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...

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Autores principales: Hone-Jay Chu, Muhammad Zeeshan Ali, Yu-Chen He
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/e38da898768745cdb73dad6712c677da
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