Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.catena.2018.02.030 http://hdl.handle.net/11449/175997 |
Resumo: | Environmental impacts can be more accurately assessed with the aid of spatial characterization of potentially toxic elements (PTEs). In fact, developing cost-effective, environmentally friendly spatial characterization methods for PTEs can facilitate the expeditious, accurate, detailed diagnosis of soil in large areas. In this study, we used three geomorphic surfaces of Oxisols to assess the ability of chemical and X-ray diffraction analyses of iron oxides, diffuse reflectance spectroscopy (DRS) and magnetic susceptibility (MS) measurements to predict the contents in PTEs (Ba, Co, Cr, Cu, Mn, Mo, Ni, Pb and Zn) and their spatial variability. Magnetic susceptibility and diffuse reflectance spectroscopy allowed well-calibrated prediction models for Ba, Co, Cu, Mn and Ni to be developed, whereas DRS-calibrated methods afforded more accurate prediction of Ba and Mn contents, and magnetic susceptibility-calibrated methods of Co and Ni contents. The correlation between PTEs and free iron contents, and their spatial pattern, testifies to the goodness of the proposed methods for predicting the contents of potentially toxic elements in soils. |
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Repositório Institucional da UNESP |
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Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectraChemometricsGoethiteHeavy metalsHematitePedotransfer functionSpatial variabilityEnvironmental impacts can be more accurately assessed with the aid of spatial characterization of potentially toxic elements (PTEs). In fact, developing cost-effective, environmentally friendly spatial characterization methods for PTEs can facilitate the expeditious, accurate, detailed diagnosis of soil in large areas. In this study, we used three geomorphic surfaces of Oxisols to assess the ability of chemical and X-ray diffraction analyses of iron oxides, diffuse reflectance spectroscopy (DRS) and magnetic susceptibility (MS) measurements to predict the contents in PTEs (Ba, Co, Cr, Cu, Mn, Mo, Ni, Pb and Zn) and their spatial variability. Magnetic susceptibility and diffuse reflectance spectroscopy allowed well-calibrated prediction models for Ba, Co, Cu, Mn and Ni to be developed, whereas DRS-calibrated methods afforded more accurate prediction of Ba and Mn contents, and magnetic susceptibility-calibrated methods of Co and Ni contents. The correlation between PTEs and free iron contents, and their spatial pattern, testifies to the goodness of the proposed methods for predicting the contents of potentially toxic elements in soils.São Paulo State University (UNESP) Faculdade de Ciências Agrárias e Veterinárias Research Group CSME - Soil Characterization for Specific Management, Campus de Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, s/n°Departamento de Agronomía Universidad de Córdoba, Edificio C4, Campus de RabanalesLuiz de Queiroz College of Agriculture (ESALQ) University of Sao Paulo (USP), CP 09Agrarian Sciences Center University of Marília, Higyno Muzzy Filho Avenue, 1001São Paulo State University (UNESP) Faculdade de Ciências Agrárias e Veterinárias Research Group CSME - Soil Characterization for Specific Management, Campus de Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, s/n°Universidade Estadual Paulista (Unesp)Universidad de CórdobaUniversidade de São Paulo (USP)University of MaríliaCamargo, Livia Arantes [UNESP]Marques, José [UNESP]Barrón, VidalAlleoni, Luís Reynaldo FerracciúPereira, Gener Tadeu [UNESP]Teixeira, Daniel De BortoliBahia, Angélica Santos Rabelo de Souza [UNESP]2018-12-11T17:18:28Z2018-12-11T17:18:28Z2018-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article503-515application/pdfhttp://dx.doi.org/10.1016/j.catena.2018.02.030Catena, v. 165, p. 503-515.0341-8162http://hdl.handle.net/11449/17599710.1016/j.catena.2018.02.0302-s2.0-850433883372-s2.0-85043388337.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCatena1,246info:eu-repo/semantics/openAccess2024-06-07T14:24:06Zoai:repositorio.unesp.br:11449/175997Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:35:52.406953Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra |
title |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra |
spellingShingle |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra Camargo, Livia Arantes [UNESP] Chemometrics Goethite Heavy metals Hematite Pedotransfer function Spatial variability |
title_short |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra |
title_full |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra |
title_fullStr |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra |
title_full_unstemmed |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra |
title_sort |
Predicting potentially toxic elements in tropical soils from iron oxides, magnetic susceptibility and diffuse reflectance spectra |
author |
Camargo, Livia Arantes [UNESP] |
author_facet |
Camargo, Livia Arantes [UNESP] Marques, José [UNESP] Barrón, Vidal Alleoni, Luís Reynaldo Ferracciú Pereira, Gener Tadeu [UNESP] Teixeira, Daniel De Bortoli Bahia, Angélica Santos Rabelo de Souza [UNESP] |
author_role |
author |
author2 |
Marques, José [UNESP] Barrón, Vidal Alleoni, Luís Reynaldo Ferracciú Pereira, Gener Tadeu [UNESP] Teixeira, Daniel De Bortoli Bahia, Angélica Santos Rabelo de Souza [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidad de Córdoba Universidade de São Paulo (USP) University of Marília |
dc.contributor.author.fl_str_mv |
Camargo, Livia Arantes [UNESP] Marques, José [UNESP] Barrón, Vidal Alleoni, Luís Reynaldo Ferracciú Pereira, Gener Tadeu [UNESP] Teixeira, Daniel De Bortoli Bahia, Angélica Santos Rabelo de Souza [UNESP] |
dc.subject.por.fl_str_mv |
Chemometrics Goethite Heavy metals Hematite Pedotransfer function Spatial variability |
topic |
Chemometrics Goethite Heavy metals Hematite Pedotransfer function Spatial variability |
description |
Environmental impacts can be more accurately assessed with the aid of spatial characterization of potentially toxic elements (PTEs). In fact, developing cost-effective, environmentally friendly spatial characterization methods for PTEs can facilitate the expeditious, accurate, detailed diagnosis of soil in large areas. In this study, we used three geomorphic surfaces of Oxisols to assess the ability of chemical and X-ray diffraction analyses of iron oxides, diffuse reflectance spectroscopy (DRS) and magnetic susceptibility (MS) measurements to predict the contents in PTEs (Ba, Co, Cr, Cu, Mn, Mo, Ni, Pb and Zn) and their spatial variability. Magnetic susceptibility and diffuse reflectance spectroscopy allowed well-calibrated prediction models for Ba, Co, Cu, Mn and Ni to be developed, whereas DRS-calibrated methods afforded more accurate prediction of Ba and Mn contents, and magnetic susceptibility-calibrated methods of Co and Ni contents. The correlation between PTEs and free iron contents, and their spatial pattern, testifies to the goodness of the proposed methods for predicting the contents of potentially toxic elements in soils. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:18:28Z 2018-12-11T17:18:28Z 2018-06-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.catena.2018.02.030 Catena, v. 165, p. 503-515. 0341-8162 http://hdl.handle.net/11449/175997 10.1016/j.catena.2018.02.030 2-s2.0-85043388337 2-s2.0-85043388337.pdf |
url |
http://dx.doi.org/10.1016/j.catena.2018.02.030 http://hdl.handle.net/11449/175997 |
identifier_str_mv |
Catena, v. 165, p. 503-515. 0341-8162 10.1016/j.catena.2018.02.030 2-s2.0-85043388337 2-s2.0-85043388337.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Catena 1,246 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
503-515 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129340066496512 |