Many of the parameters in subsurface flow and transport models cannot be estimated
directly at the scale of interest, but can only be derived through inverse modeling. During this …

The potential for human activities to adversely affect the environment has become of
increasing concern during the past two decades. Concomitantly, the transport and fate of …

The past decade has seen significant progress in characterizing uncertainty in
environmental systems models, through statistical treatment of incomplete knowledge …

Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity,
and its effects on flow and transport process, using probabilistic and geostatistical concepts …

Many details about the flow of water in soils in a hillslope are unknowable given current
technologies. One way of learning about the bulk effects of water velocity distributions on …

Solute transport in the subsurface is often considered to be a nonequilibrium process.
Predictive models for nonequilibrium transport may be based either on chemical …

A Lagrangian framework is used for analysing reactive solute transport by a steady random
velocity field, which is associated with flow through a heterogeneous porous formation. The …

Transport of tracers subject to mass transfer reactions in single rock fractures is investigated.
A Lagrangian probabilistic model is developed where the mass transfer reactions are …

Displacement studies on leaching of bromide and two pesticides (atrazine and isoproturon)
were conducted under unsaturated steady state flow conditions in 24 small undisturbed soil …

We modelled lithium transport through an undisturbed solid waste sample and a pilot-scale
experimental landfill by use of the same probabilistic Lagrangian approach. The waste …