Repository logo
 
Publication

Combining raw and compositional data to determine the spatial patterns of potentially toxic elements in soils

2018Journal article Open access
Simple item page
dc.contributor.authorBoente, Carlos
dc.contributor.authorAlbuquerque, M.T.D.
dc.contributor.authorFernández-Braña, A.
dc.contributor.authorGerassis, Saki
dc.contributor.authorSierra, C.
dc.contributor.authorGallego, J.R.
dc.date.accessioned2018-03-27T15:31:39Z
dc.date.available2020-08-31T00:30:10Z
dc.date.issued2018
dc.description.abstractWhen considering complex scenarios involving several attributes, such as in environmental characterization, a clearer picture of reality can be achieved through the dimensional reduction of data. In this context, maps facilitate the visualization of spatial patterns of contaminant distribution and the identification of enriched areas. A set, of 15 Potentially Toxic Elements (PTEs) – (As, Ba, Cd, Co, Cr, Cu, Hg,Mo, Ni, Pb, Sb, Se, Tl, V, and Zn), was measured in soil, collected in Langreo's municipality (80 km2), Spain. Relative enrichment (RE) is introduced here to refer to the proportion of elements present in a given context. Indeed, a novel approach is provided for research into PTE fate. This method involves studying the variability of PTE proportions throughout the study area, thereby allowing the identification of dissemination trends. Traditional geostatistical approaches commonly use raw data (concentrations) accepting that the elements analyzedmake up the entirety of the soil. However, in geochemical studies the analyzed elements are just a fraction of the total soil composition. Therefore, considering compositional data is pivotal. The spatial characterization of PTEs considering raw and compositional data together allowed a broad discussion about, not only the PTEs concentration's distribution but also to reckon possible trends of relative enrichment (RE). Transformations to open closed data are widely used for this purpose. Spatial patterns have an indubitable interest. In this study, the Centered Log-ratio transformation (clr) was used, followed by its back-transformation, to build a set of compositional data that, combined with raw data, allowed to establish the sources of the PTEs and trends of spatial dissemination.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBOENTE, C. [et al.] (2018) - Combining raw and compositional data to determine the spatial patterns of potentially toxic elements in soils. Science of The Total Environment. ISSN 0048-9697. Vol. 631–632, p. 1117-1126pt_PT
dc.identifier.doi10.1016/j.scitotenv.2018.03.048pt_PT
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/10400.11/6046
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation567 SFRH/BSAB/127907/2016pt_PT
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0048969718308039pt_PT
dc.subjectSoil pollutionpt_PT
dc.subjectPTEspt_PT
dc.subjectCompositional datapt_PT
dc.subjectOrdinary krigingpt_PT
dc.subjectLocal G-clusteringpt_PT
dc.subjectRelative enrichmentpt_PT
dc.titleCombining raw and compositional data to determine the spatial patterns of potentially toxic elements in soilspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1126pt_PT
oaire.citation.startPage1117pt_PT
oaire.citation.titleScience of the Total Environmentpt_PT
oaire.citation.volume631-632pt_PT
person.familyNameAlbuquerque
person.givenNameMaria Teresa
person.identifier.ciencia-id5A1C-8956-4C0A
person.identifier.orcid0000-0002-8782-6133
person.identifier.ridB-1536-2013
person.identifier.scopus-author-id55507421600
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione2c2d171-e148-4c23-9cf8-0eb6d810c15e
relation.isAuthorOfPublication.latestForDiscoverye2c2d171-e148-4c23-9cf8-0eb6d810c15e

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Combining_raw.pdf
Size:
1.32 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.02 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTCB - Artigos em revistas com arbitragem científica