Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5415-2023
https://doi.org/10.5194/amt-16-5415-2023
Research article
 | 
13 Nov 2023
Research article |  | 13 Nov 2023

Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data

Vijay Kumar, Dinushani Senarathna, Supraja Gurajala, William Olsen, Shantanu Sur, Sumona Mondal, and Suresh Dhaniyala

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Cited articles

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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. a, b, c, d, e
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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, f, g
Bi, J., Wildani, A., Chang, H. H., and Liu, Y.: Incorporating low-cost sensor measurements into high-resolution PM2.5 modeling at a large spatial scale, Environ. Sci. Technol., 54, 2152–2162, 2020. a
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Short summary
Low-cost sensors are becoming increasingly important in air quality monitoring due to their affordability and ease of deployment. While low-cost sensors have the potential to democratize air quality monitoring, their use must be accompanied by careful interpretation and validation of the data. Analysis of their long-term data record clearly shows that the reported data from low-cost sensors may not be equally sensitive to all emission sources, which can complicate policy-making.
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