Articles | Volume 14, issue 6
Atmos. Meas. Tech., 14, 4617–4637, 2021
https://doi.org/10.5194/amt-14-4617-2021
Atmos. Meas. Tech., 14, 4617–4637, 2021
https://doi.org/10.5194/amt-14-4617-2021

Research article 22 Jun 2021

Research article | 22 Jun 2021

Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor

Karoline K. Barkjohn et al.

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Cited articles

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Al-Thani, H., Koç, M., and Isaifan, R. J.: A review on the direct effect of particulate atmospheric pollution on materials and its mitigation for sustainable cities and societies, Environ. Sci. Pollut. R., 25, 27839–27857, https://doi.org/10.1007/s11356-018-2952-8, 2018. 
Apte, J. S., Marshall, J. D., Cohen, A. J., and Brauer, M.: Addressing Global Mortality from Ambient PM2.5, Environ. Sci. Technol., 49, 8057–8066, https://doi.org/10.1021/acs.est.5b01236, 2015. 
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, https://doi.org/10.5194/amt-13-5441-2020, 2020. 
Barkjohn, K. K.: Dataset Development and Application of a United States wide correction for PM2.5 data collected with the PurpleAir sensor, U.S. EPA Office of Research and Development (ORD) [Data set], https://doi.org/10.23719/1522388, 2021. 
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Short summary
Although widely used, air sensor measurements are often biased. In this work we develop a correction with a relative humidity term that reduces the bias and improves consistency between different United States regions. This correction equation, along with proposed data cleaning criteria, has been applied to PurpleAir PM2.5 measurements across the US on the AirNow Fire and Smoke Map and has the potential to be successfully used in other air quality and public health applications.