Monitoring road traffic participants' exposure to PM₁₀ using a low-cost system

Area of Science:

• Environmental Science
• Public Health
• Transportation Engineering

Background:

• Road traffic is a major source of urban air pollution, particularly particulate matter (PM10).
• Understanding real-time exposure levels for traffic participants is crucial for public health.
• Existing monitoring systems can be costly and may not capture dynamic exposure variations.

Purpose of the Study:

• To apply a low-cost system for monitoring road traffic participants' exposure to PM10 air pollution.
• To analyze the relationship between traffic flow, urban background PM10 concentration, and exposure levels.
• To assess the impact of traffic slowdowns on exposure duration and intensity.

Main Methods:

• Deployment of a low-cost PM10 monitoring system on a major road in Bielsko-Biała, Poland.
• Data collection on road traffic volume, travel times, and PM10 concentrations over a five-week period (August-October 2017).
• Analysis of daily variations in traffic patterns and their correlation with PM10 exposure.

Main Results:

• Significant daily variations in road traffic volume and travel times (up to 50% difference between directions) were observed.
• PM10 urban background concentrations fluctuated, more than doubling between the first and fifth weeks.
• Maximum exposure occurred at low urban background PM10, with traffic slowdowns increasing exposure time by 24-50% and up to 2.5 times in extreme delays.

Conclusions:

• Traffic slowdowns significantly increase participants' exposure to PM10, even under acceptable urban air quality conditions.
• Low-cost monitoring systems are effective for assessing dynamic air pollution exposure in traffic.
• Findings highlight the need to consider traffic dynamics in air quality management and health risk assessments.