Calibration and validation-based assessment of low-cost air quality sensors

Linear regression method is recommended as the preferred method for onsite calibration of LCSs, with caution advised when incorporating environmental factors due to increased uncertainty. Furthermore, when deploying LCSs, it is important to consider their varying responses to high or low pollutant concentrations.

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Publication Details

Journal
The Science of The Total Environment
Published
2025-04-15
DOI
https://doi.org/10.1016/j.scitotenv.2025.179364
Citations
5
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
4.00

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article

Calibration and validation-based assessment of low-cost air quality sensors

Priyadarsini Rajagopalan, Jierui Dong, Nigel Goodman, Andrew Carre
5 citations
The Science of The Total Environment
Air Quality Monitoring and Forecasting
4.00
article

Calibration and validation-based assessment of low-cost air quality sensors

Priyadarsini Rajagopalan, Jierui Dong, Nigel Goodman, Andrew Carre
article en
5 citations

Abstract

Linear regression method is recommended as the preferred method for onsite calibration of LCSs, with caution advised when incorporating environmental factors due to increased uncertainty. Furthermore, when deploying LCSs, it is important to consider their varying responses to high or low pollutant concentrations.

The Science of The Total EnvironmentVol. 977
RMIT University (AU)
National Health and Medical Research Council
Affordable and clean energy
Openalex Percentile: Top 7%
Air Quality Monitoring and Forecasting
4.00
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