Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 17
Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5129-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-5129-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 17
Research article
 | 
05 Sep 2024
Research article |  | 05 Sep 2024

Spatial analysis of PM2.5 using a concentration similarity index applied to air quality sensor networks

Rósín Byrne, John C. Wenger, and Stig Hellebust

Viewed

Total article views: 587 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
376 165 46 587 47 30 26
  • HTML: 376
  • PDF: 165
  • XML: 46
  • Total: 587
  • Supplement: 47
  • BibTeX: 30
  • EndNote: 26
Views and downloads (calculated since 04 Apr 2024)
Cumulative views and downloads (calculated since 04 Apr 2024)

Viewed (geographical distribution)

Total article views: 587 (including HTML, PDF, and XML) Thereof 555 with geography defined and 32 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Sep 2024
Download
Short summary
This study presents the concentration similarity index (CSI) for a quantitative and robust comparison of PM2.5 measurements within air quality sensor networks. Developed and tested on two Irish sensor networks, the CSI revealed real spatial variations in PM2.5 and enables assessment of the representativeness of regulatory monitoring locations. It underscores the impact of solid fuel combustion on PM2.5 and highlights the importance of wintertime data for accurate exposure assessments.
Read more