Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification
Concentrations of various particulate matter (PM) in urban areas have attracted great attention, due to the increasing demand on life quality. Many studies have highlighted the spatial variability of PM<sub>2.5</sub> in urban areas, and found that there are significant differences betwee...
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doaj-f4c796b3a5af4050b11f83221dc0a59a2021-03-30T04:14:45ZengIEEEIEEE Access2169-35362020-01-01819761719762910.1109/ACCESS.2020.30344899241769Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field VerificationYu-Lun Chiang0https://orcid.org/0000-0001-9911-6772Jen-Cheng Wang1https://orcid.org/0000-0002-8004-1683Chih-Hong Sun2https://orcid.org/0000-0001-8677-4020Tzai-Hung Wen3https://orcid.org/0000-0002-9151-8336Jehn-Yih Juang4https://orcid.org/0000-0002-7890-0696Joe-Air Jiang5https://orcid.org/0000-0001-9886-1404Department of Biomechatronics Engineering, National Taiwan University, Taipei, TaiwanDepartment of Biomechatronics Engineering, National Taiwan University, Taipei, TaiwanDepartment of Geography, National Taiwan University, Taipei, TaiwanDepartment of Geography, National Taiwan University, Taipei, TaiwanDepartment of Geography, National Taiwan University, Taipei, TaiwanDepartment of Biomechatronics Engineering, National Taiwan University, Taipei, TaiwanConcentrations of various particulate matter (PM) in urban areas have attracted great attention, due to the increasing demand on life quality. Many studies have highlighted the spatial variability of PM<sub>2.5</sub> in urban areas, and found that there are significant differences between residents' exposure and background levels. Different from the strategy of establishing large-scale Airbox stations or utilizing mobile stations with portable instruments to measure residents' exposures, this study develops an on-vehicle monitoring system (OVMS), which is based on the technology of Internet of Things, to increase the spatial resolution of the monitoring data in an economical way. The parameters measured by the OVMS include PM<sub>2.5</sub>, time, location, moving speed, ambient temperature, and relative humidity. According to the experimental results, the effects of the moving speed of the OVMS on PM<sub>2.5</sub> measurements are negligible (r =0.024), when the moving speed is below 57 km/hr. The correlation between the dynamic measurements provided by the OVMS and a standard instrument is high (r =0.601). These results show that the OVMS can accurately monitor PM<sub>2.5</sub> as it moves. The data of PM<sub>2.5</sub> obtained by the OVMS also reveal the impacts of traffic and community pollution in urban areas on residents' exposure. In addition, this study proposes a visualized map that shows real-time PM<sub>2.5</sub> measurements as the OVMS travels. Map users can choose a less-polluted path to get to their destinations based on the PM<sub>2.5</sub> information. In addition, the OVMS measurements can be integrated with the Airbox measurements, so the visualized map can provide detailed spatial interpolation results on PM<sub>2.5</sub> exposures. Thus, the OVMS can be a great help in evaluating the PM<sub>2.5</sub> levels in certain areas of urban streets where Airbox stations are not installed.https://ieeexplore.ieee.org/document/9241769/Internet of Thingson-vehicle monitoring systemPM₂.₅residents’ exposure |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yu-Lun Chiang Jen-Cheng Wang Chih-Hong Sun Tzai-Hung Wen Jehn-Yih Juang Joe-Air Jiang |
spellingShingle |
Yu-Lun Chiang Jen-Cheng Wang Chih-Hong Sun Tzai-Hung Wen Jehn-Yih Juang Joe-Air Jiang Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification IEEE Access Internet of Things on-vehicle monitoring system PM₂.₅ residents’ exposure |
author_facet |
Yu-Lun Chiang Jen-Cheng Wang Chih-Hong Sun Tzai-Hung Wen Jehn-Yih Juang Joe-Air Jiang |
author_sort |
Yu-Lun Chiang |
title |
Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification |
title_short |
Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification |
title_full |
Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification |
title_fullStr |
Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification |
title_full_unstemmed |
Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification |
title_sort |
mobile measurement of particulate matter concentrations on urban streets: system development and field verification |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Concentrations of various particulate matter (PM) in urban areas have attracted great attention, due to the increasing demand on life quality. Many studies have highlighted the spatial variability of PM<sub>2.5</sub> in urban areas, and found that there are significant differences between residents' exposure and background levels. Different from the strategy of establishing large-scale Airbox stations or utilizing mobile stations with portable instruments to measure residents' exposures, this study develops an on-vehicle monitoring system (OVMS), which is based on the technology of Internet of Things, to increase the spatial resolution of the monitoring data in an economical way. The parameters measured by the OVMS include PM<sub>2.5</sub>, time, location, moving speed, ambient temperature, and relative humidity. According to the experimental results, the effects of the moving speed of the OVMS on PM<sub>2.5</sub> measurements are negligible (r =0.024), when the moving speed is below 57 km/hr. The correlation between the dynamic measurements provided by the OVMS and a standard instrument is high (r =0.601). These results show that the OVMS can accurately monitor PM<sub>2.5</sub> as it moves. The data of PM<sub>2.5</sub> obtained by the OVMS also reveal the impacts of traffic and community pollution in urban areas on residents' exposure. In addition, this study proposes a visualized map that shows real-time PM<sub>2.5</sub> measurements as the OVMS travels. Map users can choose a less-polluted path to get to their destinations based on the PM<sub>2.5</sub> information. In addition, the OVMS measurements can be integrated with the Airbox measurements, so the visualized map can provide detailed spatial interpolation results on PM<sub>2.5</sub> exposures. Thus, the OVMS can be a great help in evaluating the PM<sub>2.5</sub> levels in certain areas of urban streets where Airbox stations are not installed. |
topic |
Internet of Things on-vehicle monitoring system PM₂.₅ residents’ exposure |
url |
https://ieeexplore.ieee.org/document/9241769/ |
work_keys_str_mv |
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