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dc.contributor.authorPavlíková, Irena
dc.contributor.authorMotyka, Oldřich
dc.contributor.authorPlášek, Vítězslav
dc.contributor.authorBitta, Jan
dc.date.accessioned2022-05-04T09:53:56Z
dc.date.available2022-05-04T09:53:56Z
dc.date.issued2021
dc.identifier.citationApplied Sciences. 2021, vol. 11, issue 17, art. no. 8262.cs
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10084/146111
dc.description.abstractFeatured Application The findings of this study can be applied in monitoring of atmospheric deposition of heavy metals and nitrogen on a local scale in order to better understand the pollution distribution in the surroundings of a local pollution source, especially in the context of the interpretation of the results respecting the principle's compositional data analyses. A biomonitoring study using terrestrial mosses was performed in the vicinity of an Integrated Iron and Steel plant near the Czech-Polish border. Moss samples were collected in two seasons (June, October) in order to embrace the effect of the heating season on the pollution levels. The contents of metals (Al, V, Cr, Mn, Fe, Ni, Cu, Zn, Cd, Pb, As, Sb and Hg) were determined using the Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP-AES), Atomic Absorption Spectroscopy (AAS) and contents of N, C, H via elemental analysis. The influence of the proximity of the factory, the heating season and modelled concentrations of particulate matter <10 mu m (PM10) on determined concentrations of elements were studied via multivariate statistical methods using clr-transformed data. This approach led to the first-time demonstration that not only the distance from the industrial source but also the sampling season and PM10 concentrations significantly affect the elemental content in mosses; the association of the emissions from the source and the determined concentrations of elements in moss samples were more evident outside the heating season (October). The analyses of transformed data revealed the association of Fe, Cr, V, As and Al with the coarse particles and their dominant spatial distribution depending on the prevailing wind directions. The spatial distribution of Mn, Zn and Cd, which are carried by fine particles, appears to depend more on atmospheric dispersion and long-range transport, and, thus, these metals should be considered weak markers of the pollution load in the close surroundings of an industrial source.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesApplied Sciencescs
dc.relation.urihttps://doi.org/10.3390/app11178262cs
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectair pollutioncs
dc.subjectbiomonitoringcs
dc.subjectmosscs
dc.subjectiron plantcs
dc.subjectsteel plantcs
dc.subjectseasonal variationcs
dc.subjectcompositional data analysiscs
dc.subjectcentered-log ratio transformationcs
dc.subjectTřineccs
dc.subjectCzechiacs
dc.titleMonitoring of heavy metals and nitrogen concentrations in mosses in the vicinity of an integrated iron and steel plant: Case study in Czechiacs
dc.typearticlecs
dc.identifier.doi10.3390/app11178262
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume11cs
dc.description.issue17cs
dc.description.firstpageart. no. 8262cs
dc.identifier.wos000694173000001


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.