Articles | Volume 14, issue 11
Atmos. Meas. Tech., 14, 7369–7379, 2021
https://doi.org/10.5194/amt-14-7369-2021
Atmos. Meas. Tech., 14, 7369–7379, 2021
https://doi.org/10.5194/amt-14-7369-2021

Research article 25 Nov 2021

Research article | 25 Nov 2021

Evaluation methods for low-cost particulate matter sensors

Jeffrey K. Bean

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-154', Anonymous Referee #1, 17 Jul 2021
    • AC1: 'Reply on RC1', Jeffrey Bean, 10 Sep 2021
  • RC2: 'Comment on amt-2021-154', Anonymous Referee #2, 30 Jul 2021
    • AC2: 'Reply on RC2', Jeffrey Bean, 10 Sep 2021
  • RC3: 'Comment on amt-2021-154', Anonymous Referee #3, 01 Aug 2021
    • AC3: 'Reply on RC3', Jeffrey Bean, 10 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jeffrey Bean on behalf of the Authors (10 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (27 Sep 2021) by Pierre Herckes
RR by Anonymous Referee #2 (08 Oct 2021)
RR by Anonymous Referee #1 (14 Oct 2021)
ED: Publish as is (18 Oct 2021) by Pierre Herckes
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Short summary
Understanding and improving the quality of data generated from low-cost air quality sensors are crucial steps in using these sensors. This work investigates how averaging time, choice of reference instrument, and the observation of higher pollutant concentrations can impact the perceived performance of low-cost sensors in an evaluation. The influence of these factors should be considered when comparing one sensor to another or determining if a sensor can produce data that fit a specific need.