Literature DB >> 25947056

Modeling of particulate matter dispersion from a poultry facility using AERMOD.

L S Hadlocon1, L Y Zhao, G Bohrer, W Kenny, S R Garrity, J Wang, B Wyslouzil, J Upadhyay.   

Abstract

This study evaluates the performance of AERMOD, the current U.S. Environmental Protection Agency (EPA) regulatory model, in simulating particulate matter (PM10 and PM2.5) dispersion from a poultry pullet facility. At the source, the daily mean PM10 and PM2.5 concentrations with strong diurnal patterns were estimated to be 436.01 ± 166.77 μg m⁻³ and 291.09 ± 105.81 μg m⁻³, respectively. This corresponded to daily mean emission rates of PM10 and PM2.5 as 0.067-0.073 g sec⁻¹ and 0.044-0.047 g sec⁻¹,respectively. The modeled hourly PM concentration showed acceptable accuracy relative to the measured PM concentrations downwind of the source. Increasing the averaging period from hourly to daily resulted in improved prediction. The simulations revealed that PM concentrations at and beyond the property line of the poultry facility were within the National Ambient Air Quality Standards. This study suggested that AERMOD is effective in predicting and assessing the impacts of PM downwind of poultry facilities.

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Year:  2015        PMID: 25947056     DOI: 10.1080/10962247.2014.986306

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  2 in total

1.  Modeling emissions from CAFO poultry farms in Poland and evaluating potential risk to surrounding populations.

Authors:  H R Pohl; M Citra; H A Abadin; I Szadkowska-Stańczyk; A Kozajda; L Ingerman; A Nguyen; H E Murray
Journal:  Regul Toxicol Pharmacol       Date:  2016-12-13       Impact factor: 3.271

2.  STHAM: an agent based model for simulating human exposure across high resolution spatiotemporal domains.

Authors:  Albert M Lund; Ramkiran Gouripeddi; Julio C Facelli
Journal:  J Expo Sci Environ Epidemiol       Date:  2020-03-09       Impact factor: 5.563

  2 in total

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