Mobile measurements for distribution and attribution of particulate matter in urban environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F23%3A00580042" target="_blank" >RIV/86652079:_____/23:00580042 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1352231023005903?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1352231023005903?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.atmosenv.2023.120164" target="_blank" >10.1016/j.atmosenv.2023.120164</a>
Alternative languages
Result language
angličtina
Original language name
Mobile measurements for distribution and attribution of particulate matter in urban environments
Original language description
Particulate matter (PM) sources differ in urban environments and may show spatiotemporal distinct patterns for varying particle aerodynamic diameters (D-P). We here assess such patterns using high-resolution PM <= 10 mu m data recorded with a cargo bike along a 14 km route through urban, suburban, and rural areas in Mainz (Germany). The measurements conducted twice a day between May and August 2021 reveal decreasing particle number concentration (PNC) with increasing DP including similar to 6000 times higher particle numbers at D-P 0.22-0.25 mu m compared to D-P 4-5 mu m. Total mass concentration is bi-modally distributed and dominated by particles <0.3 mu m and from 3 to 5 mu m representing 36 and 22% of the entire air load, respectively. PM concentrations in Mainz are significantly higher in the morning than in the afternoon, and PM1 and PM10 are 13 and 31% higher in urban compared to surrounding suburban and rural areas. The high-resolution measurements also revealed 30% higher PM concentrations at D-P 3-5 mu m in the urban compared to the rural sectors, which is indicative for road dust, brake and tyre abrasion as the main source. D-P distribution in rural hotspots is generally shifted toward larger particles >3 mu m, most likely related to natural dust from agricultural fields. These findings show that highresolution PM profiles can skillfully be recorded using bikes as mobile platform to identify spatial pollution patterns and attribute DP spectra to particular emission sources.
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
—
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Atmospheric Environment
ISSN
1352-2310
e-ISSN
1873-2844
Volume of the periodical
315
Issue of the periodical within the volume
DEC
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
120164
UT code for WoS article
001105339600001
EID of the result in the Scopus database
2-s2.0-85175042674