Automated SEM/EDX imaging for the in-depth characterization of non-exhaust traffic emissions from the Munich subway system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F24%3A10473908" target="_blank" >RIV/00216208:11310/24:10473908 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Tn.hXpeyhc" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Tn.hXpeyhc</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.scitotenv.2024.170008" target="_blank" >10.1016/j.scitotenv.2024.170008</a>
Alternative languages
Result language
angličtina
Original language name
Automated SEM/EDX imaging for the in-depth characterization of non-exhaust traffic emissions from the Munich subway system
Original language description
A SEM/EDX based automated measurement and classification algorithm was tested as a method for the in-depth analysis of micro -environments in the Munich subway using a custom build mobile measurements system. Sampling was conducted at platform stations, to investigate the personal exposure of commuters to subway particulate matter during platform stays. EDX spectra and morphological features of all analyzed particles were automatically obtained and particles were automatically classified based on pre -defined chemical and morphological boundaries. Source apportionment for individual particles, such as abrasion processes at the wheel -brake interface, was partially possible based on the established particle classes. An average of 98.87 +/- 1.06 % of over 200,000 analyzed particles were automatically assigned to the pre -defined classes, with 84.68 +/- 16.45 % of particles classified as highly ferruginous. Manual EDX analysis further revealed, that heavy metal rich particles were also present in the ultrafine size range well below 100 nm.
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Science of the Total Environment
ISSN
0048-9697
e-ISSN
1879-1026
Volume of the periodical
915
Issue of the periodical within the volume
March
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
13
Pages from-to
170008
UT code for WoS article
001162575100001
EID of the result in the Scopus database
2-s2.0-85182727661