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Article

Numerical Simulation of Dispersion Patterns and Air Emissions for Optimal Location of New Industries Accounting for Environmental Risks

by
Ali Bseibsu
1,
Chandra Mouli R. Madhuranthakam
2,
Kaan Yetilmezsoy
3,*,
Ali Almansoori
4 and
Ali Elkamel
1,4
1
Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
2
Department of Chemical Engineering, Abu Dhabi University, Abu Dhabi P.O. Box 59911, United Arab Emirates
3
Department of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, Davutpasa, Esenler, 34220 Istanbul, Turkey
4
Department of Chemical Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
*
Author to whom correspondence should be addressed.
Pollutants 2022, 2(4), 444-461; https://doi.org/10.3390/pollutants2040030
Submission received: 7 September 2022 / Revised: 1 October 2022 / Accepted: 18 October 2022 / Published: 2 November 2022

Abstract

One of the main reasons for air pollution is industrial plants releasing huge amounts of air pollutants in the form of gas emissions. The different chemical pollutants and their corresponding levels present in these emissions, and their proximity to the industrial source, have serious effects on the nearby ecosystems. Some of the industrial nuisances include noise, smoke, dirt, dust, odor and noxious gases, which have to be minimized (if possible, eliminated), especially if the location is desired to be used as a community site. When choosing locations at which to build either new industrial plants or new community sites, software can be used to assess both the short-term and long-term concentration profiles of the various detrimental air pollutants. In this study, the AERMOD model was used to find an optimal location to build a new plant in Toledo, Ohio, USA. Simulations were performed to study the pollutant emissions and their dispersion patterns for four different geographic locations situated away from an existing plant in this region. The AERMOD model, along with the IRAP-h View model, which is approved by the US Environmental Protection Agency (EPA), has been successfully used to assess the fate and transport of pollutants from the proposed new industrial plants. The hazard quotients from the analysis of the results for these four different geographic locations were assessed. The highest total non-cancer hazard indices of 18.7 and 13.2 were obtained for fisher adult and fisher child, respectively, in one of the four locations. The acute inhalation quotient risk was less than the target hazard index of 0.25 for all the four locations. With respect to the concentrations of several chemicals of potential concern (COPC), such as soil, produce, beef, chicken, milk and pork, the fourth location (farthest east) recorded the minimum range values compared to the other three locations.
Keywords: AERMOD; air pollution; dispersion; environmental risks; optimization; simulation AERMOD; air pollution; dispersion; environmental risks; optimization; simulation

Share and Cite

MDPI and ACS Style

Bseibsu, A.; Madhuranthakam, C.M.R.; Yetilmezsoy, K.; Almansoori, A.; Elkamel, A. Numerical Simulation of Dispersion Patterns and Air Emissions for Optimal Location of New Industries Accounting for Environmental Risks. Pollutants 2022, 2, 444-461. https://doi.org/10.3390/pollutants2040030

AMA Style

Bseibsu A, Madhuranthakam CMR, Yetilmezsoy K, Almansoori A, Elkamel A. Numerical Simulation of Dispersion Patterns and Air Emissions for Optimal Location of New Industries Accounting for Environmental Risks. Pollutants. 2022; 2(4):444-461. https://doi.org/10.3390/pollutants2040030

Chicago/Turabian Style

Bseibsu, Ali, Chandra Mouli R. Madhuranthakam, Kaan Yetilmezsoy, Ali Almansoori, and Ali Elkamel. 2022. "Numerical Simulation of Dispersion Patterns and Air Emissions for Optimal Location of New Industries Accounting for Environmental Risks" Pollutants 2, no. 4: 444-461. https://doi.org/10.3390/pollutants2040030

APA Style

Bseibsu, A., Madhuranthakam, C. M. R., Yetilmezsoy, K., Almansoori, A., & Elkamel, A. (2022). Numerical Simulation of Dispersion Patterns and Air Emissions for Optimal Location of New Industries Accounting for Environmental Risks. Pollutants, 2(4), 444-461. https://doi.org/10.3390/pollutants2040030

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