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Characterizing Aquifer Properties through a Sparse Grid-Based Bayesian Framework and InSAR Measurements: A Basin-Scale Application to Alto Guadalentín, Spain
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  • Yueting Li,
  • Claudia Zoccarato,
  • Chiara Piazzola,
  • Guadalupe Bru,
  • Lorenzo Tamellini,
  • Carolina Guardiola-Albert,
  • Pietro Teatini
Yueting Li
Department of Civil, Environmental and Architectural Engineering, University of Padova

Corresponding Author:[email protected]

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Claudia Zoccarato
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Chiara Piazzola
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Guadalupe Bru
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Lorenzo Tamellini
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Carolina Guardiola-Albert
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Pietro Teatini
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Abstract

• A variably saturated coupled poroelastic model is developed to simulate soil deformation caused by groundwater depletion within a phreatic aquifer system at a basin scale. • A sparse grid-based Bayesian framework is proposed to infer hydraulic conductivity and compressbility by integrating the poroelastic model with observed data. • Utilization of InSAR-derived displacement datasets significantly reduces the uncertainty associated with aquifer properties, facilitating a comprehensive understanding of hydrogeological processes in an over-exploited aquifer system in Spain.
13 Aug 2024Submitted to ESS Open Archive
15 Aug 2024Published in ESS Open Archive