Development of a fast and inexpensive method for detecting the main sediment sources in a river basin

Autores
Batistelli, Marianela; Martínez Bilesio, Andrés Rogelio; Garcia Reiriz, Alejandro Gabriel
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The sediments are a key link to understand the dynamics of a water basin, since they are the main transport and retention agent of nutrients and contaminants. Therefore, a method to identify the main sediment sources and study their distribution through the basin over time without the need to use reference standards was developed. Water samples with suspended sediments were collected for one year from different sites of the Ludueña stream basin (Argentina). The sediments were deposited in fiberglass filters and their near infrared spectrum was measured. The data obtained were processed by bilinear and trilinear methods. Principal component analysis (PCA), multivariate curves resolution with alternating least squares (MCR-ALS) with and without trilinearity; and parallel factor analysis (PARAFAC) were applied. These algorithms allow identifying the three main sediment sources. The spectral loadings that characterize each source and the scores that reflect their distribution along the different sampling sites were obtained. It was concluded that the main contribution of sediments is given by the plant tissue developed by photosynthetic organisms that have a seasonal behavior. The remaining sources are characterized by being soil particles of the region under study (incorporated into the system by wind and rain) and the development of organisms with anoxygenic photosynthesis (their growth is favored due to the contribution of fluid discharges from anthropogenic activities).
Fil: Batistelli, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Martínez Bilesio, Andrés Rogelio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Garcia Reiriz, Alejandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Materia
CHEMOMETRICS
NEAR INFRARED SPECTROSCOPY
SEDIMENTS SOURCES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/87270
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Development of a fast and inexpensive method for detecting the main sediment sources in a river basinBatistelli, MarianelaMartínez Bilesio, Andrés RogelioGarcia Reiriz, Alejandro GabrielCHEMOMETRICSNEAR INFRARED SPECTROSCOPYSEDIMENTS SOURCEShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1The sediments are a key link to understand the dynamics of a water basin, since they are the main transport and retention agent of nutrients and contaminants. Therefore, a method to identify the main sediment sources and study their distribution through the basin over time without the need to use reference standards was developed. Water samples with suspended sediments were collected for one year from different sites of the Ludueña stream basin (Argentina). The sediments were deposited in fiberglass filters and their near infrared spectrum was measured. The data obtained were processed by bilinear and trilinear methods. Principal component analysis (PCA), multivariate curves resolution with alternating least squares (MCR-ALS) with and without trilinearity; and parallel factor analysis (PARAFAC) were applied. These algorithms allow identifying the three main sediment sources. The spectral loadings that characterize each source and the scores that reflect their distribution along the different sampling sites were obtained. It was concluded that the main contribution of sediments is given by the plant tissue developed by photosynthetic organisms that have a seasonal behavior. The remaining sources are characterized by being soil particles of the region under study (incorporated into the system by wind and rain) and the development of organisms with anoxygenic photosynthesis (their growth is favored due to the contribution of fluid discharges from anthropogenic activities).Fil: Batistelli, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaFil: Martínez Bilesio, Andrés Rogelio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaFil: Garcia Reiriz, Alejandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaElsevier Science2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/87270Batistelli, Marianela; Martínez Bilesio, Andrés Rogelio; Garcia Reiriz, Alejandro Gabriel; Development of a fast and inexpensive method for detecting the main sediment sources in a river basin; Elsevier Science; Microchemical Journal; 142; 11-2018; 208-2180026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X18301966info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2018.06.040info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:47:15Zoai:ri.conicet.gov.ar:11336/87270instacron: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 09:47:15.85CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
title Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
spellingShingle Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
Batistelli, Marianela
CHEMOMETRICS
NEAR INFRARED SPECTROSCOPY
SEDIMENTS SOURCES
title_short Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
