Évaluation des performances d’un analyseur à faible coût pour la mesure des aérosols (PM10) dans l’écosystème de savane humide de la station géophysique de LAMTO, Côte d’Ivoire
Abstract
Performance evaluation of a low-cost analyzer for aerosol (PM10) measurement in the humid savanna ecosystem of the LAMTO Geophysical Station, Côte d'Ivoire
The present study aims to evaluate the performance of the low-cost AirQino sensor for measuring PM10 particle concentrations in a humid savannah environment at the Lamto geophysical station (Côte d'Ivoire). A 40-day measurement campaign was conducted in co-location with a reference instrument (TEOM). The raw results show a moderate and significant correlation between AirQino and TEOM measurements (r = 0.51; R² = 0.26), with a tendency to underestimate concentrations (NMB = -34.3%). The root mean square error (RMSE = 12.15 µg/m³) and the mean absolute error (MAE = 8.51 µg/m³) highlight significant data variability. The coefficient of variation of the mean absolute error (CVMAE = 45.2%) is indicative of limited accuracy, a phenomenon that is likely influenced by high relative humidity. To address these biases, several multivariate calibration models were tested. The most effective models (Model 1 and Model 2), which include meteorological variables (T, RH) and pollutants (CO, NO₂, O₃), significantly enhanced performance (r = 0.77; R² = 0.60; RMSE reduced to 7.57 µg/m³; CVMAE ≈ 28%; bias ≈ 0%). These findings confirm the vital role of environmental factors in measurement accuracy. Therefore, although AirQino cannot replace reference instruments without prior calibration, it provides a reliable alternative for spatiotemporal PM10 monitoring, as long as it is calibrated to the local environment using suitable models.
https://doi.org/10.70974/mat09125122
Keywords
References
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