Machine learning calibration of low-cost NO2 and PM10 sensors: non-linear algorithms and their impact on site transferability
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 co-locatio...
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| Veröffentlicht in: | Atmospheric measurement techniques Jg. 14; H. 8; S. 5637 - 5655 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Katlenburg-Lindau
Copernicus GmbH
18.08.2021
Copernicus Publications |
| Schlagworte: | |
| ISSN: | 1867-1381, 1867-8548 |
| Online-Zugang: | Volltext |
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