Spatial calibration and PM2.5 mapping of low-cost air quality sensors
Abstract The data quality of low-cost sensors has received considerable attention and has also led to PM2.5 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...
Guardado en:
Autores principales: | Hone-Jay Chu, Muhammad Zeeshan Ali, Yu-Chen He |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/e38da898768745cdb73dad6712c677da |
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