摘要：The USEPA proposed AERMOD for short-range dispersion modeling and simultaneous deletion of ISC. In contrast, the regulatory model of China is a traditional Gaussian plume model similar to ISC. This paper demonstrates the advantage of AERMOD over the regulatory model of China by comparing their predicted ground level concentrations (GLC) along downwind distance to the Alaska tracer field data. The field experiment features buoyant release of effluent at elevated height over flat terrain and local flows influenced by building downwash. AERMOD shows significantly better space-time correlation and probability distribution than the China regulatory model, which frequently underestimates the GLC for effluent released with significant plume rise in stable atmospheric conditions. The performance of AERMOD is greatly enhanced by incorporating the state-of-the-art knowledge of boundary layer meteorology. In particular, AERMOD employs similarity theory in replacement of the discrete Pasquill-Gilford stability class; PDF modeling of asymmetric vertical diffusion of convective plumes; partial plume penetration across mixing height ceiling; and the PRIMEmodel for building downwash.
