Hilbert-Huang Transform Analysis Of Hydrological And Environmental Time Series

The Hilbert-Huang Transform ((HHT) is a recently developed technique which is used to analyze nonstationary data. Hydrologic and environmental series are, in the main, analyzed by using techniques which were developed for stationary data. This has led to problems of interpretation of the results. En...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Rao, A. Ramachandra (Συγγραφέας), Hsu, En-Ching (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2008.
Σειρά:Water Science and Technology Library, 60
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Rao, A. Ramachandra.  |e author. 
245 1 0 |a Hilbert-Huang Transform Analysis Of Hydrological And Environmental Time Series  |h [electronic resource] /  |c by A. Ramachandra Rao, En-Ching Hsu. 
264 1 |a Dordrecht :  |b Springer Netherlands,  |c 2008. 
300 |a XII, 248 p. 150 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Water Science and Technology Library,  |x 0921-092X ;  |v 60 
505 0 |a Hilbert-Huang Transform (HHT) Spectral Analysis -- Hilbert-Huang Spectra Of Simulated Data -- Rainfall Data Analysis -- Streamflow Data Analysis -- Temperature Data Analysis -- Wind Data Analysis -- Lake Temperature Data Analysis -- Conclusions. 
520 |a The Hilbert-Huang Transform ((HHT) is a recently developed technique which is used to analyze nonstationary data. Hydrologic and environmental series are, in the main, analyzed by using techniques which were developed for stationary data. This has led to problems of interpretation of the results. Environmental and hydrologic series are quite often nonstationary. The basic objective of the material discussed in this book is to analyze these data by using methods based on the Hilbert-Huang transform. These results are compared to the results from the traditional methods such as those based on Fourier transform and other classical statistical tests. Audience This book will be of value to researchers interested in climate change and advanced graduate students in civil engineering, atmospheric sciences and statistics. 
650 0 |a Engineering. 
650 0 |a Earth sciences. 
650 0 |a Hydrogeology. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering geology. 
650 0 |a Engineering  |x Geology. 
650 0 |a Foundations. 
650 0 |a Hydraulics. 
650 0 |a Climate change. 
650 0 |a Environmental sciences. 
650 1 4 |a Engineering. 
650 2 4 |a Geoengineering, Foundations, Hydraulics. 
650 2 4 |a Hydrogeology. 
650 2 4 |a Climate Change. 
650 2 4 |a Math. Appl. in Environmental Science. 
650 2 4 |a Earth Sciences, general. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
700 1 |a Hsu, En-Ching.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781402064531 
830 0 |a Water Science and Technology Library,  |x 0921-092X ;  |v 60 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4020-6454-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-EES 
950 |a Earth and Environmental Science (Springer-11646)