Bayesian Markov chain Monte Carlo Inversion of Time-Lapse Geophysical Data To Characterize the Vadose Zone
Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
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Bayesian Markov chain Monte Carlo Inversion of Time-Lapse Geophysical Data To Characterize the Vadose Zone. / Scholer, Marie; Irving, James; Zibar, Majken Caroline Looms; Nielsen, Lars; Holliger, Klaus.
2011. Abstract fra GeoHydro 2011, Quebec, Canada.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
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TY - ABST
T1 - Bayesian Markov chain Monte Carlo Inversion of Time-Lapse Geophysical Data To Characterize the Vadose Zone
AU - Scholer, Marie
AU - Irving, James
AU - Zibar, Majken Caroline Looms
AU - Nielsen, Lars
AU - Holliger, Klaus
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
M3 - Conference abstract for conference
Y2 - 28 August 2011
ER -
ID: 35449179