title_full Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
title_fullStr Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
title_full_unstemmed Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
title_sort Development of a fast and inexpensive method for detecting the main sediment sources in a river basin
dc.creator.none.fl_str_mv Batistelli, Marianela
Martínez Bilesio, Andrés Rogelio
Garcia Reiriz, Alejandro Gabriel
author Batistelli, Marianela
author_facet Batistelli, Marianela
Martínez Bilesio, Andrés Rogelio
Garcia Reiriz, Alejandro Gabriel
author_role author
author2 Martínez Bilesio, Andrés Rogelio
Garcia Reiriz, Alejandro Gabriel
author2_role author
author
dc.subject.none.fl_str_mv CHEMOMETRICS
NEAR INFRARED SPECTROSCOPY
SEDIMENTS SOURCES
topic CHEMOMETRICS
NEAR INFRARED SPECTROSCOPY
SEDIMENTS SOURCES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The sediments are a key link to understand the dynamics of a water basin, since they are the main transport and retention agent of nutrients and contaminants. Therefore, a method to identify the main sediment sources and study their distribution through the basin over time without the need to use reference standards was developed. Water samples with suspended sediments were collected for one year from different sites of the Ludueña stream basin (Argentina). The sediments were deposited in fiberglass filters and their near infrared spectrum was measured. The data obtained were processed by bilinear and trilinear methods. Principal component analysis (PCA), multivariate curves resolution with alternating least squares (MCR-ALS) with and without trilinearity; and parallel factor analysis (PARAFAC) were applied. These algorithms allow identifying the three main sediment sources. The spectral loadings that characterize each source and the scores that reflect their distribution along the different sampling sites were obtained. It was concluded that the main contribution of sediments is given by the plant tissue developed by photosynthetic organisms that have a seasonal behavior. The remaining sources are characterized by being soil particles of the region under study (incorporated into the system by wind and rain) and the development of organisms with anoxygenic photosynthesis (their growth is favored due to the contribution of fluid discharges from anthropogenic activities).
Fil: Batistelli, Marianela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Martínez Bilesio, Andrés Rogelio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Garcia Reiriz, Alejandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
description The sediments are a key link to understand the dynamics of a water basin, since they are the main transport and retention agent of nutrients and contaminants. Therefore, a method to identify the main sediment sources and study their distribution through the basin over time without the need to use reference standards was developed. Water samples with suspended sediments were collected for one year from different sites of the Ludueña stream basin (Argentina). The sediments were deposited in fiberglass filters and their near infrared spectrum was measured. The data obtained were processed by bilinear and trilinear methods. Principal component analysis (PCA), multivariate curves resolution with alternating least squares (MCR-ALS) with and without trilinearity; and parallel factor analysis (PARAFAC) were applied. These algorithms allow identifying the three main sediment sources. The spectral loadings that characterize each source and the scores that reflect their distribution along the different sampling sites were obtained. It was concluded that the main contribution of sediments is given by the plant tissue developed by photosynthetic organisms that have a seasonal behavior. The remaining sources are characterized by being soil particles of the region under study (incorporated into the system by wind and rain) and the development of organisms with anoxygenic photosynthesis (their growth is favored due to the contribution of fluid discharges from anthropogenic activities).
publishDate 2018
dc.date.none.fl_str_mv 2018-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/87270
Batistelli, Marianela; Martínez Bilesio, Andrés Rogelio; Garcia Reiriz, Alejandro Gabriel; Development of a fast and inexpensive method for detecting the main sediment sources in a river basin; Elsevier Science; Microchemical Journal; 142; 11-2018; 208-218
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/87270
identifier_str_mv Batistelli, Marianela; Martínez Bilesio, Andrés Rogelio; Garcia Reiriz, Alejandro Gabriel; Development of a fast and inexpensive method for detecting the main sediment sources in a river basin; Elsevier Science; Microchemical Journal; 142; 11-2018; 208-218
0026-265X
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.sciencedirect.com/science/article/pii/S0026265X18301966
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2018.06.040
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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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