Articles | Volume 17, issue 6
https://doi.org/10.5194/amt-17-1651-2024
https://doi.org/10.5194/amt-17-1651-2024
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

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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.