Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization
Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

Author: J.B. Marco

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 470

ISBN-13: 9401116970

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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.

Stochastic Disaggregation Modelling of Rainfall Series
Stochastic Disaggregation Modelling of Rainfall Series

Author: Shashank Singh

Publisher: LAP Lambert Academic Publishing

Published: 2013

Total Pages: 140

ISBN-13: 9783659435782

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Meteorological 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.

Rainfall-runoff Modelling in Gauged and Ungauged Catchments
Rainfall-runoff Modelling in Gauged and Ungauged Catchments

Author: Thorsten Wagener

Publisher: World Scientific

Published: 2004

Total Pages: 320

ISBN-13: 9781860945397

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This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab- modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been developed for the gauged catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. Modelling frameworks for both gauged and ungauged cases are developed. This book presents the first extensive treatment of rainfall-runoff model identification in gauged and ungauged catchments."

Time Series Modelling of Water Resources and Environmental Systems
Time Series Modelling of Water Resources and Environmental Systems

Author: K.W. Hipel

Publisher: Elsevier

Published: 1994-04-07

Total Pages: 1053

ISBN-13: 0080870368

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This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-single output, intervention and multivariate ARMA models. Other topics in environmetrics covered in this book include time series analysis in decision making, estimating missing observations, simulation, the Hurst phenomenon, forecasting experiments and causality. Professionals working in fields overlapping with environmetrics - such as water resources engineers, environmental scientists, hydrologists, geophysicists, geographers, earth scientists and planners - will find this book a valuable resource. Equally, environmetrics, systems scientists, economists, mechanical engineers, chemical engineers, and management scientists will find the time series methods presented in this book useful.

Adequate Modeling of Systems
Adequate Modeling of Systems

Author: Horst Wedde

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 348

ISBN-13: 3642692087

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This book is based on the proceedings of the "International Working Conference on Model Realism" which was held in Bad Honnef near Bonn, April 20 - 23, 1982. ·Both its theme and format of discussion were unconventional. Their main motivation can be de scribed as follows: In the last several years there has been a growing interest in determining the ex tent to which different methodologies are able to adequately deal with real-world problems of contemporary interest, especially when people from different disciplines are involved in a large-scale project. The conference was to deal with the modeling aspects of different systems theories and approaches. It was intended to be a first step for an ongoing comparative discussion about the way in which methodologies can be used or be combined in order to contribute to systematic problem solutions. In order to get a common basis for a coherent and reliable discussion a set of 3 problem studies was introduced in the Call for Papers, each with a different back ground. They should provide a framework for a more detailed or specific problem de finition in a paper related to one of the problem studies. Slightly adjusted to the book format they are found ahead of the 3 main sections of this book each. The problem studies were constructed as modeling and organization/reorganization problem fields in the context of complex and large-scale real systems.

Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
Advances In Data-based Approaches For Hydrologic Modeling And Forecasting

Author: Bellie Sivakumar

Publisher: World Scientific

Published: 2010-08-10

Total Pages: 542

ISBN-13: 9814464759

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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.