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Spatial calibration and PM(2.5) mapping of low-cost air quality sensors
The data quality of low-cost sensors has received considerable attention and has also led to PM(2.5) warnings. However, the calibration of low-cost sensor measurements in an environment with high relative humidity is critical. This study proposes an efficient calibration and mapping approach based o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745024/ https://www.ncbi.nlm.nih.gov/pubmed/33328536 http://dx.doi.org/10.1038/s41598-020-79064-w |