Date of Award
Contaminant transport modeling of a conservative solute in the subsurface is investigated by applying a Kalman filter (KF) with time correlated measurement errors. The usual method or assumption often employed is white Gaussian errors, but timecorrelated measurement errors were used instead for this research, since some hydrological observation data exhibit time correlated error characteristics. An observation data was generated from a two dimensional
Mills, Godfrey, "Application Of Kalman Filter With Time Correlated Measurement Errors In Subsurface Contaminant Transport Modeling" (2011). Theses. 39.