Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 6
Articles | Volume 17, issue 6
https://doi.org/10.5194/amt-17-1651-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-1651-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 6
Research article
 | 
19 Mar 2024
Research article |  | 19 Mar 2024

Hybrid instrument network optimization for air quality monitoring

Nishant Ajnoti, Hemant Gehlot, and Sachchida Nand Tripathi

Viewed

Total article views: 2,296 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,767 458 71 2,296 82 96
  • HTML: 1,767
  • PDF: 458
  • XML: 71
  • Total: 2,296
  • BibTeX: 82
  • EndNote: 96
Views and downloads (calculated since 13 Sep 2023)
Cumulative views and downloads (calculated since 13 Sep 2023)

Viewed (geographical distribution)

Total article views: 2,296 (including HTML, PDF, and XML) Thereof 2,296 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Nov 2025
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
This research focuses on the optimal placement of hybrid instruments (sensors and monitors) to maximize satisfaction function considering population, PM2.5 concentration, budget, and other factors. Two algorithms are developed in this study: a genetic algorithm and a greedy algorithm. We tested these algorithms on various regions. The insights of this work aid in quantitative placement of air quality monitoring instruments in large cities, moving away from ad hoc approaches.
Read more
Share