The present state of low-cost air quality sensors in Japan and their accuracy

The Sustainable Development Goals (SDGs) emphasise the importance of clean air (SDG 3 and SDG 11.6). Japan faces challenges in air quality prediction, especially in rural areas, because of the absence of a climate-specific calibration model and limited deployment of low-cost sensors. Our study compa...

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Bibliographic Details
Published inInternational journal of environmental studies Vol. 81; no. 4; pp. 1665 - 1683
Main Author Lassalle, Michael W.
Format Journal Article
LanguageEnglish
Published New York Routledge 03.07.2024
Gordon and Breach Science Publishers
Subjects
Air quality
AQI
AQM
Calibration
Climate prediction
correlation
Low cost
Particulate matter
PM2.5
Rural areas
SDGs
Self-assembly
Sensors
Sustainable development
Weather stations
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Summary:The Sustainable Development Goals (SDGs) emphasise the importance of clean air (SDG 3 and SDG 11.6). Japan faces challenges in air quality prediction, especially in rural areas, because of the absence of a climate-specific calibration model and limited deployment of low-cost sensors. Our study compared three sensor types: low-cost pre-assembled and pre-calibrated sensors (PurpleAir); self-assembled low-cost sensors (Citizen Science Project); and highly accurate weather stations, focusing on PM2.5 values. Linear and generalised linear mixed models show potential for low-cost sensor calibration.
ISSN:0020-7233
1029-0400
DOI:10.1080/00207233.2024.2358716