Articles | Volume 19, issue 3
https://doi.org/10.5194/amt-19-1077-2026
https://doi.org/10.5194/amt-19-1077-2026
Research article
 | 
16 Feb 2026
Research article |  | 16 Feb 2026

Correction of PM2.5 underestimation in low-cost sensors under elevated dust loading using only sensor measurements

Kamaljeet Kaur, Tristalee Mangin, and Kerry E. Kelly

Viewed

Total article views: 2,393 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,646 622 125 2,393 267 84 84
  • HTML: 1,646
  • PDF: 622
  • XML: 125
  • Total: 2,393
  • Supplement: 267
  • BibTeX: 84
  • EndNote: 84
Views and downloads (calculated since 06 Nov 2025)
Cumulative views and downloads (calculated since 06 Nov 2025)

Viewed (geographical distribution)

Total article views: 2,393 (including HTML, PDF, and XML) Thereof 2,335 with geography defined and 58 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 31 May 2026
Download
Short summary
We improved the accuracy of low-cost particulate matter sensor (PMS5003/6003) measurements under dust-dominated conditions common in arid regions. By applying sensor-specific particle mass ratios and a relative humidity cutoff, dust-influenced measurements were identified and PM2.5 concentrations corrected, reducing bias by ~ 50 % relative to regulatory monitors. This method enables real-time PM2.5 correction where reference data are unavailable.
Share