Characterizing Aquifer Properties Through a Sparse‐Grids‐Based Bayesian Framework and InSAR Measurements: A Basin‐Scale Application to Alto Guadalentín, Spain
Abstract Aquifer characterization is essential for predicting aquifer responses and ensuring sustainable groundwater management. In this study we develop a sparse‐grids‐based Bayesian framework to infer the hydraulic conductivity and the soil compressibility of over‐exploited aquifer systems using I...
Saved in:
| Main Authors: | Yueting Li, Claudia Zoccarato, Chiara Piazzola, Lorenzo Tamellini, Guadalupe Bru, Carolina Guardiola‐Albert, Pietro Teatini |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-08-01
|
| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024WR038543 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimized Airborne Millimeter-Wave InSAR for Complex Mountain Terrain Mapping
by: Futai Xie, et al.
Published: (2025-01-01) -
Groundwater and Subsidence Modeling Combining Geological and Multi-Satellite SAR Data over the Alto Guadalentín Aquifer (SE Spain)
by: Pablo Ezquerro, et al.
Published: (2017-01-01) -
Establishing Personalized and Sparse Spinal Reflex Circuitry From Locomotion Data
by: Huawei Wang, et al.
Published: (2025-01-01) -
Surface deformation monitoring of Raniganj coalfield, India, using advanced InSAR and DGPS
by: Debjyoti Ghosh, et al.
Published: (2024-12-01) -
Interferometric signal simulation of spaceborne InSAR system
by: SUN Zao-yu, et al.
Published: (2006-01-01)