Bayesian spatial modeling of Lavaca Bay pollutants

被引:5
作者
Bissett, Wesley [1 ]
Adams, L. Garry [2 ]
Field, Robert [1 ]
Moyer, William [1 ]
Phillips, Tim [3 ]
Scott, H. Morgan [3 ]
Wade, Terry [4 ]
Sweet, Steve [4 ]
Thompson, James A. [1 ]
机构
[1] Texas A&M Univ, Coll Vet Med, Dept Large Anim Clin Sci, College Stn, TX 77843 USA
[2] Texas A&M Univ, Coll Vet Med, Dept Vet Pathobiol, College Stn, TX 77843 USA
[3] Texas A&M Univ, Coll Vet Med, Dept Vet Integrat Biosci, College Stn, TX 77843 USA
[4] Texas A&M Univ, Coll Vet Med, Geochem & Environm Res Grp, College Stn, TX 77843 USA
关键词
Mercury; Polycyclic aromatic hydrocarbons; Bayesian geo-statistical analysis; Superfund; Locational risks; Lavaca Bay; Texas;
D O I
10.1016/j.marpolbul.2008.06.010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1781 / 1787
页数:7
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