Articles | Volume 15, issue 13
Research article
08 Jul 2022
Research article |  | 08 Jul 2022

A study on the performance of low-cost sensors for source apportionment at an urban background site

Dimitrios Bousiotis, David C. S. Beddows, Ajit Singh, Molly Haugen, Sebastián Diez, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-84', Anonymous Referee #1, 28 Apr 2022
  • RC2: 'Comment on amt-2022-84', Anonymous Referee #2, 30 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Francis Pope on behalf of the Authors (12 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (24 May 2022) by Albert Presto
RR by Anonymous Referee #1 (25 May 2022)
ED: Publish subject to technical corrections (02 Jun 2022) by Albert Presto
AR by Francis Pope on behalf of the Authors (08 Jun 2022)  Author's response    Manuscript
Short summary
In the last decade, low-cost sensors have revolutionised the field of air quality monitoring. This paper extends the ability of low-cost sensors to not only measure air pollution, but also to understand where the pollution comes from. This "source apportionment" is a critical step in air quality management to allow for the mitigation of air pollution. The techniques developed in this paper have the potential for great impact in both research and industrial applications.