Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5415-2023
https://doi.org/10.5194/amt-16-5415-2023
Research article
 | 
13 Nov 2023
Research article |  | 13 Nov 2023

Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data

Vijay Kumar, Dinushani Senarathna, Supraja Gurajala, William Olsen, Shantanu Sur, Sumona Mondal, and Suresh Dhaniyala

Viewed

Total article views: 1,789 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,402 324 63 1,789 117 56 48
  • HTML: 1,402
  • PDF: 324
  • XML: 63
  • Total: 1,789
  • Supplement: 117
  • BibTeX: 56
  • EndNote: 48
Views and downloads (calculated since 25 Apr 2023)
Cumulative views and downloads (calculated since 25 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,789 (including HTML, PDF, and XML) Thereof 1,674 with geography defined and 115 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
Low-cost sensors are becoming increasingly important in air quality monitoring due to their affordability and ease of deployment. While low-cost sensors have the potential to democratize air quality monitoring, their use must be accompanied by careful interpretation and validation of the data. Analysis of their long-term data record clearly shows that the reported data from low-cost sensors may not be equally sensitive to all emission sources, which can complicate policy-making.