Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study. (January 2020)

• Record Type: Journal Article
• Authors: Zusman, Marina; Schumacher, Cooper S.; Gassett, Amanda J.; Spalt, Elizabeth W.; Austin, Elena; Larson, Timothy V.; Carvlin, Graeme; Seto, Edmund; Kaufman, Joel D.; Sheppard, Lianne
• Is Part Of: Environment international. Volume 134(2020)
• Publication Date: 2020-01
• Subjects: Low-cost monitors (LCM) -- Calibration -- Air pollution -- Fine particulate matter -- Multicenter study design -- Air quality system network (AQS); Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2019.105329
• Languages: English
• ISSNs: 0160-4120

Abstract

Highlights: Low-cost sensors for fine particulate are appealing for use in epidemiology. Different sensors have different performance characteristics. With adequate calibration and caveats, one model's results are precise and reliable. Calibration should be performed cautiously, preferably using region-specific model. Low-cost sensors may be useful for exposure assessment in epidemiological studies. Abstract: Low-cost air monitoring sensors are an appealing tool for assessing pollutants in environmental studies. Portable low-cost sensors hold promise to expand temporal and spatial coverage of air quality information. However, researchers have reported challenges in these sensors′ operational quality. We evaluated the performance characteristics of two widely used sensors, the Plantower PMS A003 and Shinyei PPD42NS, for measuring fine particulate matter compared to reference methods, and developed regional calibration models for the Los Angeles, Chicago, New York, Baltimore, Minneapolis-St. Paul, Winston-Salem and Seattle metropolitan areas. Duplicate Plantower PMS A003 sensors demonstrated a high level of precision (averaged Pearson′s r = 0.99), and compared with regulatory instruments, showed good accuracy (cross-validated R 2 = 0.96, RMSE = 1.15 µg/m 3 for daily averaged PM2.5 estimates in the Seattle region). Shinyei PPD42NS sensor results had lower precision (Pearson′s r = 0.84) and accuracy (cross-validated R 2 = 0.40, RMSE = 4.49 µg/m 3 ). Region-specific Plantower PMS A003 models, calibrated with regulatory instruments and adjusted for temperature and relative humidity, demonstrated acceptable performance metrics for daily average measurements in the other six regions (R 2 = 0.74–0.95, RMSE = 2.46–0.84 µg/m 3 ). Applying the Seattle model to the other regions resulted in decreased performance (R 2 = 0.67–0.84, RMSE = 3.41–1.67 µg/m 3 ), likely due to differences in meteorological conditions and particle sources. We describe an approach to metropolitan region-specific calibration models for low-cost sensors that can be used with caution for exposure measurement in epidemiological studies.