Articles | Volume 13, issue 11
https://doi.org/10.5194/amt-13-6343-2020
https://doi.org/10.5194/amt-13-6343-2020
Research article
 | 
26 Nov 2020
Research article |  | 26 Nov 2020

Assessing the accuracy of low-cost optical particle sensors using a physics-based approach

David H. Hagan and Jesse H. Kroll

Viewed

Total article views: 9,464 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,429 2,894 141 9,464 571 173 205
  • HTML: 6,429
  • PDF: 2,894
  • XML: 141
  • Total: 9,464
  • Supplement: 571
  • BibTeX: 173
  • EndNote: 205
Views and downloads (calculated since 24 Jun 2020)
Cumulative views and downloads (calculated since 24 Jun 2020)

Viewed (geographical distribution)

Total article views: 9,464 (including HTML, PDF, and XML) Thereof 8,938 with geography defined and 526 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Jan 2026
Download
Short summary
Assessing the error of low-cost particulate matter (PM) sensors has been difficult as each empirical study presents unique limitations. Here, we present a new, open-sourced, physics-based model (opcsim) and use it to understand how the properties of different particle sensors alter their accuracy. We offer a summary of likely sources of error for different sensor types, environmental conditions, and particle classes and offer recommendations for the choice of optimal calibrant.
Share