A0524
Title: Gaussian process models for pollution in rivers
Authors: Marno Basson - Stellenbosch University (South Africa)
Theresa Smith - University of Bath (United Kingdom) [presenting]
Tobi Louw - Stellenbosch University (South Africa)
Abstract: The impact of human activity on the quality of surface waters, including rivers, has recently garnered considerable attention in the media. Statistical models to characterize the spatiotemporal distribution of biological and chemical indicators in a river network must accommodate several features not seen in typical spatial modelling applications, including censoring of measured concentrations and complicated representations of distance. A Bayesian approach is presented that addresses these two challenges within the framework of the spatial stream network model of another study applied to water quality monitoring data in Stellenbosch, South Africa.
