Effect of wind modeling error on fugitive emission location predictions
Fugitive emissions in the form of unintended, unmonitored and/or uncontrolled gas releases are important greenhouse gas (GHG) contributors. Limiting fugitive emissions can significantly reduce GHG. Concentration weighted trajectory and residence-time weighted concentration algorithms were used to predict source locations for four synthetic gas releases on representative gas plant geometry with wind error added to an initial ideal case from previous work. As the wind error increased, the spread of the trajectories increased, and the trajectories more rapidly intersected (and thus terminate at) domain boundaries. This led initially to a smaller (better) prediction region around Source 3. However, because no sources can be predicted in regions without trajectory coverage, the Pearson correlation dropped notably for the worst wind error case, when no trajectories pass through the source cell. This is an abstract of a paper presented at the 104th AWMA Annual Conference and Exhibition 2011 (Orlando, FL 6/21-24/2011).
|Keywords||Backward trajectories, Fugitive emissions, Source location, Trajectory statistical methods|
|Conference||104th Air and Waste Management Association Annual Conference and Exhibition 2011|
Brereton, C.A. (Carol A.), & Johnson, M.R. (2011). Effect of wind modeling error on fugitive emission location predictions. Presented at the 104th Air and Waste Management Association Annual Conference and Exhibition 2011.