A 3-D Lagrangian stochastic model for the meso-scale atmospheric dispersion applications

摘要: Abstract A fully 3-D Lagrangian stochastic particle trajectory model is presented and applied to the meso-scale atmospheric dispersion ground concentration calculations. The use of Gaussian plume (GPM) with Pasquill–Gifford σ 's for downwind distances exceeding 10 km critically viewed. Further, effect variation in release height on parameters ( y , z ) studied continuous releases. a non-buoyant gas neutral stratified atmosphere simulated various stack heights. turbulent like vertical profiles fluctuating wind component eddy lifetimes horizontal directions, etc. were calculated using semi-empirical mathematical compared E – ϵ model. numerically coefficients are empirical Pasquill-modified . values as function distance, have been Green Glow data GPM comparison results demonstrate need over simple applications. overpredicts because it cannot take into account shear, which observed under all stability conditions. weak dependence 's, also observed.