Published in partnership with and endorsed by the International Water Association (IWA), demonstrating the authority of the content Editor-in-Chief Peter Wilderer, a Stockholm Water Prize recipient, has assembled a world-class team of volume editors and contributing authors Topics related to water resource management, water quality and supply, and handling of wastewater are treated in depth
Author : Ramesh S. V. Teegavarapu,Jose D. Salas,Jery R. Stedinger
Publisher : Unknown
Page : 1022 pages
File Size : 49,9 Mb
Release : 2019
Category : Groundwater flow
ISBN : 078441517X
This book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.
Author : Subhankar Karmakar,Slobodan P. Simonovic,University of Western Ontario. Department of Civil and Environmental Engineering
Publisher : Unknown
Page : 141 pages
File Size : 42,5 Mb
Release : 2007-01-01
Category : Water resources development
ISBN : 0771426585
Author : Rajib Maity
Publisher : Springer Nature
Page : 448 pages
File Size : 45,5 Mb
Release : 2022-01-25
Category : Science
ISBN : 9789811655173
This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in this context. The purpose is to develop an understanding and illustrate the usefulness of the statistical techniques with detailed theory and numerous worked out examples. Apart from this, sample scripts based on MATLAB, Python and R for some examples are also provided to assist the readers to handle real life data. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers a valuable resource for researchers and professionals involved in the field of hydrology and climatology.
Author : Harry C. Torno
Publisher : Unknown
Page : 1466 pages
File Size : 45,7 Mb
Release : 1985
Category : Nature
ISBN : UCAL:B4978823
Author : Vijay P. Singh,Lan Zhang
Publisher : Cambridge University Press
Page : 313 pages
File Size : 52,5 Mb
Release : 2020-11-26
Category : Nature
ISBN : 9781108494649
An overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering.
Author : Vijay P. Singh,Lan Zhang
Publisher : Cambridge University Press
Page : 333 pages
File Size : 43,9 Mb
Release : 2022-04-07
Category : Nature
ISBN : 9781316516843
Overview of systems of frequency distributions, their properties, applications to the fields of water resources and environmental engineering.
Author : Rajib Maity
Publisher : Springer
Page : 444 pages
File Size : 44,7 Mb
Release : 2018-04-30
Category : Science
ISBN : 9789811087790
This book focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in this context. The purpose is to develop an understanding and illustrate the usefulness of the statistical techniques with detailed theory and numerous worked out examples. Apart from this, MATLAB-based codes and solutions of some worked out examples are also provided to assist the readers to handle real life data. This book presents a comprehensive knowledge of statistical techniques combining the basics of probability and the current advances in stochastic hydrology. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers valuable resources for researchers and professionals involved in the field of hydrology and climatology.
Author : Mauro Naghettini
Publisher : Springer
Page : 660 pages
File Size : 46,9 Mb
Release : 2016-10-26
Category : Science
ISBN : 9783319435619
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.
Author : I. A. Shiklomanov,John C. Rodda
Publisher : Cambridge University Press
Page : 456 pages
File Size : 48,7 Mb
Release : 2003
Category : Nature
ISBN : 0521617227
Modern assessment of the state of the world's water resources for researchers and policy-makers.
Author : Vijay P. Singh
Publisher : McGraw Hill Professional
Page : 849 pages
File Size : 45,8 Mb
Release : 2014-09-22
Category : Technology & Engineering
ISBN : 9780071835473
A THOROUGH INTRODUCTION TO ENTROPY THEORY AND ITS APPLICATIONS IN HYDROLOGIC SCIENCE AND ENGINEERING This comprehensive volume addresses basic concepts of entropy theory from a hydrologic engineering perspective. The application of these concepts to a wide range of hydrologic engineering problems is discussed in detail. The book is divided into sections--preliminaries, rainfall and evapotranspiration, subsurface flow, surface flow, and environmental considerations. Helpful equations, solutions, tables, and diagrams are included throughout this practical resource. Entropy Theory in Hydrologic Science and Engineering covers: Introduction to entropy theory Maximum entropy production principle Performance measures Morphological analysis Evaluation and design of sampling and measurement networks Precipitation variability Rainfall frequency distributions Evaluation of precipitation forecasting schemes Assessment of potential water resources availability Evaporation Infiltration Soil moisture Groundwater flow Rainfall-runoff modeling Streamflow simulation Hydrologic frequency analysis Streamflow forecasting River flow regime classification Sediment yield Eco-index
Author : Pijush Samui,Dieu Tien Bui,Subrata Chakraborty,Ravinesh C. Deo
Publisher : Butterworth-Heinemann
Page : 590 pages
File Size : 44,6 Mb
Release : 2019-10-05
Category : Computers
ISBN : 9780128165461
Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems
