Characterizing the effects of structural fires on fine particulate matter with a dense sensing network

Area of Science:

• Environmental Science
• Air Quality Monitoring
• Public Health

Background:

• Short-term air pollution spikes negatively impact health and productivity.
• Current regulatory monitoring lacks the fine-grained spatial and temporal resolution to detect localized pollution events.

Purpose of the Study:

• To assess the spatial and temporal impact of smoke from structural fires on local air quality using a dense sensor network.
• To characterize particulate matter (PM2.5) concentrations downwind versus upwind of fire events.

Main Methods:

• Deployment of over 100 low-cost sensors across Chicago to monitor air quality.
• Analysis of PM2.5 data from 21 large structural fire events over one year.
• Comparison of pollutant concentrations at varying distances downwind and upwind of fires.

Main Results:

• Elevated PM2.5 concentrations observed up to 5 km downwind of fires.
• Average PM2.5 increases of 10.7 µg/m³ within 2 km and 7.7 µg/m³ between 2-5 km downwind.
• Significant pollution levels persisted for approximately 2 hours on average.

Conclusions:

• Low-cost sensor networks effectively capture localized, short-term air pollution events like structural fires.
• Findings support the use of such networks for timely public health advisories.
• Improved monitoring can help protect vulnerable populations from acute pollution exposure.