Shittu, A.I., Pringle, K.J. orcid.org/0000-0003-2190-5258, Arnold, S.R. orcid.org/0000-0002-4881-5685 et al. (5 more authors) (2025) Performance evaluation of Atmotube PRO sensors for air quality measurements in an urban location. Atmospheric Measurement Techniques, 18 (3). pp. 817-828. ISSN 1867-1381
Abstract
This study presents a performance evaluation of eight Atmotube PRO sensors using US Environmental Protection Agency (US EPA) guidelines. The Atmotube PRO sensors were collocated side by side with a reference-grade Fidas monitor in an outdoor setting for a 14-week period in the city centre of Leeds, UK. We assessed the linearity and bias for PM₁, PM₂.₅, and PM₁₀. The result of the PM₂.₅ assessment showed the Atmotube PRO sensors had particularly good precision with a coefficient of variation (CoV) of 28 %, 18 %, and 15 % for PM₂.₅ data averaged every minute, hour, and day, respectively. The inter-sensor variability assessment showed two sensors with low bias and one sensor with a higher bias in comparison with the sensor average. Simple univariate analysis was sufficient to obtain good fitting quality to a Fidas reference-grade monitor (R²>0.7) at hourly averages, although poorer performance was observed using a higher time resolution of 15 min averaged PM₂.₅ data (R² of 0.48–0.53). The average error bias, root mean square error (RMSE), and normalized root mean square error (NRMSE) were 3.38 µg m⁻³ and 0.03 %, respectively. While there were negligible influences of temperature on Atmotube PRO-measured PM₂.₅ values, substantial positive biases (compared to a reference instrument) occurred at relative humidity (RH) values > 80 %. The Atmotube PRO sensors correlated well with the PurpleAir sensor (R² of 0.88, RMSE of 2.9 µg m⁻³). In general, the Atmotube PRO sensors performed well and passed the base-testing metrics as stipulated by recommended guidelines for low-cost PM₂.₅ sensors. Calibration using the multiple linear regression model was enough to improve the performance of the PM₂.₅ data of the Atmotube PRO sensors.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Funding Information: | Funder Grant number NIHR National Inst Health Research NIHR128833 UKRI (UK Research and Innovation) Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Feb 2025 12:24 |
Last Modified: | 17 Feb 2025 12:24 |
Status: | Published |
Publisher: | Copernicus |
Identification Number: | 10.5194/amt-18-817-2025 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:223404 |