Automated SEM/EDX imaging for the in-depth characterization of non-exhaust traffic emissions from the Munich subway system
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Automated SEM/EDX imaging for the in-depth characterization of non-exhaust traffic emissions from the Munich subway system
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Automated SEM/EDX imaging for the in-depth characterization of non-exhaust traffic emissions from the Munich subway system
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Science of the Total Environment
ISSN
0048-9697
e-ISSN
1879-1026
Svazek periodika
915
Číslo periodika v rámci svazku
March
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
13
Strana od-do
170008
Kód UT WoS článku
001162575100001
EID výsledku v databázi Scopus
2-s2.0-85182727661