title: Critical review of the building downwash algorithms in AERMOD.
abstract: The only documentation on the building downwash algorithm in AERMOD (American Meteorological Society/U.S. Environmental Protection Agency Regulatory Model), referred to as PRIME (Plume Rise Model Enhancements), is found in the 2000 A&WMA journal article by Schulman, Strimaitis and Scire. Recent field and wind tunnel studies have shown that AERMOD can overpredict concentrations by factors of 2 to 8 for certain building configurations. While a wind tunnel equivalent building dimension study (EBD) can be conducted to approximately correct the overprediction bias, past field and wind tunnel studies indicate that there are notable flaws in the PRIME building downwash theory. A detailed review of the theory supported by CFD (Computational Fluid Dynamics) and wind tunnel simulations of flow over simple rectangular buildings revealed the following serious theoretical flaws: enhanced turbulence in the building wake starting at the wrong longitudinal location; constant enhanced turbulence extending up to the wake height; constant initial enhanced turbulence in the building wake (does not vary with roughness or stability); discontinuities in the streamline calculations; and no method to account for streamlined or porous structures.
  
  
  
  This paper documents theoretical and other problems in PRIME along with CFD simulations and wind tunnel observations that support these findings. Although AERMOD/PRIME may provide accurate and unbiased estimates (within a factor of 2) for some building configurations, a major review and update is needed so that accurate estimates can be obtained for other building configurations where significant overpredictions or underpredictions are common due to downwash effects. This will ensure that regulatory evaluations subject to dispersion modeling requirements can be based on an accurate model. Thus, it is imperative that the downwash theory in PRIME is corrected to improve model performance and ensure that the model better represents reality.
authors.affiliation: a CPP, Inc ., Fort Collins , CO , USA.
authors.forename: Ron L
authors.initials: RL
authors.lastname: Petersen
authors.affiliation: a CPP, Inc ., Fort Collins , CO , USA.
authors.forename: Sergio A
authors.initials: SA
authors.lastname: Guerra
authors.affiliation: a CPP, Inc ., Fort Collins , CO , USA.
authors.forename: Anthony S
authors.initials: AS
authors.lastname: Bova
mesh_terms: D000465:Algorithms; D004784:Environmental Monitoring; D057446:Hydrodynamics; D008962:Models, Theoretical; D014481:United States; D014484:United States Environmental Protection Agency; D014919:Wind