Articles | Volume 25, issue 8
https://doi.org/10.5194/acp-25-4477-2025
https://doi.org/10.5194/acp-25-4477-2025
Measurement report
 | 
24 Apr 2025
Measurement report |  | 24 Apr 2025

Measurement report: A complex street-level air quality observation campaign in a heavy-traffic area utilizing the multivariate adaptive regression splines method for field calibration of low-cost sensors

Petra Bauerová, Josef Keder, Adriana Šindelářová, Ondřej Vlček, William Patiño, Pavel Krč, Jan Geletič, Hynek Řezníček, Martin Bureš, Kryštof Eben, Michal Belda, Jelena Radović, Vladimír Fuka, Radek Jareš, Igor Esau, and Jaroslav Resler

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Subject: Gases | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Cited articles

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Bauerová, P., Šindelářová, A., Rychlík, Š., Novák, Z., and Keder, J.: Low-cost air quality sensors: One-year field comparative measurement of different gas sensors and particle counters with reference monitors at Tušimice Observatory, Atmosphere, 11, 492, https://doi.org/10.3390/atmos11050492, 2020. 
Bauerová, P., Keder, J., Šindelářová, A., Vlček, O., Patiño, W., Resler, J., Krč, P., Geletič, J., Řezníček, H., Bureš, M., Eben, K., Belda, M., Radović, J., Fuka, V., Jareš, R., and Esau, I.: TURDATA: a database of low-cost air quality and remote sensing measurements for the validation of micro-scale models in the real Prague urban environments (0.1), Zenodo [data set], https://doi.org/10.5281/zenodo.10655032, 2024. 
Bulot, F. M. J., Russell, H. S., Rezaei, M., Johnson, M. S., Ossont, S. J. J., Morris, A. K. R., Basford, P. J., Easton, N. H. C., Foster, G. L., Loxham, M., and Cox, S. J.: Laboratory comparison of low-cost particulate matter sensors to measure transient events of pollution, Sensors, 20, 2219, https://doi.org/10.3390/s20082219, 2020. 
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The study explored urban air quality in Prague using low-cost sensors and highlighted the multivariate adaptive regression splines (MARS) correction method's effectiveness in enhancing accuracy. Results showed traffic's impact on nitrogen dioxide levels and atmospheric dynamics on particulate matter. The research confirmed MARS-corrected sensors as cost-effective for monitoring, despite challenges like sensor ageing and data quality control.
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