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dc.contributor.authorAndráš, Peter, Jr.
dc.contributor.authorKrnáč, Jozef
dc.contributor.authorDadová, Jana
dc.contributor.authorMidula, Pavol
dc.date.accessioned2015-12-14T08:33:33Z
dc.date.available2015-12-14T08:33:33Z
dc.date.issued2015
dc.identifier.citationCarpathian Journal of Earth and Environmental Sciences. 2015, vol. 10, issue 4, p. 121-132.cs
dc.identifier.issn1842-4090
dc.identifier.issn1844-489X
dc.identifier.urihttp://hdl.handle.net/10084/110978
dc.descriptionČlánek je přístupný po bezplatné registraci na webu vydavatele.cs
dc.description.abstractFrom viewpoint of the risk estimation of heavy metal contamination in the mining country has great importance realisation of digital model of the landscape. It is necessary study the terraine inclination and bending, surface water runoff, potential and actual erosion because these characteristics have terminative influence on water percolation through the dump-field technogenous sediments and heavy metal contamination spreding. Modeling of these indicators enable state the risk of the country contamination as well as find the best solutions for the country remediation. The results at the Ľubietová deposit (area of Podlipa and Reiner dump-field) show that the terrain beneath the dumps is endangeret by erosion and heavy metal pollution contamination; much more at Podlipa area and only in limited extent in the surrounding of the Reiner dump-field area.cs
dc.language.isoencs
dc.publisherNorth University Center of Baia Mare, Faculty Mineral Resources & Environmentcs
dc.relation.ispartofseriesCarpathian Journal of Earth and Environmental Sciencescs
dc.relation.urihttp://www.ubm.ro/sites/CJEES/viewTopic.php?topicId=581cs
dc.titleVisualisation of heavy metal contamination risk estimation in the country at Podlipa and Reiner dump-fields at the abandoned Ľubietová Cu-Ag depositcs
dc.typearticlecs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume10cs
dc.description.issue4cs
dc.description.lastpage132cs
dc.description.firstpage121cs
dc.identifier.wos000363495300013


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