Evaluating the suitability of different environmental samples for tracing atmospheric pollution in industrial areas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A70381" target="_blank" >RIV/60460709:41330/17:70381 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.envpol.2016.09.062" target="_blank" >http://dx.doi.org/10.1016/j.envpol.2016.09.062</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.envpol.2016.09.062" target="_blank" >10.1016/j.envpol.2016.09.062</a>
Alternative languages
Result language
angličtina
Original language name
Evaluating the suitability of different environmental samples for tracing atmospheric pollution in industrial areas
Original language description
Samples of lichens, snow and particulate matter PM10, 24 h are used for the source identification of air pollution in the heavily industrialized region of Ostrava, Upper Silesia, Czech Republic. An integrated approach that uses different environmental samples for metal concentration and Pb isotope analyses was applied. The broad range of isotope ratios in the samples indicates a combination of different pollution sources, the strongest among them being the metallurgical industry,bituminous coal combustion and traffic. Snow samples are proven as the most relevant indicator for tracing metal(loid)s and recent local contamination in the atmosphere. Lichens can be successfully used as tracers of the long term activity of local and remote sources of contamination. The combination of PM10 with snow can provide very useful information for evaluation of current pollution sources. Snow samples compared to lichens and PM10 are relevant markers for atmospheric pollution. Snow cover prevents resuspension, only
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
<a href="/en/project/7F14330" target="_blank" >7F14330: A new methodological approach for identification of industrial pollution: Isotope fingerprinting and bacterial community changes</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Pollution
ISSN
0269-7491
e-ISSN
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Volume of the periodical
2017
Issue of the periodical within the volume
220
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
286-297
UT code for WoS article
000390736700031
EID of the result in the Scopus database
2-s2.0-84994432306