Articles | Volume 17, issue 10
https://doi.org/10.5194/amt-17-3303-2024
https://doi.org/10.5194/amt-17-3303-2024
Research article
 | 
31 May 2024
Research article |  | 31 May 2024

Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2

Kabseok Ko, Seokheon Cho, and Ramesh R. Rao

Cited articles

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Barkjohn, K. K., Bergin, M. H., Norris, C., Schauer, J. J., Zhang, Y., Black, M., Hu, M., and Zhang, J.: Using Lowcost sensors to Quantify the Effects of Air Filtration on Indoor and Personal Exposure Relevant PM2.5 Concentrations in Beijing, China, Aerosol Air Qual. Res., 20, 297–313, https://doi.org/10.4209/aaqr.2018.11.0394, 2020. a
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, https://doi.org/10.5194/amt-14-4617-2021, 2021. a, b, c, d, e
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Short summary
In our study, we examined how NO2, temperature, and relative humidity influence the calibration of PurpleAir PA-II sensors. We found that incorporating NO2 data from collocated reliable instruments enhances PM2.5 calibration performance. Due to the impracticality of collocating reliable NO2 instruments with sensors, we suggest using distant NO2 data for calibration. We demonstrated that performance improves when distant NO2 correlates highly with collocated NO2 measurements.
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