Bayesian-MCMC inversion of time-lapse geophysical data to characterize vadose zone hydraulic behaviour
Détails
ID Serval
serval:BIB_D0CFDC054165
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Bayesian-MCMC inversion of time-lapse geophysical data to characterize vadose zone hydraulic behaviour
Titre de la conférence
GeoHydro, Quebec, Canada
Statut éditorial
Publié
Date de publication
2011
Langue
anglais
Notes
Scholer2011a
Résumé
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.
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.
Financement(s)
Fonds national suisse / Projets / 200020_138138
Création de la notice
25/11/2013 18:31
Dernière modification de la notice
23/12/2020 7:24
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