Bayesian Markov chain Monte Carlo Inversion of Time-Lapse Geophysical Data To Characterize the Vadose Zone

Research output: Contribution to conferenceConference abstract for conferenceResearch

Geophysical methods have the potential to provide valuable information on hydrological properties in the unsaturated zone. In particular, time-lapse geophysical data, when coupled with a hydrological model and inverted stochastically, may allow for the effective estimation of subsurface hydraulic parameters and their corresponding uncertainties. In this study, we use a Bayesian Markov-chain-Monte-Carlo (MCMC) inversion approach to investigate how much information regarding vadose zone hydraulic properties can be retrieved from time-lapse crosshole GPR data collected at the Arrenaes field site in Denmark during a forced infiltration experiment.
Original languageEnglish
Publication date2011
Number of pages7
Publication statusPublished - 2011
EventGeoHydro 2011, Quebec, Canada -
Duration: 28 Aug 2011 → …


ConferenceGeoHydro 2011, Quebec, Canada
Period28/08/2011 → …

ID: 35449179