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This study examines particulate matter (PM) trends and their relationship with motor vehicle numbers in a selected area. Air sampling using Dust Trax TM DRX Aerosol Monitor 8534 was conducted from 8 a.m. to 12 p.m. PM concentrations (PM1, PM2.5, PM10) showed similar distribution patterns, with levels starting low at 8 a.m., peaking at 10 a.m., and declining by 11 a.m. The average concentrations over 4 h were PM1: 0.054 mgm−3, PM2.5: 0.055 mg m−3, and PM10: 0.064 mg m−3. PM2.5 levels exceeded daily National Ambient Air Quality Standards, while PM10 levels were below. Weak correlations were found between PM concentrations and motor vehicle numbers (R = 0.154 for PM10, R = 0.157 for PM2.5, R = 0.152 for PM1). Overall, PM distribution trended similarly across all sizes, peaking at 10 a.m., and showing a positive but weak relationship with motor vehicle numbers. Future studies in other Malaysian regions could enhance understanding of traffic-related pollution.

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Relationship Between Traffic Density and Particulate Matter Concentrations

  • 章节

  • 发表日期：

    2025年

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  • Muhammad Farhan Afiq Mohd Aminuddin,
  • Siti Rohana Mohd Yatim,
  • Ahmad Firdaus Shafie,
  • Samsuri Abdullah,
  • Mohd Armi Abu Samah

摘要

This study examines particulate matter (PM) trends and their relationship with motor vehicle numbers in a selected area. Air sampling using Dust Trax TM DRX Aerosol Monitor 8534 was conducted from 8 a.m. to 12 p.m. PM concentrations (PM1, PM2.5, PM10) showed similar distribution patterns, with levels starting low at 8 a.m., peaking at 10 a.m., and declining by 11 a.m. The average concentrations over 4 h were PM1: 0.054 mgm−3, PM2.5: 0.055 mg m−3, and PM10: 0.064 mg m−3. PM2.5 levels exceeded daily National Ambient Air Quality Standards, while PM10 levels were below. Weak correlations were found between PM concentrations and motor vehicle numbers (R = 0.154 for PM10, R = 0.157 for PM2.5, R = 0.152 for PM1). Overall, PM distribution trended similarly across all sizes, peaking at 10 a.m., and showing a positive but weak relationship with motor vehicle numbers. Future studies in other Malaysian regions could enhance understanding of traffic-related pollution.