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A versatile low-cost sensing device for assessing PM_2.5 spatiotemporal variation and quantifying source contribution.

Shih-Chun Candice Lung¹, Wen-Cheng Vincent Wang², Tzu-Yao Julia Wen²

¹Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan; Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan; Institute of Environmental Health, National Taiwan University, Taipei, Taiwan.

The Science of the Total Environment

|February 20, 2020

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A new low-cost sensor, AS-LUNG-O, accurately measured fine particulate matter (PM2.5) in an Asian mountain community. The study highlights significant spatiotemporal variations and local sources impacting air quality and public health.

Area of Science:

Environmental Science
Air Quality Monitoring
Public Health

Background:

Particulate matter (PM2.5) poses significant health risks.
Accurate, localized air quality monitoring is crucial for understanding exposure.
Existing research-grade equipment can be expensive and cumbersome.

Purpose of the Study:

To evaluate the performance of a novel, low-cost sensing device (AS-LUNG-O) for PM2.5 monitoring.
To assess the spatiotemporal variations of PM2.5 at street level in an Asian mountain community.
To identify and quantify contributions of local sources to ambient PM2.5 concentrations.

Main Methods:

Laboratory and ambient validation of the AS-LUNG-O device against a research-grade GRIMM instrument.
Deployment of ten AS-LUNG-O units in a community for one month each in summer and winter.

Keywords:

Community air quality Community source evaluation Low-cost sensor PM micro-sensor Real-time PM(2.5) monitoring

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Regression analysis to determine source contributions and statistical analysis for spatiotemporal variations.

Main Results:

The AS-LUNG-O demonstrated high correlation (R² = 0.95 in lab, 0.93 ambient) and low difference (10%) compared to the GRIMM.
Significant daily and seasonal variations in PM2.5 were observed, with higher concentrations in December.
Traffic, markets, temples, and food vendors were identified as key local contributors to street-level PM2.5.

Conclusions:

The AS-LUNG-O is a precise and accurate low-cost sensor suitable for widespread environmental studies.
Understanding neighborhood-level air quality and source contributions is vital for public health protection.
The device's features, including solar power and data logging, support long-term monitoring and maintenance assessment.