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