Hydrologic Time Series Analysis

Author : Deepesh Machiwal
Publisher : Springer Science & Business Media
ISBN 13 : 9400718616
Total Pages : 316 pages
Book Rating : 4.16/5 ( download)

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Download or read book Hydrologic Time Series Analysis written by Deepesh Machiwal and published by Springer Science & Business Media. This book was released on 2012-03-05 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Deepesh Machiwal
Publisher : Springer
ISBN 13 : 9789400718609
Total Pages : 280 pages
Book Rating : 4.08/5 ( download)

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Download or read book Hydrologic Time Series Analysis written by Deepesh Machiwal and published by Springer. This book was released on 2011-12-23 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Jose D. Salas
Publisher : Water Resources Publication
ISBN 13 : 9780918334374
Total Pages : 502 pages
Book Rating : 4.73/5 ( download)

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Download or read book Applied Modeling of Hydrologic Time Series written by Jose D. Salas and published by Water Resources Publication. This book was released on 1980 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Keith W. Hipel
Publisher :
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.71/5 ( download)

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Download or read book Time Series Analysis in Water Resources written by Keith W. Hipel and published by . This book was released on 1985 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : A.R. Rao
Publisher : Springer Science & Business Media
ISBN 13 : 1402064543
Total Pages : 251 pages
Book Rating : 4.48/5 ( download)

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Download or read book Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series written by A.R. Rao and published by Springer Science & Business Media. This book was released on 2008-01-08 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : N. T Kottegoda
Publisher : Springer
ISBN 13 : 1349034673
Total Pages : 384 pages
Book Rating : 4.73/5 ( download)

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Download or read book Stochastic Water Resources Technology written by N. T Kottegoda and published by Springer. This book was released on 1980-06-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Renji Remesan
Publisher : Springer
ISBN 13 : 3319092359
Total Pages : 250 pages
Book Rating : 4.55/5 ( download)

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Download or read book Hydrological Data Driven Modelling written by Renji Remesan and published by Springer. This book was released on 2014-11-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ramesh S. V. Teegavarapu
Publisher :
ISBN 13 : 9780784415177
Total Pages : 1022 pages
Book Rating : 4.7X/5 ( download)

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Download or read book Statistical Analysis of Hydrologic Variables written by Ramesh S. V. Teegavarapu and published by . This book was released on 2019 with total page 1022 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.

Author : Mohammed Atiquzzaman
Publisher : Springer Nature
ISBN 13 : 9813345721
Total Pages : 1868 pages
Book Rating : 4.20/5 ( download)

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Download or read book Big Data Analytics for Cyber-Physical System in Smart City written by Mohammed Atiquzzaman and published by Springer Nature. This book was released on 2020-12-17 with total page 1868 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Author : D.R. Helsel
Publisher : Elsevier
ISBN 13 : 9780080875088
Total Pages : 546 pages
Book Rating : 4.84/5 ( download)

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Download or read book Statistical Methods in Water Resources written by D.R. Helsel and published by Elsevier. This book was released on 1993-03-03 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.