Literature DB >> 33364910

Modeling lateral plume deflection in the wake of an elongated building.

E M Monbureau1, D K Heist2, S G Perry2, W Tang3.   

Abstract

The plume dispersion model AERMOD provides an efficient method for modeling ground-level pollutant concentrations in wakes of buildings. In recent years, several studies have shown that the downwash algorithms within AERMOD often perform poorly in certain applications. Some studies have proposed modifications to the downwash algorithm in AERMOD to bring the model closer to representing the underlying physical processes associated with building downwash and closer to more accurately modeling observed pollutant concentrations. One such study by Monbureau et al. (2018) made changes to the model that significantly improved its ability to model ground level concentrations for a simple case of a single rectangular building with an elevated, effluent-emitting stack experiencing winds perpendicular to the upwind side of the building. The present study introduces a simple algorithm to enhance AERMOD's ability to appropriately match the dispersion pattern in the complex flow case of non-orthogonal winds. This algorithm, which is based on a rich set of Large-Eddy Simulations (LES), applies to a variety of building dimensions, stack locations, and stack heights. A sensitivity analysis demonstrates how additional modifications to the downwash algorithm may further improve AERMOD in modeling the spatial location of observed ground-level effluent.

Keywords:  AERMOD; Building wake; Dispersion; Downwash; LES; Modeling

Year:  2020        PMID: 33364910      PMCID: PMC7751676          DOI: 10.1016/j.atmosenv.2020.117608

Source DB:  PubMed          Journal:  Atmos Environ (1994)        ISSN: 1352-2310            Impact factor:   4.798


  4 in total

1.  Development and evaluation of the PRIME plume rise and building downwash model.

Authors:  L L Schulman; D G Strimaitis; J S Scire
Journal:  J Air Waste Manag Assoc       Date:  2000-03       Impact factor: 2.235

2.  Critical review of the building downwash algorithms in AERMOD.

Authors:  Ron L Petersen; Sergio A Guerra; Anthony S Bova
Journal:  J Air Waste Manag Assoc       Date:  2017-01-12       Impact factor: 2.235

3.  Enhancements to AERMOD's Building Downwash Algorithms based on Wind-Tunnel and Embedded-LES Modeling.

Authors:  E M Monbureau; D K Heist; S G Perry; L H Brouwer; H Foroutan; W Tang
Journal:  Atmos Environ (1994)       Date:  2018-04       Impact factor: 4.798

4.  Numerical analysis of pollutant dispersion around elongated buildings: an embedded large eddy simulation approach.

Authors:  H Foroutan; W Tang; D K Heist; S G Perry; L H Brouwer; E M Monbureau
Journal:  Atmos Environ (1994)       Date:  2018-08       Impact factor: 4.798

  4 in total

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