Tomás, Roberto, Pastor Navarro, José Luis, Béjar Pizarro, Marta, Bonì, Roberta, Ezquerro Martín, Pablo, Fernández-Merodo, José Antonio, Guardiola-Albert, Carolina, Herrera García, Gerardo, Meisina, Claudia, Teatini, Pietro, Zucca, Francesco, Zoccarato, Claudia, Franceschini, Andrea
Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study
Proceedings of the International Association of Hydrological Sciences. 2020, 382: 353-359. doi:10.5194/piahs-382-353-2020
URI: http://hdl.handle.net/10045/106009
DOI: 10.5194/piahs-382-353-2020
ISSN: 2199-899X
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.
Keywords:Wavelet analysis, Madrid aquifer, Land subsidence
Copernicus Publications
info:eu-repo/semantics/article