How Outdoor Trees Affect Indoor Particulate Matter Dispersion: CFD Simulations in a Naturally Ventilated Auditorium

Bo Hong, Hongqiao Qin, Runsheng Jiang, Min Xu and Jiaqi Niu
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Bo Hong: College of Landscape Architecture & Arts, Northwest A&F University, Yangling 712100, China
Hongqiao Qin: College of Landscape Architecture & Arts, Northwest A&F University, Yangling 712100, China
Runsheng Jiang: College of Landscape Architecture & Arts, Northwest A&F University, Yangling 712100, China
Min Xu: College of Landscape Architecture & Arts, Northwest A&F University, Yangling 712100, China
Jiaqi Niu: College of Landscape Architecture & Arts, Northwest A&F University, Yangling 712100, China

IJERPH, 2018, vol. 15, issue 12, 1-21

Abstract: This study used computational fluid dynamics (CFD) models, coupling with a standard k-ε model based on the Reynolds-averaged Navier-Stokes (RANS) approach and a revised generalized drift flux model, to investigate effects of outdoor trees on indoor PM 1.0 , PM 2.5 , and PM 10 dispersion in a naturally ventilated auditorium. Crown volume coverage ( CVC ) was introduced to quantify outdoor trees. Simulations were performed on various CVCs , oncoming wind velocities and window opening sizes (wall porosities were 3.5 and 7.0%, respectively, for half and fully opened windows). The results were as follows: (1) A vortex formed inside the auditorium in the baseline scenario, and the airflow recirculation created a well-mixed zone with little variation in particle concentrations. There was a noticeable decrease in indoor PM 10 with the increasing distance from the inlet boundary due to turbulent diffusion. (2) Assuming that pollution sources were diluted through the inlet, average indoor particle concentrations rose exponentially with increasing oncoming wind speed. PM 10 changed most significantly due to turbulent diffusion and surface deposition reduction intensified by the increased wind velocity. (3) Increasing the window opening improved indoor cross-ventilation, thus reducing indoor particle concentrations. (4) When 2.87 m 3 /m 2 ≤ CVC ≤ 4.73 m 3 /m 2 , indoor PM 2.5 could meet requirements of the World Health Organization’s air quality guidelines (IT-3) for 24-hour mean concentrations; and (5) average indoor particle concentrations had positive correlations with natural ventilation rates ( R 2 = 0.9085, 0.961, 0.9683 for PM 1.0 , PM 2.5 , and PM 10 , respectively, when the wall porosity was 3.5%; R 2 = 0.9158, 0.9734, 0.976 for PM 1.0 , PM 2.5 , and PM 10 , respectively, when the wall porosity was 7.0%).

Keywords: trees; natural ventilation potential; computational fluid dynamics (CFD); particulate matter (PM 1.0 , PM 2.5 and PM 10 ); indoor air quality; auditorium (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
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