Abstract: This study proposes a state-updating scheme and a mechanism-updating scheme for a subsurface contaminant model so as to compose a dual state-mechanism adjustment adaptive filter (DAAF) to improve the plume transport ...

Abstract: Spatially independent Gaussian noise has been widely assumed in examining the Kalman filter (KF) properties in different areas of engineering practice. However, for subsurface modeling, it is more reasonable to consider ...

Abstract: A method has been developed that gives analytical solutions for estimation of the standard deviations σ

Abstract: Contaminants have been modeled using numerical models to predict their fate and transport. These models are simplified by introducing approximation that plagues the model with truncation and round-off errors. In order to ...

Abstract: Mathematical modeling of the contaminants in the subsurface is important to predict the spread of the plume as well as for risk assessment. A three-dimensional subsurface contaminant transport model with an instantaneous ...

Abstract: Accurate information about contaminant plume migration in the subsurface plays an important role in risk assessment and emergency response during site remediation. Rapid emergency response during severe soil contamination ...

Abstract: Prediction of a conservative solute transport in the subsurface is investigated by applying a Kalman filter (KF) that uses time-correlated-error and a KF that uses Gaussian error. The observation data generated from an ...

Abstract: Groundwater contaminant transport modeling is basically performed to predict contaminant concentration and to understand the biochemical and physical processes that happen in the subsurface of porous media. Modelers have ...

Abstract: A wastewater‐treatment system can be represented by a multistage configuration consisting of a variety of unit processes from various stages. The number of treatment combinations may be very large when the number of unit ...