Maximum Likelihood Bayesian Averaging of air flow models in unsaturated fractured tuff using Occam and variance windows
E. Morales-Casique, S.P. Neuman, V.V. Vesselinov
Special issue of Stochastic Environmental Research and Risk Assessment (SERRA) Journal celebrating 70th anniversary of Shlomo P Neuman2010DOI 10.1007/s00477-010-0383-2
Summary
of the conditions for each test is presented in Table1. For inverse calibration we selected the cross-hole tests labelled and ; we validated the calibrated models by predicting pressure variations during cross-hole tests, and . During each test air was injected into a given interval and responses were monitored in relatively short intervals (0.5–m) and relatively long intervals (4–42.m) shown in Fig.1.