There are a variety of ground-water resource and contamination problems that involve determining the state of ground water and detecting or predicting changes in the ground-water environment. Most approaches to ground-water monitoring network design avoid a rigorous formulation of the monitoring objectives and fail to consider the important processes controlling the movement of ground water and migration of ground-water contaminants. It is unlikely that such approaches to network design will be able to effectively and efficiently monitor the subsurface environment in the face of limited resources. This research aims to develop statistically sound and simulation based methods for ground-water monitoring network design. The goal is to [...]
Summary
There are a variety of ground-water resource and contamination problems that involve determining the state of ground water and detecting or predicting changes in the ground-water environment. Most approaches to ground-water monitoring network design avoid a rigorous formulation of the monitoring objectives and fail to consider the important processes controlling the movement of ground water and migration of ground-water contaminants. It is unlikely that such approaches to network design will be able to effectively and efficiently monitor the subsurface environment in the face of limited resources. This research aims to develop statistically sound and simulation based methods for ground-water monitoring network design. The goal is to develop techniques that unify stochastic ground-water flow and contaminant transport simulation with optimization for studying ground-water monitoring options, and to explore the capabilities and limitations of various network design methods.
