Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Time-Lapse ERT, Moment Analysis, and Numerical Modeling for Estimating the Hydraulic Conductivity of Unsaturated Rock |
| Abstract | In recent years, geophysical techniques have been increasingly used to monitor flow and transport processes in the Earth critical zone (ECZ). Among these, electrical resistivity tomography (ERT) is a powerful tool used to predict hydrological parameters and state variables that influence the mentioned processes in the vadose zone because of the strong correlation between electrical and hydrological properties of the filtering medium. There have been many field tests considering geophysical prospecting in soils, where point scale hydrological sensors measurements are typically collected through sensors for geophysical data validation; on the contrary, when the unsaturated zone is made of hard rocks, the installation of such sensors is not a trivial issue owing to the extreme difficulties to guarantee contact between sensors and the surrounding medium. In this context, the geophysical data combined with appropriate numerical analysis techniques can effectively overcome the lack of information of the unsaturated subsurface, which is otherwise unpredictable with traditional methods. In the proposed case study, hydrogeophysical data were collected to provide a quantitative estimation of the hydraulic conductivity of sandstone through an integrated approach based on the moment analysis technique and numerical modeling. |
| Source | Water (Basel) |
| Keywords | unsaturated zonehydrogephysical monitoringhydraulic conductivitymoment analysis |
| Journal | Water (Basel) |
| Editor | Molecular Diversity Preservation International, Basel, |
| Year | 2023 |
| Type | Articolo in rivista |
| Authors | Lorenzo De Carlo, Mohammad Farzamian, Antonietta Celeste Turturro and Maria Clementina Caputo |
| Text | 476846 2023 unsaturated zone hydrogephysical monitoring hydraulic conductivity moment analysis Time Lapse ERT, Moment Analysis, and Numerical Modeling for Estimating the Hydraulic Conductivity of Unsaturated Rock Lorenzo De Carlo, Mohammad Farzamian, Antonietta Celeste Turturro and Maria Clementina Caputo Water Research Institute, National Research Council of Italy, 70132 Bari, Italy Instituto Nacional de Investigação Agraria e Veterinaria, 2780 157 Oeiras, Portugal Centre of Geographical Studies CEG , IGOT, Universidade de Lisboa, 1600 276 Lisbon, Portugal In recent years, geophysical techniques have been increasingly used to monitor flow and transport processes in the Earth critical zone ECZ . Among these, electrical resistivity tomography ERT is a powerful tool used to predict hydrological parameters and state variables that influence the mentioned processes in the vadose zone because of the strong correlation between electrical and hydrological properties of the filtering medium. There have been many field tests considering geophysical prospecting in soils, where point scale hydrological sensors measurements are typically collected through sensors for geophysical data validation; on the contrary, when the unsaturated zone is made of hard rocks, the installation of such sensors is not a trivial issue owing to the extreme difficulties to guarantee contact between sensors and the surrounding medium. In this context, the geophysical data combined with appropriate numerical analysis techniques can effectively overcome the lack of information of the unsaturated subsurface, which is otherwise unpredictable with traditional methods. In the proposed case study, hydrogeophysical data were collected to provide a quantitative estimation of the hydraulic conductivity of sandstone through an integrated approach based on the moment analysis technique and numerical modeling. Published version Articolo in rivista Molecular Diversity Preservation International 2073 4441 Water Basel Water Basel Water Basel Water. Basel antoniettacelesteturturro TURTURRO ANTONIETTA CELESTE mariaclementina.caputo CAPUTO MARIA CLEMENTINA lorenzo.decarlo DE CARLO LORENZO |