Machine learning calibration of low-cost NO<sub>2</sub> and PM<sub>10</sub> sensors: non-linear algorithms and their impact on site transferability

<p>Low-cost air pollution sensors often fail to attain sufficient performance compared with state-of-the-art measurement stations, and they typically require expensive laboratory-based calibration procedures. A repeatedly proposed strategy to overcome these limitations is calibration through c...

Full description

Bibliographic Details
Main Authors: P. Nowack, L. Konstantinovskiy, H. Gardiner, J. Cant
Format: Article
Language:English
Published: Copernicus Publications 2021-08-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/14/5637/2021/amt-14-5637-2021.pdf

Similar Items