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International Journal of Environmental Studies Volume 81, 2024 - Issue 4
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Article

Exploring dispersion modelling for resuspended pollen particles in a heterogeneous urban environment

Prosun Roya Department of Mechanical Engineering, Howard R. Hughes College of Engineering, University of Nevada Las Vegas, Las Vegas, NV, USA;b Department of Mechanical and Industrial Engineering, University of Wisconsin Platteville, Platteville, WI, USA;c Department of Environmental and Occupational Health, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1978-0484View further author information
ORCID Icon,
L.-W. Antony Chenc Department of Environmental and Occupational Health, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, USAORCID Iconhttps://orcid.org/0000-0002-2311-7506View further author information
ORCID Icon,
Jakub Lindad Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech RepublicORCID Iconhttps://orcid.org/0000-0002-2420-3078View further author information
ORCID Icon,
Eakalak Khane Department of Civil and Environmental Engineering and Construction, Howard R. Hughes College of Engineering, University of Nevada Las Vegas, Las Vegas, NV, USAView further author information
,
Yi-Tung Chena Department of Mechanical Engineering, Howard R. Hughes College of Engineering, University of Nevada Las Vegas, Las Vegas, NV, USAView further author information
,
Amra Hasečićf Faculty of Mechanical Engineering, University of Sarajevo, Sarajevo, Bosnia and HerzegovinaView further author information
,
Wai-Chi Chengg School of Atmospheric Sciences, and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, China;h School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, ChinaView further author information
,
Ülkü Alver Şahini Environmental Engineering Department, Engineering Faculty, Istanbul University-Cerrahpaşa, Istanbul, TürkiyeORCID Iconhttps://orcid.org/0000-0002-1075-707XView further author information
ORCID Icon,
Radu Mustataj Instituto de Carboquímica (ICB), CSIC- Universidad de Zaragoza, Zaragoza, SpainORCID Iconhttps://orcid.org/0000-0001-7472-7542View further author information
ORCID Icon,
Luis Valiñoj Instituto de Carboquímica (ICB), CSIC- Universidad de Zaragoza, Zaragoza, SpainORCID Iconhttps://orcid.org/0000-0002-2384-5896View further author information
ORCID Icon,
Jiří Pospíšild Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech RepublicView further author information
,
Shehnaz Akhtark School of Mechanical Engineering, University of Ulsan, Ulsan, South KoreaView further author information
&
Mark Buttnerc Department of Environmental and Occupational Health, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, USAView further author information
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Pages 1698-1714 | Published online: 05 Jul 2024
 
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ABSTRACT

Urban air quality assessment in regard to biogenic emissions such as airborne pollen grains (PGs) is indispensable in the urban environment which significantly affects human health, climates, ecosystems, and energy production. Dispersion and deposition of PGs because of resuspension events (ReSE) are investigated using computational fluid dynamics (CFD). The mechanisms in PGs movement are achieved through the Lagrangian formulation-based discrete-phase model (DPM). The observed pollen grains distribution pattern is highly spatially dependent on heterogeneous urban obstacles as it induces modified characteristics of the wind flow field. Wind-urban structure interplays in PGs concentration variation. The simulated results identify the pollen hot-spot zones, where vortical flow features and low wind speed dominate. This approach offers a detailed understanding of the dispersion patterns of airborne PGs in urban environments because of ReSE with high resolution.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study is partially supported by the NSF grants [OIA 2148788, AGS 2026824] and the projects of Brno University of Technology: [FAST/FSI-J-22-7905, FSI-S-20-6280]

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