Author(s)

G.S. Herrera & G.F. Finder

Abstract

The design of cost-effective space-time groundwater-quality sampling net- works requires the use of a statistical methodology that accounts for space- time correlations in an appropriate way. If contaminant concentrations have strong correlations for long periods of time, a single sample from a location could give us much information about concentrations at future times at other locations. This would lead to sampling networks that, with a small number of samples, would produce plume estimates with small uncertainty. In this work we combine stochastic simulation and a static Kalman filter to obtain the plume estimates. The goal of this paper is to evaluate this estimation method in the context of groundwater quality sampling network design. 1 Spa

Keywords