Seasonal Changes in Urban PM2.5 Hotspots and Sources from Low-Cost Sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00558025" target="_blank" >RIV/86652079:_____/22:00558025 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2073-4433/13/5/694" target="_blank" >https://www.mdpi.com/2073-4433/13/5/694</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/atmos13050694" target="_blank" >10.3390/atmos13050694</a>
Alternative languages
Result language
angličtina
Original language name
Seasonal Changes in Urban PM2.5 Hotspots and Sources from Low-Cost Sensors
Original language description
PM2.5 concentrations in urban areas are highly variable, both spatially and seasonally. To assess these patterns and the underlying sources, we conducted PM 2.5 exposure measurements at the adult breath level (1.6 m) along three5 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 betweensensor accuracy was tested to be good (R-2 = 0.98), the recorded PM2.5 values underestimated the official measurement station data by up to 25 mu g/m(3). 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 PM 2.5 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
<a href="/en/project/EF16_019%2F0000797" target="_blank" >EF16_019/0000797: SustES - Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Atmosphere
ISSN
2073-4433
e-ISSN
2073-4433
Volume of the periodical
13
Issue of the periodical within the volume
5
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
694
UT code for WoS article
000801315300001
EID of the result in the Scopus database
2-s2.0-85129704741