Abstract: This study considers the problem of quantifying stream depletion from pumping test data. Bayesian inference is used to quantify the posterior uncertainty of parameters for a simple vertically heterogeneous aquifer model, ...

Abstract: This study considers the estimation of aquifer parameters for a spatially heterogenous aquifer from pumping test data. An approach is proposed that is based on modeling the unknown parameters as smooth Markov random fields. ...

Abstract: Calibration of distributed parameter groundwater models in the Bayesian framework using Markov-chain Monte Carlo (MCMC) random sampling is often hampered by the large number of simulations required to make reliable uncertainty ...