City-scale calibration of a low-cost PM2.5 network for regulatory-compliant air-quality assessment

This study presents the calibration and performance analysis of a low-cost sensor (LCS) network for monitoring particulate matter with diameters ≤ 2.5 µm (PM 2.5 ) in Bucharest, Romania. The InfoAer network comprised 44 Clarity Node-S sensors deployed across the city. The performance of sensors was evaluated against reference measurements from the National Environmental Protection Agency (NEPA) regulatory monitoring stations. The manufacturer’s pre-calibration significantly underestimated PM 2.5 concentrations, particularly during the summer months, when meteorological conditions favor the formation of secondary aerosols. Nine spatial clusters with collocated InfoAer-NEPA measurements were identified, with one designated for calibration model development and the remaining eight for independent validation. Multiple seasonal calibration models were developed using temperature, relative humidity, and nitrogen dioxide as predictor variables in a multiple linear regression formulation. Calibration performance was compromised during hot, dry conditions, when PM 2.5 concentrations were typically low, likely due to reduced aerosol scattering efficiency and increased measurement uncertainty. Using only temperature and relative humidity as predictors, the optimal model, selected via a two-step calibration process, substantially improved measurement accuracy. Pearson correlation coefficients improved from 0.06 to 0.65 and from −0.28 to 0.89 for the dry and humid seasons, respectively. However, considerable inter-sensor variability in calibration performance was observed, indicating the need for additional meteorological or chemical parameters in future calibration algorithms. Application of the calibration model to the entire InfoAer network revealed significant air quality violations across Bucharest. On average, calibrated sensors recorded more than 60 days of exceedances of the European Union’s daily PM 2.5 limit value (25 μg m −3 ) per year, which far exceeded the permitted frequency of 35 exceedances per year. Prior to calibration, only 8 of 44 sensors (18%) exceeded this threshold; post-calibration analysis revealed violations at all monitoring locations. These results demonstrated the critical importance of proper LCS calibration for accurately assessing regulatory compliance and protecting public health.

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Publication Details

Journal
PLOS Climate
Published
2026-02-13
DOI
https://doi.org/10.1371/journal.pclm.0000780
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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article

City-scale calibration of a low-cost PM2.5 network for regulatory-compliant air-quality assessment

Nicoleta Stefu, Robert Blaga, Chang-Hoi Ho, Sneha Gautam
PLOS Climate
Air Quality Monitoring and Forecasting
article

City-scale calibration of a low-cost PM2.5 network for regulatory-compliant air-quality assessment

Nicoleta Stefu, Robert Blaga, Chang-Hoi Ho, Sneha Gautam
article en

Abstract

This study presents the calibration and performance analysis of a low-cost sensor (LCS) network for monitoring particulate matter with diameters ≤ 2.5 µm (PM 2.5 ) in Bucharest, Romania. The InfoAer network comprised 44 Clarity Node-S sensors deployed across the city. The performance of sensors was evaluated against reference measurements from the National Environmental Protection Agency (NEPA) regulatory monitoring stations. The manufacturer’s pre-calibration significantly underestimated PM 2.5 concentrations, particularly during the summer months, when meteorological conditions favor the formation of secondary aerosols. Nine spatial clusters with collocated InfoAer-NEPA measurements were identified, with one designated for calibration model development and the remaining eight for independent validation. Multiple seasonal calibration models were developed using temperature, relative humidity, and nitrogen dioxide as predictor variables in a multiple linear regression formulation. Calibration performance was compromised during hot, dry conditions, when PM 2.5 concentrations were typically low, likely due to reduced aerosol scattering efficiency and increased measurement uncertainty. Using only temperature and relative humidity as predictors, the optimal model, selected via a two-step calibration process, substantially improved measurement accuracy. Pearson correlation coefficients improved from 0.06 to 0.65 and from −0.28 to 0.89 for the dry and humid seasons, respectively. However, considerable inter-sensor variability in calibration performance was observed, indicating the need for additional meteorological or chemical parameters in future calibration algorithms. Application of the calibration model to the entire InfoAer network revealed significant air quality violations across Bucharest. On average, calibrated sensors recorded more than 60 days of exceedances of the European Union’s daily PM 2.5 limit value (25 μg m −3 ) per year, which far exceeded the permitted frequency of 35 exceedances per year. Prior to calibration, only 8 of 44 sensors (18%) exceeded this threshold; post-calibration analysis revealed violations at all monitoring locations. These results demonstrated the critical importance of proper LCS calibration for accurately assessing regulatory compliance and protecting public health.

PLOS ClimateVol. 5(2)
Sustainable cities and communities
Openalex Percentile: Top 62%
Air Quality Monitoring and Forecasting
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