Preprints
https://doi.org/10.5194/egusphere-2024-1222
https://doi.org/10.5194/egusphere-2024-1222
04 Jul 2024
 | 04 Jul 2024
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Measurement report: TURBAN observation campaign combining street-level low-cost air quality sensors and meteorological profile measurements in Prague

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

Abstract. Within the TURBAN project, a "Legerova campaign" focusing on air quality and meteorology in the traffic-loaded part of the Prague city (Czech Republic) was carried out from 30 May 2022 to 28 March 2023. The network comprised of 20 combined low-cost sensor (LCS) stations for NO2, O3, PM10 and PM2.5 concentrations, along with a mobile meteorological mast, a single-channel microwave radiometer and Doppler LIDAR for measurement of vertical temperature and wind profiles. Significant individual deviations of LCSs were detected during the 165 day initial field test of all units at the urban background Prague 4-Libuš reference station (coefficient of variation 17–28 %). Implementing the Multivariate Adaptive Regression Splines method for correction reduced the LCS inter-individual variability and improved correlation with reference monitors in all pollutants (R2 0.88–0.97). The LCSs' data drifts and ageing were checked by the double mass curve method for the entire measurement period. During the Legerova campaign, the highest NO2 concentrations were in traffic-loaded street canyons with continuous building blocks and several traffic lights. Aerosol pollution showed very little variation between the monitored streets. The highest PM10 and PM2.5 concentrations were recorded during temperature inversions and an episode involving pollution transported from a large forest fire in northern Czech Republic in July 2022. This report provides valuable data to support the validation of various predictive models dealing with complex urban environment, such as microscale LES model PALM tested in the TURBAN project.

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

Status: open (until 19 Aug 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Petra Bauerová, Josef Keder, Adriana Šindelářová, Ondřej Vlček, William Patiño, Jaroslav Resler, Pavel Krč, Jan Geletič, Hynek Řezníček, Martin Bureš, Kryštof Eben, Michal Belda, Jelena Radović, Vladimír Fuka, Radek Jareš, and Igor Ezau

Data sets

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 Petra Bauerová et al. https://doi.org/10.5281/zenodo.10655032

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

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Short summary
We implemented an observation campaign focused on street-level air quality and vertical meteorological profile measurement in Prague using low-cost sensors and remote sensing devices. Low-cost sensors have undergone long-term field testing, own data correction and drift evaluation procedures. A high level of NO2 pollution was confirmed due to the traffic load in streets, peaks of aerosol pollution appeared more under inversion conditions. The data will be further used for PALM model validation.