Stochastic Simulation of Rainfall Time Series Using Disaggregation Models
Author: Shairul Rohaziawati Samat
Publisher:
Published: 2004
Total Pages:
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Shairul Rohaziawati Samat
Publisher:
Published: 2004
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Shashank Singh
Publisher: LAP Lambert Academic Publishing
Published: 2013
Total Pages: 140
ISBN-13: 9783659435782
DOWNLOAD EBOOKMeteorological models generate fields of precipitation and other climatological variables as spatial averages at the scale of the grid used for numerical solution. The grid-scale can be large, particularly for general circulation models and disaggregation is required. Disaggregation models were introduced in hydrology by the pioneering work of Valencia and Schaake (1972, 1973). Disaggregation models are widely used tools for the stochastic simulation of hydrologic series. They divide known higher-level values (e.g. annual) into lower level ones (e.g. seasonal), which add up to the given higher level. Thus ability to transform a series from a higher time scales to a lower one. Artificial Neural Network that mimics working of human neurons has proved to be a better performing model compared to stochastic and mathematical modeling of hydrological series. The result identified for Valencia-Schaake Model, Lane's Model and using ANN technique have been thoroughly discussed for their application and better understanding of Disaggregation modeling.
Author: 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: Veronica Villani
Publisher:
Published: 2015
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKStochastic disaggregation model, based on coupling of the modified version of the Bartlett-Lewis Rectangular Pulse stochastic rainfall model and proportional adjusting procedure, is shown to disaggregate daily observed precipitation to hourly scale. Furthermore synthetic hourly time series are generated.This model requires the identification of a set of parameters that allow to reproduce, as well as possible, the statistical properties of the observed precipitation. The identification is formulated as a global optimization problem. A comparison between observed and modeled statistics of the precipitation time series is presented for the weather station of San Martino Valle Caudina (Southern Italy).
Author: S. M. Parvez Bin Mahbub
Publisher:
Published: 2008
Total Pages: 244
ISBN-13:
DOWNLOAD EBOOKInvestigates "the use of a stochastic rainfall disaggregation model on a regional basis to disaggregate daily rainfall into any desired fine timescale in the State of Queensland ... required for certain hydrologic modellings such as crop simulation modelling, erosion modelling etc."--Abstract.
Author: Firat Y. Testik
Publisher: John Wiley & Sons
Published: 2013-05-02
Total Pages: 500
ISBN-13: 1118671546
DOWNLOAD EBOOKPublished by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 191. Rainfall: State of the Science offers the most up-to-date knowledge on the fundamental and practical aspects of rainfall. Each chapter, self-contained and written by prominent scientists in their respective fields, provides three forms of information: fundamental principles, detailed overview of current knowledge and description of existing methods, and emerging techniques and future research directions. The book discusses Rainfall microphysics: raindrop morphodynamics, interactions, size distribution, and evolution Rainfall measurement and estimation: ground-based direct measurement (disdrometer and rain gauge), weather radar rainfall estimation, polarimetric radar rainfall estimation, and satellite rainfall estimation Statistical analyses: intensity-duration-frequency curves, frequency analysis of extreme events, spatial analyses, simulation and disaggregation, ensemble approach for radar rainfall uncertainty, and uncertainty analysis of satellite rainfall products The book is tailored to be an indispensable reference for researchers, practitioners, and graduate students who study any aspect of rainfall or utilize rainfall information in various science and engineering disciplines.
Author: David L. Poole
Publisher: Cambridge University Press
Published: 2017-09-25
Total Pages: 821
ISBN-13: 110719539X
DOWNLOAD EBOOKArtificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
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.
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:
Publisher:
Published: 2005
Total Pages:
ISBN-13:
DOWNLOAD EBOOK