Pilot-study on airborne PM 2.5  filtration with particle accelerated collision technology in office environments

Araji, Mohamad T.; Ray, Steve; Leung, Luke K.‐P.

doi:10.1016/j.scs.2016.08.023

Cited by 16 publications

(8 citation statements)

References 32 publications

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“…A database compiling indoor concentrations in office buildings was developed by including the results from 69 studies 19,21,25‐91 . Of these, 12 are reports from the French air quality monitoring network 55‐59,63‐67,70,71 .…”

Section: Methodsmentioning

confidence: 99%

Indoor air pollutant health prioritization in office buildings

2020

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This work presents an original method to identify priority indoor air pollutants in office buildings. It uses both a chronic risk assessment approach by calculating a hazard quotient, and a hazard classification method based on carcinogenic, mutagenic, reprotoxic, and endocrine disruptive effects. A graphical representation of the results provides a comprehensive and concise visualization of all of the information, including the number of buildings where each substance was measured, an indicator of exposure data robustness. Seventy-one out of 342 substances (20%) for which indoor air concentrations have already been measured in office buildings were identified as priority pollutants. The results were compared to previous prioritization studies in various types of indoor environments to assess the reliability of the method and highlight its advantages. Sensitivity analyses were performed to reduce the geographical scope (OECD countries only), time scope (after 2010 only), and measurement duration (working hours only) and showed little influence on the results. Finally, 123 additional substances that could be present in office indoor air but could not be assessed due to the lack of measurement data are proposed for future monitoring surveys to update the prioritization of indoor air pollutants in offices.

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Section: Methodsmentioning

confidence: 99%

Indoor air pollutant health prioritization in office buildings

2020

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“…to convert the particle number concentration to the particle mass concentration in this study. The conversion formula has been widely applied by many scholars and validated to provide a bridge between particle number concentration and mass concentration (Tuch et al, 2000;Wittmaack, 2002;Tittarelli et al, 2008;Araji et al, 2016;Zhai and Albritton, 2020). It is defined as follows:…”

Section: Sampling Equipmentmentioning

confidence: 99%

“…𝐷𝐷 𝑝𝑝 𝑖𝑖 is the particle diameter in every category and 𝜌𝜌 is the particle density. As suggested by many references (Tittarelli et al, 2008;Araji et al, 2016;Zhai and Albritton, 2020), the algorithm used to transform particle numbers to mass assumes particles are spherical and have a density of 1.65 g/cm 3 . For each category, the mean dimeter is obtained, that is, 𝐷𝐷 𝑝𝑝 0.3−0.49 = 0.4 μ𝑚𝑚, 𝐷𝐷 𝑝𝑝 0.5−0.99 = 0.75 μ𝑚𝑚, 𝐷𝐷 𝑝𝑝 1−1.99 = 1.5 μ𝑚𝑚, 𝐷𝐷 𝑝𝑝 2−4.99 = 3.5 μ𝑚𝑚 , 𝐷𝐷 𝑝𝑝 5−9.99 = 7.5 μ𝑚𝑚 (Araji et al, 2016;Zhai and Albritton, 2020).…”

Section: Sampling Equipmentmentioning

confidence: 99%

Particulate matter exposure at a densely populated urban traffic intersection and crosswalk

Gao

2021

Environmental Pollution

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“…A consequence of this that has caused particular concern is that commuting by subway substantially increases people's personal exposure to inhalable particulate matter. Coarse particulate matter can become trapped in the trachea and bronchi of humans, resulting in it either being swallowed or discharged from the respiratory system via coughing (Araji, 2017). According to the sizes, particulates can be subdivided into coarse particulate (PM10 > 2.5 microns), ne particulate (PM2.5 > 0.1 microns) and ultra ne particulate (PM < 0.1 microns).…”

Section: Introductionmentioning

confidence: 99%

The characteristics of particulate matter in different subway station environmental control systems in Beijing

Wang

Xia

Pei

et al. 2021

Preprint

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The characteristics of inhalable particulate matter (PM2.5, PM10) in urban subway stations can have a major impact on passengers’ health. Existing research largely fails to focus on different environmental control systems and there are few studies focused on different pollution conditions. This study therefore focused on measuring and comparing the characteristics of PM2.5 and PM10 at subway stations with three control systems in Beijing different pollution conditions. Stations including three types of control system (open, closed and screen door) and outside were monitored and analyzed using a general linear model. The concentration of PM2.5 and PM10 at different locations, such as on platforms, in carriages and in working areas, was compared and analyzed under different external pollution conditions. The results show that at different environment control systems the characteristics of PM2.5 and PM10 are different. The concentrations of particles in closed system are generally higher than screen system at platform. While the pollution in carriage is heavier for open system than that of screen system. The PM2.5/PM10 ratio was 91%, 90% and 83.84% at closed, open and screen system, respectively. While, the PM2.5 and PM10 levels inside the stations were strongly correlated with the outdoor conditions regardless of the environmental control system. This is the first study to show the PM concentration characteristics for different subway environmental control systems. As such, it provides a solid foundation for air clean studies at subway stations with different control systems.

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Pilot-study on airborne PM 2.5 filtration with particle accelerated collision technology in office environments

Cited by 16 publications

References 32 publications

Indoor air pollutant health prioritization in office buildings

Indoor air pollutant health prioritization in office buildings

Particulate matter exposure at a densely populated urban traffic intersection and crosswalk

The characteristics of particulate matter in different subway station environmental control systems in Beijing

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