Multifractal Analysis in Hydrology
Application to Time Series
Nonfiction, Science & Nature, Mathematics, Mathematical Analysis, Computers, Advanced Computing, Programming, Data Modeling & Design, Science, Earth Sciences
| Author: | Daniel Schertzer, Pietro Bernardara, Ioulia Tchiriguyskaia, Michel Lang, Eric Sauquet | ISBN: | 9782759213993 |
| Publisher: | Quae | Publication: | December 13, 2007 |
| Imprint: | Quae | Language: | English |
| Author: | Daniel Schertzer, Pietro Bernardara, Ioulia Tchiriguyskaia, Michel Lang, Eric Sauquet |
| ISBN: | 9782759213993 |
| Publisher: | Quae |
| Publication: | December 13, 2007 |
| Imprint: | Quae |
| Language: | English |
This book provides a simplified description of the procedures to be used to perform an analysis of hydrological data within a multifractal framework. After a review of multifractal theory and the presentation of one model for identifying scale invariance properties, examples of applications to rainfall and discharge time series are given. It will be of interest to teachers and researchers in this field, both nationally and abroad.
This book provides a simplified description of the procedures to be used to perform an analysis of hydrological data within a multifractal framework. After a review of multifractal theory and the presentation of one model for identifying scale invariance properties, examples of applications to rainfall and discharge time series are given. It will be of interest to teachers and researchers in this field, both nationally and abroad.
