Modeling mercury deposition through latent space-time processes.

This paper provides a space-time process model for total wet mercury deposition. Key methodological features introduced include direct modeling of deposition rather than of expected deposition, the utilization of precipitation information (there is no deposition without precipitation) without having to construct a precipitation model, and the handling of point masses at 0 in the distributions of both precipitation and deposition. The result is a specification that enables spatial interpolation and temporal prediction of deposition as well as aggregation in space or time to see patterns and trends in deposition.We use weekly deposition monitoring data from the NADP/MDN (National Atmospheric Deposition Program/Mercury Deposition Network) for 2003 restricted to the eastern U.S. and Canada. Our spatio-temporal hierarchical model allows us to interpolate to arbitrary locations and, hence, to an arbitrary grid, enabling weekly deposition surfaces (with associated uncertainties) for this region. It also allows us to aggregate weekly depositions at coarser, quarterly and annual, temporal levels.

Duke Scholars

Author Alan E. Gelfand Statistical Science