Predicting mercury wet deposition in Florida: A simple approach
Abbreviated Journal Title
atmospheric deposition; mercury; precipitation; regression; MDN; Environmental Sciences; Meteorology & Atmospheric Sciences
Atmospheric mercury deposition is currently simulated using complex models that incorporate known transport and transformation processes. Though comprehensive, significant errors still exist between simulated and measured Mercury Deposition Network (MDN) data. The goal of this work was to develop a simpler approach to predict mercury deposition. Weekly precipitation sampling in Orlando, FL was conducted from September 2003 and presently continues. Rainfall and mercury deposition data were gathered from this site and 7 others located in and around Florida, to investigate spatial and seasonal patterns. Approximately 80% of Florida's rainfall and mercury deposition occur during the wet season. Regional wet and dry season equations were developed to predict mercury deposition from rainfall depth. A positive linear relationship was observed between rainfall depth and mercury deposition (R-2 = 0.80). Model results were validated with MDN measurements at the Orlando site. This tool can be applied to predict mercury deposition at any location in Florida using local rainfall data. (c) 2006 Elsevier Ltd. All rights reserved.
"Predicting mercury wet deposition in Florida: A simple approach" (2006). Faculty Bibliography 2000s. 6146.