Hydrologic Time Series Analysis

Hydrologic Time Series Analysis
Author: Deepesh Machiwal
Publisher: Springer Science & Business Media
Total Pages: 316
Release: 2012-03-05
Genre: Science
ISBN: 9400718616

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There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.

Hydrologic Time Series Analysis

Hydrologic Time Series Analysis
Author: Deepesh Machiwal
Publisher: Springer
Total Pages: 280
Release: 2011-12-23
Genre: Science
ISBN: 9789400718609

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There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.

Applied Modeling of Hydrologic Time Series

Applied Modeling of Hydrologic Time Series
Author: Jose D. Salas
Publisher: Water Resources Publication
Total Pages: 502
Release: 1980
Genre: Science
ISBN: 9780918334374

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Stochastic Water Resources Technology

Stochastic Water Resources Technology
Author: N. T Kottegoda
Publisher: Springer
Total Pages: 384
Release: 1980-06-18
Genre: Mathematics
ISBN: 1349034673

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Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series

Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series
Author: A.R. Rao
Publisher: Springer Science & Business Media
Total Pages: 251
Release: 2008-01-08
Genre: Science
ISBN: 1402064543

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The Hilbert-Huang Transform (HHT) is a recently developed technique used to analyze nonstationary data. This book uses methods based on the Hilbert-Huang Transform to analyze hydrological and environmental time series. These results are compared to the results from the traditional methods such as those based on Fourier transform and other classical statistical tests.

Time Series Modelling of Water Resources and Environmental Systems

Time Series Modelling of Water Resources and Environmental Systems
Author: K.W. Hipel
Publisher: Elsevier
Total Pages: 1053
Release: 1994-04-07
Genre: Technology & Engineering
ISBN: 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.

Statistical Analysis of Hydrologic Variables

Statistical Analysis of Hydrologic Variables
Author: Ramesh S. V. Teegavarapu
Publisher:
Total Pages: 1022
Release: 2019
Genre: Groundwater flow
ISBN: 9780784415177

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This book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.

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
Total Pages: 542
Release: 2010-08-10
Genre: Science
ISBN: 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.

Hydrological Data Driven Modelling

Hydrological Data Driven Modelling
Author: Renji Remesan
Publisher: Springer
Total Pages: 261
Release: 2014-11-03
Genre: Science
ISBN: 3319092359

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This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.