Articles | Volume 15, issue 11
Atmos. Meas. Tech., 15, 3315–3328, 2022
Atmos. Meas. Tech., 15, 3315–3328, 2022
Research article
03 Jun 2022
Research article | 03 Jun 2022

Development and evaluation of correction models for a low-cost fine particulate matter monitor

Brayden Nilson et al.

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Cited articles

Ardon-Dryer, K., Dryer, Y., Williams, J. N., and Moghimi, N.: Measurements of PM2.5 with PurpleAir under atmospheric conditions, Atmos. Meas. Tech., 13, 5441–5458,, 2020. 
Barkjohn, K. K., Gantt, B., and Clements, A. L.: Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor, Atmos. Meas. Tech., 14, 4617–4637,, 2021. 
BC Lung Association: State of the air 2019, (last access: 20 April 2021), 2019. 
British Columbia Ministry of Environment: The British Columbia Field Sampling Manual Part B Air and Air Emissions Testing, (last access: 10 August 2021), 2020. 
Bowe, B., Xie, Y., Yan, Y., and Al-Aly, Z.: Burden of Cause-Specific Mortality Associated With PM2.5 Air Pollution in the United States, JAMA Netw. Open, 2, 16 pp.,, 2019. 
Short summary
Correction models were developed using PurpleAir–Federal Equivalent Method (FEM) hourly fine particulate matter (PM2.5) observation colocation sites across North America (NA). These were evaluated in comparison with four existing models at an additional 15 NA colocation sites. This study provides a robust framework for the evaluation of low-cost PM2.5 sensor correction models using the Canadian AQHI+ system and presents an optimized general correction model for North American PA sensors.