Personal measurements and sampling of particulate matter in a subway – Identification of hot-spots, spatio-temporal variability and sources of pollutants
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10468076" target="_blank" >RIV/00216208:11310/23:10468076 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vLW9eDGD36" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vLW9eDGD36</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.atmosenv.2023.119883" target="_blank" >10.1016/j.atmosenv.2023.119883</a>
Alternative languages
Result language
angličtina
Original language name
Personal measurements and sampling of particulate matter in a subway – Identification of hot-spots, spatio-temporal variability and sources of pollutants
Original language description
A mobile measurement system for complex characterization of particulate matter (PM) was developed together with the proposed methodology and applied in the subway system of Munich, Germany. The main objectives were to observe the spatio-temporal variability of PM, personal exposure, identify hot-spots and pollution sources. Particle mass (PMx) and number (PNC) concentrations, and equivalent black carbon (eBC) were measured at 0.1-1 Hz. On the U5 subway line, PM(10), PM(2.5) and PM(1) concentrations at platforms ranged from 59 to 220, 27-80, and 9-21 μg m(-3), respectively. During rides towards downtown, average PM(10), PM(2.5) and PM(1) levels gradually increased from 8 to 220, 2 to 71 and 2-20 μg m(-3), respectively, with a similar dynamic of decrease on the return journey. Spatial variability of PM was generally more important than temporal, and significant differences were observed between platforms. During the rides, air exchange between train and tunnel was high in both air-conditioned and old passively ventilated trains. Peak PM concentrations on platforms were associated with arriving/departing trains. Subway PNC were not significantly elevated, but a few cases of intake of traffic-related particles from outside were observed, otherwise air exchange was considered low. Generally, most of the aerosol mass was composed of iron corrosion products from rails and wheels (Fe up to 66 μg m(-3) in PM(2.5)). The effective density of PM(2.5) was 2.1 g cm(-3). Particles were classified as 75.4% iron oxides, 5.35% metallic Fe, 1.23% aluminosilicates and 17% carbon and oxygen rich particles. The iron oxide particles consisted predominantly of Fe (63.4 +/- 8.7 wt%) and O (36.2 +/- 8.2 wt%). To effectively monitor subway PM and reduce overall PM exposure, we propose to identify hot-spots using our methodology and focus on improving their ventilation, as well as installing filters in air-conditioned wagons.
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
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>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
308
Issue of the periodical within the volume
September
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
119883
UT code for WoS article
001053040200001
EID of the result in the Scopus database
2-s2.0-85161085429