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About this book
International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling.
Audience
The book constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences.
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Keywords
Table of contents (33 chapters)
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Climatic Change
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Forecasting
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Entropy
Editors and Affiliations
Bibliographic Information
Book Title: Stochastic and Statistical Methods in Hydrology and Environmental Engineering
Book Subtitle: Time Series Analysis in Hydrology and Environmental Engineering
Editors: Keith W. Hipel, A. Ian McLeod, U. S. Panu, Vijay P. Singh
Series Title: Water Science and Technology Library
DOI: https://doi.org/10.1007/978-94-017-3083-9
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media B.V. 1994
Hardcover ISBN: 978-0-7923-2758-5Published: 30 September 1994
Softcover ISBN: 978-90-481-4379-5Published: 06 December 2010
eBook ISBN: 978-94-017-3083-9Published: 17 April 2013
Series ISSN: 0921-092X
Series E-ISSN: 1872-4663
Edition Number: 3
Number of Pages: XX, 476
Topics: Hydrogeology, Environmental Management, Probability Theory and Stochastic Processes, Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution, Operations Research/Decision Theory