About: Principal component analysis as a tool to indicate the origin of potentially toxic elements in soils     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Distinguishing between different sources of potentially toxic elements in soils can be difficult. This paper describes an application of principal component analysis (PCA) to distinguish between geogenic enrichment and anthropogenic pollution with Be, Cd, Co, Cr, Cu, Hg, Ni, Pb, and Zn at 14 localities in Northern and North-eastern Czech Republic. Element speciation, profile distribution, and local geology were used to facilitate interpretation of the PCA results. Of the total element contents in the topsoil and subsoil, a group of non-polluting elements, comprising Co, Cr, Cu, Ni, and Zn, was identified by PCA. There were more non-polluting elements in the subsoil than in the topsoil. The silicate-bound fraction was the most abundant in their speciation. They are likely to be mainly of geogenic origin, therefore. Beryllium also probably originated mainly from parent rocks. However, it had a closer relationship with geogenic Hg and Pb. Cadmium, Pb, and Hg showed strong topsoil enrichment. In
  • Distinguishing between different sources of potentially toxic elements in soils can be difficult. This paper describes an application of principal component analysis (PCA) to distinguish between geogenic enrichment and anthropogenic pollution with Be, Cd, Co, Cr, Cu, Hg, Ni, Pb, and Zn at 14 localities in Northern and North-eastern Czech Republic. Element speciation, profile distribution, and local geology were used to facilitate interpretation of the PCA results. Of the total element contents in the topsoil and subsoil, a group of non-polluting elements, comprising Co, Cr, Cu, Ni, and Zn, was identified by PCA. There were more non-polluting elements in the subsoil than in the topsoil. The silicate-bound fraction was the most abundant in their speciation. They are likely to be mainly of geogenic origin, therefore. Beryllium also probably originated mainly from parent rocks. However, it had a closer relationship with geogenic Hg and Pb. Cadmium, Pb, and Hg showed strong topsoil enrichment. In (en)
  • Distinguishing between different sources of potentially toxic elements in soils can be difficult. This paper describes an application of principal component analysis (PCA) to distinguish between geogenic enrichment and anthropogenic pollution with Be, Cd, Co, Cr, Cu, Hg, Ni, Pb, and Zn at 14 localities in Northern and North-eastern Czech Republic. Element speciation, profile distribution, and local geology were used to facilitate interpretation of the PCA results. Of the total element contents in the topsoil and subsoil, a group of non-polluting elements, comprising Co, Cr, Cu, Ni, and Zn, was identified by PCA. There were more non-polluting elements in the subsoil than in the topsoil. The silicate-bound fraction was the most abundant in their speciation. They are likely to be mainly of geogenic origin, therefore. Beryllium also probably originated mainly from parent rocks. However, it had a closer relationship with geogenic Hg and Pb. Cadmium, Pb, and Hg showed strong topsoil enrichment. In (cs)
Title
  • Principal component analysis as a tool to indicate the origin of potentially toxic elements in soils
  • Analýza hlavních komponent jako nástroj k určení původu potenciálně toxických prvků v půdách (cs)
  • Principal component analysis as a tool to indicate the origin of potentially toxic elements in soils (en)
skos:prefLabel
  • Principal component analysis as a tool to indicate the origin of potentially toxic elements in soils
  • Analýza hlavních komponent jako nástroj k určení původu potenciálně toxických prvků v půdách (cs)
  • Principal component analysis as a tool to indicate the origin of potentially toxic elements in soils (en)
skos:notation
  • RIV/60460709:41410/05:10748!RIV06-GA0-41410___
http://linked.open.../vavai/riv/strany
  • 289;300
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA526/02/1516), Z(MSM6046070901)
http://linked.open...iv/cisloPeriodika
  • 128
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 538438
http://linked.open...ai/riv/idVysledku
  • RIV/60460709:41410/05:10748
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Potentiallly toxic elements, Soil pollution, Principal component analysis, Geogenic origin (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [2D3C58B45F7B]
http://linked.open...i/riv/nazevZdroje
  • Geoderma
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 0
http://linked.open...iv/tvurceVysledku
  • Borůvka, Luboš
  • Jehlička, Jan
  • Vacek, Oldřich
http://linked.open...n/vavai/riv/zamer
issn
  • 0016-7061
number of pages
http://localhost/t...ganizacniJednotka
  • 41410
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software