Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements

Autores
Torres Astorga, Romina Vanesa; de los Santos Villalobos, Sergio; Domínguez Quintero, Olgioly; Velasco, Ricardo Hugo; Meigikos dos Anjos, R.; Dercon, Gerd
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Sediment transport and the associated deposition process are key environmental problems in the semi-arid center of Argentina where the agricultural frontier and new land uses grow at the expense of native vegetation. Using sediment source fingerprinting techniques could be a way of identifying hot spots critiques of land degradation. In this research we explore the use of natural elements in soil to identify sedimentary sources in a small basin in the province of San Luis, Argentina. Soil samples were collected in different points of the basin, representing different land use (source samples) and sediments samples were taken along the stream (mixed samples). Concentrations of possible fingerprint elements were measured using EDXRF technique. Additionally, multivariate PLS analysis was applied to the infrared spectral data of the samples. With the aim of validate the procedure, two artificial mixtures were made up with known proportions of source samples. Fingerprints elements were identified obtaining with them a very good reconstruction of the source proportions in the artificial mixtures. DRIFT-MIRS PLS analysis shows a good correlation between MIRS spectra and the identified fingerprint elements.
Fil: Torres Astorga, Romina Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: de los Santos Villalobos, Sergio. Consejo Nacional de Ciencia y Tecnología; México
Fil: Domínguez Quintero, Olgioly. Universidad Central de Venezuela; Venezuela
Fil: Velasco, Ricardo Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: Meigikos dos Anjos, R.. Universidade Federal Fluminense; Brasil
Fil: Dercon, Gerd. Organismo Internacional de Energía Atómica; Austria
3rd Biotechnology Summit
Obregon
México
Instituto Tecnológico de Sonora
Materia
SOIL SEDIMENT
FINGERPRINTS
EDXFR
MIRS
MIXING MODELS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/243847
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/243847
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elementsTorres Astorga, Romina Vanesade los Santos Villalobos, SergioDomínguez Quintero, OlgiolyVelasco, Ricardo HugoMeigikos dos Anjos, R.Dercon, GerdSOIL SEDIMENTFINGERPRINTSEDXFRMIRSMIXING MODELShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Sediment transport and the associated deposition process are key environmental problems in the semi-arid center of Argentina where the agricultural frontier and new land uses grow at the expense of native vegetation. Using sediment source fingerprinting techniques could be a way of identifying hot spots critiques of land degradation. In this research we explore the use of natural elements in soil to identify sedimentary sources in a small basin in the province of San Luis, Argentina. Soil samples were collected in different points of the basin, representing different land use (source samples) and sediments samples were taken along the stream (mixed samples). Concentrations of possible fingerprint elements were measured using EDXRF technique. Additionally, multivariate PLS analysis was applied to the infrared spectral data of the samples. With the aim of validate the procedure, two artificial mixtures were made up with known proportions of source samples. Fingerprints elements were identified obtaining with them a very good reconstruction of the source proportions in the artificial mixtures. DRIFT-MIRS PLS analysis shows a good correlation between MIRS spectra and the identified fingerprint elements.Fil: Torres Astorga, Romina Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; ArgentinaFil: de los Santos Villalobos, Sergio. Consejo Nacional de Ciencia y Tecnología; MéxicoFil: Domínguez Quintero, Olgioly. Universidad Central de Venezuela; VenezuelaFil: Velasco, Ricardo Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; ArgentinaFil: Meigikos dos Anjos, R.. Universidade Federal Fluminense; BrasilFil: Dercon, Gerd. Organismo Internacional de Energía Atómica; Austria3rd Biotechnology SummitObregonMéxicoInstituto Tecnológico de SonoraCentro de Investigación y de Estudios Avanzados del I.P.N.2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/243847Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements; 3rd Biotechnology Summit; Obregon; México; 2016; 266-271978-607-9023-41-6CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.itson.mx/eventos/biotechnologysummit/Documents/041116_MemoryBS16.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:40:16Zoai:ri.conicet.gov.ar:11336/243847instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:40:16.406CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
title Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
spellingShingle Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
Torres Astorga, Romina Vanesa
SOIL SEDIMENT
FINGERPRINTS
EDXFR
MIRS
MIXING MODELS
title_short Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
title_full Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
title_fullStr Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
title_full_unstemmed Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
title_sort Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements
dc.creator.none.fl_str_mv Torres Astorga, Romina Vanesa
de los Santos Villalobos, Sergio
Domínguez Quintero, Olgioly
Velasco, Ricardo Hugo
Meigikos dos Anjos, R.
