Characterization of leaf-level particulate matter for an industrial city using electron microscopy and X-ray microanalysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00463136" target="_blank" >RIV/86652079:_____/16:00463136 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.scitotenv.2016.01.057" target="_blank" >http://dx.doi.org/10.1016/j.scitotenv.2016.01.057</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.scitotenv.2016.01.057" target="_blank" >10.1016/j.scitotenv.2016.01.057</a>

Result language
angličtina
Original language name
Characterization of leaf-level particulate matter for an industrial city using electron microscopy and X-ray microanalysis
Original language description
This study reports application of monitoring and characterization protocol for particulate matter (PM) deposited on tree leaves, using Quercus ilex as a case study species. The study area is located in the industrial city of Terni in central Italy, with high PM concentrations. Four trees were selected as representative of distinct pollution environments based on their proximity to a steel factory and a street. Wash off from leaves onto cellulose filters were characterized using scanning electron microscopy and energy dispersive X-ray spectroscopy, inferring the associations between particle sizes, chemical composition, and sampling location. Modeling of particle size distributions showed a tri-modal fingerprint, with the three modes centered at 0.6 (factory related), 1.2 (urban background), and 2.6 μm (traffic related). Chemical detection identified 23 elements abundant in the PM samples. Principal component analysis recognized iron and copper as source-specific PM markers, attributed mainly to industrial and heavy traffic pollution respectively. Upscaling these results on leaf area basis provided a useful indicator for strategic evaluation of harmful PM pollutants using tree leaves.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Project
<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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