Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study
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Título: | Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study |
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Autor/es: | 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 |
Grupo/s de investigación o GITE: | Ingeniería del Terreno y sus Estructuras (InTerEs) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Civil |
Palabras clave: | Wavelet analysis | Madrid aquifer | Land subsidence |
Área/s de conocimiento: | Ingeniería del Terreno |
Fecha de publicación: | 22-abr-2020 |
Editor: | Copernicus Publications |
Cita bibliográfica: | Proceedings of the International Association of Hydrological Sciences. 2020, 382: 353-359. doi:10.5194/piahs-382-353-2020 |
Resumen: | 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. |
Patrocinador/es: | This research has been supported by the Spanish Ministry of Economy and Competitiveness, the State Agency of Research and the European Funds for Regional Development (grant no. TEC2017-85244-C2-1-P). |
URI: | http://hdl.handle.net/10045/106009 |
ISSN: | 2199-899X |
DOI: | 10.5194/piahs-382-353-2020 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.5194/piahs-382-353-2020 |
Aparece en las colecciones: | INV - INTERES - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Tomas_etal_2020_ProcIAHS.pdf | 9,11 MB | Adobe PDF | Abrir Vista previa | |
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