Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Geophysical and hydrological data assimilation to monitor water content dynamics in the rocky unsaturated zone |
| Abstract | In recent years, geophysics is increasingly used to study the flow and transport processes in the vadose zone. Particularly, when the vadose zone is made up of rocks, it is difficult to install sensors in the subsurface to measure hydrological state variables directly. In these cases, the electrical resistivity tomography (ERT) represents a useful tool to monitor the hydrodynamics of the infiltration and to estimate hydraulic parameters and state variables, such as hydraulic conductivity and water content. We propose an integrated approach aimed at predicting water content dynamics in calcarenite, a sedimentary carbonatic porous rock. The uncoupled hydrogeophysical approach proposed consists in 4D ERT monitoring conducted during an infiltrometer test under falling head conditions. Capacitance probes were installed to measure water content at different depths to validate the estimations derived from ERT. A numerical procedure, based on a data assimilation technique, was accomplished by combining the model (i.e., Richards' equation) with the observations in order to provide reliable water content estimations. We have used a new data assimilation method that is easy to implement, based on the ensemble Kalman filter coupled with Brownian bridges. This approach is particularly suitable for strongly non-linear models, such as Richards' equation, in order to take into account both the model uncertainty and the observation errors. The proposed data assimilation approach was tested for the first time on field data. A reasonable agreement was found between observations and predictions confirming the ability of the integrated approach to predict water content dynamics in the rocky subsoil. |
| Source | Environmental monitoring and assessment (Print) 190 |
| Keywords | rocky unsaturated zonehydrogeophysical monitoringRichards' equationdata assimilationBrownian bridges. |
| Journal | Environmental monitoring and assessment (Print) |
| Editor | Kluwer Academic Publishers, London, Paesi Bassi |
| Year | 2018 |
| Type | Articolo in rivista |
| DOI | 10.1007/s10661-018-6671-x |
| Authors | De Carlo L.; Berardi M.; Vurro M.; Caputo M.C. |
| Text | 398679 2018 10.1007/s10661 018 6671 x Scopus 2 s2.0 85045884376 rocky unsaturated zone hydrogeophysical monitoring Richards equation data assimilation Brownian bridges. Geophysical and hydrological data assimilation to monitor water content dynamics in the rocky unsaturated zone De Carlo L.; Berardi M.; Vurro M.; Caputo M.C. National Research Council CNR , Water Research Institute, via F. De Blasio, 5, Bari, 70132 In recent years, geophysics is increasingly used to study the flow and transport processes in the vadose zone. Particularly, when the vadose zone is made up of rocks, it is difficult to install sensors in the subsurface to measure hydrological state variables directly. In these cases, the electrical resistivity tomography ERT represents a useful tool to monitor the hydrodynamics of the infiltration and to estimate hydraulic parameters and state variables, such as hydraulic conductivity and water content. We propose an integrated approach aimed at predicting water content dynamics in calcarenite, a sedimentary carbonatic porous rock. The uncoupled hydrogeophysical approach proposed consists in 4D ERT monitoring conducted during an infiltrometer test under falling head conditions. Capacitance probes were installed to measure water content at different depths to validate the estimations derived from ERT. A numerical procedure, based on a data assimilation technique, was accomplished by combining the model i.e., Richards equation with the observations in order to provide reliable water content estimations. We have used a new data assimilation method that is easy to implement, based on the ensemble Kalman filter coupled with Brownian bridges. This approach is particularly suitable for strongly non linear models, such as Richards equation, in order to take into account both the model uncertainty and the observation errors. The proposed data assimilation approach was tested for the first time on field data. A reasonable agreement was found between observations and predictions confirming the ability of the integrated approach to predict water content dynamics in the rocky subsoil. 190 Published version http //www.scopus.com/record/display.url eid=2 s2.0 85045884376 origin=inward Articolo in rivista Kluwer Academic Publishers 0167 6369 Environmental monitoring and assessment Print Environmental monitoring and assessment Print Environ. monit. assess. Print Environmental monitoring and assessment. Print mariaclementina.caputo CAPUTO MARIA CLEMENTINA lorenzo.decarlo DE CARLO LORENZO marco.berardi BERARDI MARCO michele.vurro VURRO MICHELE |