Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8197
Authors: Harr, Lorenz
Sinsel, Tim
Simon, Helge
Esper, Jan
Title: Seasonal changes in urban PM2.5 hotspots and sources from low-cost sensors
Online publication date: 2-Nov-2022
Year of first publication: 2022
Language: english
Abstract: PM2.5 concentrations in urban areas are highly variable, both spatially and seasonally. To assess these patterns and the underlying sources, we conducted PM2.5 exposure measurements at the adult breath level (1.6 m) along three ~5 km routes in urban districts of Mainz (Germany) using portable low-cost Alphasense OPC-N3 sensors. The survey took place on five consecutive days including four runs each day (38 in total) in September 2020 and March 2021. While the between sensor accuracy was tested to be good (R2 = 0.98), the recorded PM2.5 values underestimated the official measurement station data by up to 25 µg/m3. The collected data showed no consistent PM2.5 hotspots between September and March. Whereas during the fall, the pedestrian and park areas appeared as hotspots in >60% of the runs, construction sites and a bridge with high traffic intensity stuck out in spring. We considered PM2.5/PM10 ratios to assign anthropogenic emission sources with high apportionment of PM2.5 in PM10 (>0.6), except for the parks (0.24) where fine particles likely originated from unpaved surfaces. The spatial PM2.5 apportionment in PM10 increased from September (0.56) to March (0.76) because of a pronounced cooler thermal inversion accumulating fine particles near ground. Our results showed that highly resolved low-cost measurements can help to identify PM2.5 hotspots and be used to differentiate types of particle sources via PM2.5/PM10 ratios.
DDC: 910 Geografie
910 Geography and travel
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 09 Chemie, Pharmazie u. Geowissensch.
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-8197
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Atmosphere
13
5
Pages or article number: 694
Publisher: MDPI
Publisher place: Basel
Issue date: 2022
ISSN: 2073-4433
Publisher DOI: 10.3390/atmos13050694
Appears in collections:DFG-491381577-G

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