Comparison of Sensors for Air Quality Monitoring with Reference Methods in Zagreb, Croatia

Within the scope of “Eco Map of Zagreb” project, eight sensor sets (type AQMeshPod) were set up at an automatic measuring station at the Institute for Medical Research and Occupational Health (IMROH) for comparison with reference methods for air quality measurement during 2018. This station is a city background station within the Zagreb network for air quality monitoring, where measurements of SO2, CO, NO2, O3, PM10 and PM2.5, are performed using standardized methods accredited according to EN ISO/IEC 17025. This paper presents a comparison of pollutant mass concentrations determined by sensors with reference methods. The data were compared and filtered to remove outliers and handle deviations between the results obtained by sensors and reference methods, considering the different approaches to gas and PM data. A comparison of sensor results with the reference methods showed a large scattering of all gaseous pollutants while the comparison for PM10 and PM2.5 indicated a satisfactory low dispersion. The results of a regression analysis showed a significant seasonal dependence for all pollutants. Significant statistical differences between the reference methods and sensors for the whole year and in all seasons for all gas pollutants, as well as for PM10, were observed, while for PM2.5 statistical significance showed varying results.

Authors

Institutions

Publication Details

Journal
Atmosphere
Published
2025-04-18
DOI
https://doi.org/10.3390/atmos16040472
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Sensors for Air Quality Monitoring with Reference Methods in Zagreb, Croatia

Silvije Davila, Ivana Hrga, Gordana Pehnec, Ivan Bešlić et al.
1 citations
Atmosphere
Air Quality Monitoring and Forecasting
0.80
article

Comparison of Sensors for Air Quality Monitoring with Reference Methods in Zagreb, Croatia

Silvije Davila, Ivana Hrga, Gordana Pehnec, Ivan Bešlić, Marko Marić, Marija Jelena Lovrić Štefiček
article en
1 citations

Abstract

Within the scope of “Eco Map of Zagreb” project, eight sensor sets (type AQMeshPod) were set up at an automatic measuring station at the Institute for Medical Research and Occupational Health (IMROH) for comparison with reference methods for air quality measurement during 2018. This station is a city background station within the Zagreb network for air quality monitoring, where measurements of SO2, CO, NO2, O3, PM10 and PM2.5, are performed using standardized methods accredited according to EN ISO/IEC 17025. This paper presents a comparison of pollutant mass concentrations determined by sensors with reference methods. The data were compared and filtered to remove outliers and handle deviations between the results obtained by sensors and reference methods, considering the different approaches to gas and PM data. A comparison of sensor results with the reference methods showed a large scattering of all gaseous pollutants while the comparison for PM10 and PM2.5 indicated a satisfactory low dispersion. The results of a regression analysis showed a significant seasonal dependence for all pollutants. Significant statistical differences between the reference methods and sensors for the whole year and in all seasons for all gas pollutants, as well as for PM10, were observed, while for PM2.5 statistical significance showed varying results.

AtmosphereVol. 16(4)
Andrija Stampar Teaching Institute of Public Health (HR), Institute for Medical Research and Occupational Health (HR), Institute of Public Health Zadar (HR)
HORIZON EUROPE Framework Programme, European Regional Development Fund
Openalex Percentile: Top 30%
Air Quality Monitoring and Forecasting
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.