A probabilistic model for transport of air pollutants based on forward trajectory calculations
基于轨迹计算的污染物归趋概率模型

A Potential Receptor Influence Function (PRIF) was developed as a probabilistic model for air pollutant transport based on calculation of forward air mass trajectories. Major decay processes including phase distribution,degradation,dry deposition and wet precipitation were incorporated into the model which can be used to project the spatial distribution pattern or the influence of emission from a given source region on a receptor region. With emission inventory available,concentration field and transport fl...