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

Research output: Contribution to conferenceConference abstract for conferenceResearch

Marie Scholer, James Irving, Majken Caroline Looms Zibar, Lars Nielsen, Klaus Holliger

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