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Dataset Information

Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke.


ABSTRACT: PurpleAir particulate matter (PM) sensors are increasingly used in the United States and other countries for real-time air quality information, particularly during wildfire smoke episodes. Uncorrected PurpleAir data can be biased and may exhibit a nonlinear response at extreme smoke concentrations (>300 µg/m3). This bias and nonlinearity result in a disagreement with the traditional ambient monitoring network, leading to the public’s confusion during smoke episodes. These sensors must be evaluated during smoke-impacted times and then corrected for bias, to ensure that accurate data are reported. The nearby public PurpleAir sensor and monitor pairs were identified during the summer of 2020 and were used to supplement the data from collocated pairs to develop an extended U.S.-wide correction

SUBMITTER: Barkjohn KK 

PROVIDER: S-EPMC9784900 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature