Bayesian spatial modeling of Lavaca Bay pollutants Academic Article uri icon

abstract

  • Locational risk of increased mercury and PAH concentrations in Lavaca Bay, Texas sediments and eastern oysters (Crassostrea virginica) harvested from Lavaca Bay, Texas were analysed. Chemical analysis results were evaluated utilizing Bayesian geo-statistical methods for comparison of the model fit of a random effects model versus a convoluted model which included both random and spatial effects. For those results fit best with the convoluted model, continuous surface maps of predicted parameter values were created. Sediment and oyster concentrations of mercury and the majority of measured PAHs were fit best with the convoluted model. The locational risks of encountering elevated concentrations of these pollutants in Lavaca Bay sediments and oysters were highest in close proximity to industrial facilities.

published proceedings

  • Mar Pollut Bull

author list (cited authors)

  • Bissett, W., Garry Adams, L., Field, R., Moyer, W., Phillips, T., Morgan Scott, H., ... Thompson, J. A.

citation count

  • 2

complete list of authors

  • Bissett, Wesley||Garry Adams, L||Field, Robert||Moyer, William||Phillips, Tim||Morgan Scott, H||Wade, Terry||Sweet, Steve||Thompson, James A

publication date

  • October 2008