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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on amt-2022-292', JAMES OUIMETTE, 05 Dec 2022
    • CC2: 'Reply on CC1', Kerry Kelly, 09 Dec 2022
      • RC1: 'Reply on CC2', Shahrul Nadzir, 23 Dec 2022
        • AC2: 'Reply on RC1', Kerry Kelly, 19 Feb 2023
  • RC2: 'Comment on amt-2022-292', Anonymous Referee #3, 03 Feb 2023
    • AC1: 'Reply on RC2', Kerry Kelly, 09 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Kerry Kelly on behalf of the Authors (02 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (25 Apr 2023) by Paolo Laj
AR by Kerry Kelly on behalf of the Authors (28 Apr 2023)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Kerry Kelly on behalf of the Authors (22 May 2023)   Author's adjustment   Manuscript
EA: Adjustments approved (22 May 2023) by Paolo Laj
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 PM2.5 / 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 PM2.5 / PM10 ratios.