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The Relationship between Roadside PM Concentration and Traffic Characterization: A Case Study in Macao

Author

Listed:
  • Thomas M. T. Lei

    (Institute of Science and Environment, University of Saint Joseph, Macau, China)

  • Martin F. C. Ma

    (Institute of Science and Environment, University of Saint Joseph, Macau, China)

Abstract

Road transportation is a common mode of transport in Macao and is also known to be a significant source of the emission of PM 10 and PM 2.5 on a local and regional scale. There are six air quality monitoring stations (AQMS) evenly distributed throughout Macao, but some densely populated areas are currently not covered by the monitoring network. Therefore, a monitoring campaign was conducted at four roadside locations in Macao’s most densely populated areas. This work aims to study the concentrations of PM 10 and PM 2.5 in several roadside locations in Macao. The monitoring campaign was conducted for 24 non-consecutive periods, with a total of 192 monitoring hours. The sampling sites were chosen based on Macao’s most densely populated areas and the most traffic-congested locations. In addition, traffic characterization was performed alongside the monitoring campaign to provide a clearer perspective on the pollution sources. Based on the collected data, a correlation analysis was performed between the number of vehicles and the levels of PM 10 and PM 2.5 concentration. The results showed a weak relationship between the hourly traffic flow and the level of PM 10 and PM 2.5 concentrations, with a correlation of determination (R 2 ) of 0.001 to 0.122. In addition, the results showed a weak relationship between the vehicle types and the level of PM 10 and PM 2.5 concentrations, with an R 2 of 0.000 to 0.043. As shown, there is little to no relationship between local traffic volume and roadside PM concentration in the monitored locations of Macao, leading us to conclude that PM concentration is more likely tied to regional sources and meteorological conditions. Nevertheless, the complex geographical setting of Macao is also likely an influential factor in this study.

Suggested Citation

  • Thomas M. T. Lei & Martin F. C. Ma, 2023. "The Relationship between Roadside PM Concentration and Traffic Characterization: A Case Study in Macao," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10993-:d:1193324
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    References listed on IDEAS

    as
    1. Chenen Ma & Lina Madaniyazi & Yang Xie, 2021. "Impact of the Electric Vehicle Policies on Environment and Health in the Beijing–Tianjin–Hebei Region," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    2. Man Tat Lei & Joana Monjardino & Luisa Mendes & David Gonçalves & Francisco Ferreira, 2020. "Statistical Forecast of Pollution Episodes in Macao during National Holiday and COVID-19," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
    3. Yuan Shi & Edward Ng, 2017. "Fine-Scale Spatial Variability of Pedestrian-Level Particulate Matters in Compact Urban Commercial Districts in Hong Kong," IJERPH, MDPI, vol. 14(9), pages 1-16, September.
    4. Minyoung Roh & Seungho Jeon & Soontae Kim & Sha Yu & Almas Heshmati & Suduk Kim, 2020. "Modeling Air Pollutant Emissions in the Provincial Level Road Transportation Sector in Korea: A Case Study of the Zero-Emission Vehicle Subsidy," Energies, MDPI, vol. 13(15), pages 1-22, August.
    5. Vidhu Gupta & Lalita Bisht & Ajay Kumar Arya & Ajay Pratap Singh & Sneha Gautam, 2022. "Spatially Resolved Distribution, Sources, Exposure Levels, and Health Risks of Heavy Metals in <63 μm Size-Fractionated Road Dust from Lucknow City, North India," IJERPH, MDPI, vol. 19(19), pages 1-23, October.
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