Preprint Article Version 1 This version is not peer-reviewed

Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region

Václav Nevrlý
* ,
Michal Dostál
,
Petr Bitala
,
Vit Klecka
,
Jiří Sléžka
,
Pavel Polach
,
Katarína Nevrlá
,
Melánie Barabášová
,
Růžena Langová
,
Sarka Bernatikova
,
Barbora Martiníková
,
Michal Vašínek
,
Adam Nevrlý
,
Milan Lazecký
,
Jan Suchánek
,
Hana Chaloupecká
,
David Kiča
,
Jan Wild
Version 1 : Received: 2 October 2024 / Approved: 3 October 2024 / Online: 3 October 2024 (11:28:14 CEST)

How to cite: Nevrlý, V.; Dostál, M.; Bitala, P.; Klecka, V.; Sléžka, J.; Polach, P.; Nevrlá, K.; Barabášová, M.; Langová, R.; Bernatikova, S.; Martiníková, B.; Vašínek, M.; Nevrlý, A.; Lazecký, M.; Suchánek, J.; Chaloupecká, H.; Kiča, D.; Wild, J. Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region. Preprints 2024, 2024100258. https://doi.org/10.20944/preprints202410.0258.v1 Nevrlý, V.; Dostál, M.; Bitala, P.; Klecka, V.; Sléžka, J.; Polach, P.; Nevrlá, K.; Barabášová, M.; Langová, R.; Bernatikova, S.; Martiníková, B.; Vašínek, M.; Nevrlý, A.; Lazecký, M.; Suchánek, J.; Chaloupecká, H.; Kiča, D.; Wild, J. Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region. Preprints 2024, 2024100258. https://doi.org/10.20944/preprints202410.0258.v1

Abstract

This study examines the varying performance of low-cost sensors during seasonal smog events, particularly those resulting from solid fuel combustion linked to residential or industrial heating and other pollution sources. A prototype low-cost sensor node developed within this work was collocated for several months with reference equipment at an air quality monitoring station in the city of Ostrava (Moravian-Silesian region, Czech Republic). Deterioration of air quality during a pair of smog alert events, namely wintertime "Polish smog" episode and springtime "Saharan dust storm", which occurred through the extended period of co-location, was characterized quantitatively based on particulate matter and carbon monoxide concentrations measured by the low-cost sensors. These datasets were compared with reference data and model predictions provided by the Copernicus Atmospheric Monitoring Service. Selected low-cost sensors demonstrated linear response during Polish smog episode with highly correlated time series of carbon monoxide and particulate matter concentrations. However, when compared to reference data, the Sensirion SPS30 sensor is found to overestimate coarse particle (PM10) concentrations by the factor of two during winter evaluation period. On the other hand, oppositely biased PM10 response (underestimation by the factor of five) was determined from co-location measurement during Saharan dust storm event. This observation was attributed to combination of specific detection efficiency of the given low-cost sensor and shifts in particle size distribution due to seasonal change of ambient conditions.

Keywords

air quality; low-cost sensors; Polish smog; Saharan dust storm; linear regression

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download PDF

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Get PDF Cite Share 0
Bookmark BibSonomy Mendeley Reddit Delicious
×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.