51. Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study.
- Author
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Tomás, Roberto, Pastor, José Luis, Béjar-Pizarro, Marta, Bonì, Roberta, Ezquerro, Pablo, Fernández-Merodo, José Antonio, Guardiola-Albert, Carolina, Herrera, Gerardo, Meisina, Claudia, Teatini, Pietro, Zucca, Francesco, Zoccarato, Claudia, and Franceschini, Andrea
- Subjects
LAND subsidence ,WAVELETS (Mathematics) ,SYNTHETIC aperture radar ,WAVELET transforms ,AQUIFERS ,SIGNAL processing - Abstract
Interpretation of land subsidence time-series to understand the evolution of the phenomenon and the existing relationships between triggers and measured displacements is a great challenge. Continuous wavelet transform (CWT) is a powerful signal processing method mainly suitable for the analysis of individual nonstationary time-series. CWT expands time-series into the time-frequency space allowing identification of localized nonstationary periodicities. Complementarily, Cross Wavelet Transform (XWT) and Wavelet Coherence (WTC) methods allow the comparison of two time-series that may be expected to be related in order to identify regions in the time-frequency domain that exhibit large common cross-power and wavelet coherence, respectively, and therefore are evocative of causality. In this work we use CWT, XWT and WTC to analyze piezometric and InSAR (interferometric synthetic aperture radar) time-series from the Tertiary aquifer of Madrid (Spain) to illustrate their capabilities for interpreting land subsidence and piezometric time-series information. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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