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Your search keyword '"Zoccarato, Claudia"' showing total 3 results
Start Over Author "Zoccarato, Claudia" Region madrid (spain)
3 results on '"Zoccarato, Claudia"'

1. Understanding the dynamic behaviour for the Madrid aquifer (Spain): insights from the integration of A-DInSAR and 3-D groundwater flow and geomechanical models.

Author

Bonì, Roberta, Meisina, Claudia, Teatini, Pietro, Zucca, Francesco, Zoccarato, Claudia, Franceschini, Andrea, Ezquerro, Pablo, Béjar-Pizarro, Marta, Fernández-Merodo, José A., Guardiola-Albert, Carolina, Pastor, José L., Tomás, Roberto, and Herrera, Gerardo

Subjects
GROUNDWATER flow, SYNTHETIC aperture radar, AQUIFERS, GROUNDWATER, WAVELETS (Mathematics), TIME series analysis
Abstract

Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) techniques and 3-D groundwater flow and geomechanical models are integrated to improve our knowledge about the Tertiary detritic aquifer of Madrid (TDAM). In particular, the attention is focused on the Manzanares-Jarama well field, located to the northwest of Madrid, which experienced five cycles of extensive groundwater withdrawal followed by natural recovery, to cope with the droughts occurred in summer 1995, 1999, 2002, 2006, and 2009. Piezometric records and A-DInSAR data acquired by ERS-1/2 and ENVISAT satellites during the periods 1992–2000 and 2002–2010, respectively, have been used to calibrate the groundwater flow and the geomechanical models. A time-lag of about one month between the hydraulic head changes and the displacements of the land surface has been detected by a joint wavelet analysis of A-DInSAR and piezometer head time series. Overall, the results show the effectiveness of the proposed integrated approach composed of A-DInSAR and 3-D geomechanical model to characterize the aquifer-system response during and after the groundwater withdrawal. [ABSTRACT FROM AUTHOR]

Published
2020
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2. Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study.

Author

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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3. 3D groundwater flow and deformation modelling of Madrid aquifer.

Author

Bonì, Roberta, Meisina, Claudia, Teatini, Pietro, Zucca, Francesco, Zoccarato, Claudia, Franceschini, Andrea, Ezquerro, Pablo, Béjar-Pizarro, Marta, Antonio Fernández-Merodo, José, Guardiola-Albert, Carolina, Luis Pastor, José, Tomás, Roberto, and Herrera, Gerardo

Subjects
*GROUNDWATER flow, *DEFORMATIONS (Mechanics), *AQUIFERS, *STANDARD deviations, *WAVELETS (Mathematics)
Abstract

• A new methodology by coupling 3D hydro-mechanical models and A-DInSAR data. • Model catches pumping-induced aquifer drawdown and deformations. • Time-lag between pressure change and deformation is detected by wavelet analysis. • The procedure is tested in the strategic water resource of Madrid (Spain) • Madrid aquifer response to aquifer extraction/recovery is fast. A novel methodological approach to calibrate and validate three-dimensional (3D) finite element (FE) groundwater flow and geomechanical models has been implemented using Advanced Differential Interferometric SAR (A-DInSAR) data. In particular, we show how A-DInSAR data can be effectively used to (1) constrain the model set-up in evaluating the areal influence of the wellfield and (2) characterise the aquifer system, specifically the storage coefficient values, which represents a fundamental step in managing groundwater resources. The procedure has been tested to reconstruct the surface vertical and horizontal movements caused by the Manzanares-Jarama wellfield located northwest of Madrid (Spain). The wellfield was used to supply freshwater during major droughts over the period between 1994 and 2010. Previous A-DInSAR outcomes obtained by ERS-1/2 and ENVISAT acquisitions clearly revealed the seasonality of the land displacements associated to the withdrawal and recovery cycles that characterized the wellfield development. A time-lag of about one month, which is in the order of the time span between two SAR acquisitions, between the hydraulic head changes and the displacements has been detected in this site by a wavelet analysis of A-DInSAR and piezometer time series. The negligible delay between the forcing factor and the system response and the complete subsidence recovery when piezometric head recovers supported the understanding of a minor role played by the pore pressure propagation within clay layers and the almost perfectly elastic behavior of the system (viscosity is negligible), respectively. The developed geomechanical model satisfactorily reproduces the pumping-induced deformations with a Root Mean Square Error (RMSE) between observed and simulated land displacements in the order of 0.1–0.3 mm. The results give insights about the approach benefits in deeply understanding the spatio-temporal aquifer-system response to the management of this strategic water resource for Madrid. [ABSTRACT FROM AUTHOR]

Published
2020
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