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Assessment of potential sediment contamination using screening methods (XRF, TGA/MS) taking into account principles of green chemistry, Eastern Slovakia
Title Assessment of potential sediment contamination using screening methods (XRF, TGA/MS) taking into account principles of green chemistry, Eastern Slovakia. [elektronický zdroj] Author Findoráková Lenka 1980 SAVGEOTE - Ústav geotechniky SAV ORCID Co-authors Šestinová Oľga 1959 SAVGEOTE - Ústav geotechniky SAV ORCID Kováčová Milota SAVGEOTE - Ústav geotechniky SAV ORCID Source document Environmental Earth Sciences. Vol. 76 (2017), p. 119 Language eng - English Country US - United States of America Document kind rozpis článkov z periodík (rzb) Citations DAVID, Jan - STEINMETZ, Zacharias - KUCERIK, Jiri - SCHAUMANN, Gabriele E. Quantitative Analysis of Poly(ethylene terephthalate) Microplastics in Soil via Thermogravimetry-Mass Spectrometry. In ANALYTICAL CHEMISTRY. ISSN 0003-2700, 2018, vol. 90, no. 15, pp. 8793-8799. GHANNEM, Samir - TOUAYLIA, Samir - BOUMAIZA, Moncef. Beetles (Insecta: Coleoptera) as bioindicators of the assessment of environmental pollution. In HUMAN AND ECOLOGICAL RISK ASSESSMENT. ISSN 1080-7039, 2018, vol. 24, no. 2, pp. 456-464. CHOPRA, Vivek - SHARMA, Jai Gopal. Assessment of elemental carbon, nitrogen, hydrogen and sulphur in alluvial sediments of river yamuna in delhi region. In Ecology, Environment and Conservation. ISSN 0971765X, 2020-11-01, 26, november Suppl. Issue, pp. S174-S181. Category ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2017 Registered in WOS Registered in SCOPUS Registered in CCC DOI 10.1007/s12665-017-6433-z 
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File name Access Size Downloaded Type License Findoráková ENG 2017.pdf Prístupný z IP adries SAV 897.1 KB 0 Publisher's version rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2017 2016 1.569 Q3 0.591 Q2
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