Dercon, Gerd
author Torres Astorga, Romina Vanesa
author_facet Torres Astorga, Romina Vanesa
de los Santos Villalobos, Sergio
Domínguez Quintero, Olgioly
Velasco, Ricardo Hugo
Meigikos dos Anjos, R.
Dercon, Gerd
author_role author
author2 de los Santos Villalobos, Sergio
Domínguez Quintero, Olgioly
Velasco, Ricardo Hugo
Meigikos dos Anjos, R.
Dercon, Gerd
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv SOIL SEDIMENT
FINGERPRINTS
EDXFR
MIRS
MIXING MODELS
topic SOIL SEDIMENT
FINGERPRINTS
EDXFR
MIRS
MIXING MODELS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Sediment transport and the associated deposition process are key environmental problems in the semi-arid center of Argentina where the agricultural frontier and new land uses grow at the expense of native vegetation. Using sediment source fingerprinting techniques could be a way of identifying hot spots critiques of land degradation. In this research we explore the use of natural elements in soil to identify sedimentary sources in a small basin in the province of San Luis, Argentina. Soil samples were collected in different points of the basin, representing different land use (source samples) and sediments samples were taken along the stream (mixed samples). Concentrations of possible fingerprint elements were measured using EDXRF technique. Additionally, multivariate PLS analysis was applied to the infrared spectral data of the samples. With the aim of validate the procedure, two artificial mixtures were made up with known proportions of source samples. Fingerprints elements were identified obtaining with them a very good reconstruction of the source proportions in the artificial mixtures. DRIFT-MIRS PLS analysis shows a good correlation between MIRS spectra and the identified fingerprint elements.
Fil: Torres Astorga, Romina Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: de los Santos Villalobos, Sergio. Consejo Nacional de Ciencia y Tecnología; México
Fil: Domínguez Quintero, Olgioly. Universidad Central de Venezuela; Venezuela
Fil: Velasco, Ricardo Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: Meigikos dos Anjos, R.. Universidade Federal Fluminense; Brasil
Fil: Dercon, Gerd. Organismo Internacional de Energía Atómica; Austria
3rd Biotechnology Summit
Obregon
México
Instituto Tecnológico de Sonora
description Sediment transport and the associated deposition process are key environmental problems in the semi-arid center of Argentina where the agricultural frontier and new land uses grow at the expense of native vegetation. Using sediment source fingerprinting techniques could be a way of identifying hot spots critiques of land degradation. In this research we explore the use of natural elements in soil to identify sedimentary sources in a small basin in the province of San Luis, Argentina. Soil samples were collected in different points of the basin, representing different land use (source samples) and sediments samples were taken along the stream (mixed samples). Concentrations of possible fingerprint elements were measured using EDXRF technique. Additionally, multivariate PLS analysis was applied to the infrared spectral data of the samples. With the aim of validate the procedure, two artificial mixtures were made up with known proportions of source samples. Fingerprints elements were identified obtaining with them a very good reconstruction of the source proportions in the artificial mixtures. DRIFT-MIRS PLS analysis shows a good correlation between MIRS spectra and the identified fingerprint elements.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/243847
Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements; 3rd Biotechnology Summit; Obregon; México; 2016; 266-271
978-607-9023-41-6
CONICET Digital
CONICET
url http://hdl.handle.net/11336/243847
identifier_str_mv Combining EDXRF and DRIFT-MIRS to distinguish sedimentary sources in an agricultural catchment of Argentina : Identification of suitable fingerprint elements; 3rd Biotechnology Summit; Obregon; México; 2016; 266-271
978-607-9023-41-6
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.itson.mx/eventos/biotechnologysummit/Documents/041116_MemoryBS16.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Centro de Investigación y de Estudios Avanzados del I.P.N.
publisher.none.fl_str_mv Centro de Investigación y de Estudios Avanzados del I.P.N.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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