Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah

Kaur, Kamaljeet; Kelly, Kerry E.

doi:https://doi.org/10.5194/amt-16-2455-2023

Articles | Volume 16, issue 10

https://doi.org/10.5194/amt-16-2455-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Dust aerosol measurements, modeling and multidisciplinary...

https://doi.org/10.5194/amt-16-2455-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 10

Research article

|

24 May 2023

Research article |

| 24 May 2023

Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah

Kamaljeet Kaur and Kerry E. Kelly

Supplement

https://doi.org/10.5194/amt-16-2455-2023-supplement

Data sets

Dataset for: Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah Kerry Kelly and Kamaljeet Kaur https://doi.org/10.7278/S50d-xbns-3ge3

Short summary

We evaluated the AlphaSense OPC-N3 and PMS5003 compared to federal equivalent method (FEM) PM₁₀ measurements in the Salt Lake Valley during five dust events. Before correction, the OPC-N3 agreed well, but the PMS PM₁₀ measurements correlated poorly with the FEM. After correcting the PMS with a PM_2.5 / PM₁₀ ratio-based factor, the PMS PM₁₀ correlations improved significantly. This suggests the possibility of better resolved spatial estimates of PM₁₀ using PMS measurements and PM_2.5 / PM₁₀ ratios.