Multi-storey cars increasing with population growth have excellent security and temporary park- ing for cars in big cities, which isn’t suitable for parking in the streets. The goals of this study are (1) to determine PM concentrations in the ZGP and (2) to investigate the effect of temperature and humidity on PM concentration in ZGP. This study measured the levels of emitted PM1, PM2.5, and PM10 by GRIMM EDM 107 laser dust monitor in a busy multi-storey parking garage located in Qom. Moreover, the relationship between microclimatic parameters and the contaminants mentioned above was investigated. Samples were collected in two stages in different spatiotemporal condi- tions, namely, the summer and autumn of 2017. The results indicate that during the sampling period, the daily mean ± standard deviation of PM10, PM2.5, and PM1 were 120.9 ± 90.6, 28.5 ± 10.4, and 10.8 ± 3.8 μg/m3, respectively. A decrease in pollution level was observed during the measurement pe- riod. During rush hours, the levels of particulate matter increased. Also, a significant positive relation- ship between indoor humidity and particle level was observed, while there was a meaningful, inverse relationship between temperature and particle level. The high PM concentration in the parking garage indicates the necessity of proper management and planning.

The links between microclimatic and particulate matter concentration in a multi-storey car parking: a case study iran

Fiore, Maria
2022

Abstract

Multi-storey cars increasing with population growth have excellent security and temporary park- ing for cars in big cities, which isn’t suitable for parking in the streets. The goals of this study are (1) to determine PM concentrations in the ZGP and (2) to investigate the effect of temperature and humidity on PM concentration in ZGP. This study measured the levels of emitted PM1, PM2.5, and PM10 by GRIMM EDM 107 laser dust monitor in a busy multi-storey parking garage located in Qom. Moreover, the relationship between microclimatic parameters and the contaminants mentioned above was investigated. Samples were collected in two stages in different spatiotemporal condi- tions, namely, the summer and autumn of 2017. The results indicate that during the sampling period, the daily mean ± standard deviation of PM10, PM2.5, and PM1 were 120.9 ± 90.6, 28.5 ± 10.4, and 10.8 ± 3.8 μg/m3, respectively. A decrease in pollution level was observed during the measurement pe- riod. During rush hours, the levels of particulate matter increased. Also, a significant positive relation- ship between indoor humidity and particle level was observed, while there was a meaningful, inverse relationship between temperature and particle level. The high PM concentration in the parking garage indicates the necessity of proper management and planning.
Indoor air pollution · Vertical parking · PM10 · PM2.5 · PM1
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11769/535738
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