An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.

Autores
Chaparro, Mauro Alejandro Eduardo; Chaparro, Marcos Adrián Eduardo; Castaneda Miranda, A. G.; Böhnel, Harald N.; Sinito, Ana Maria
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Studies of magnetic monitoring for assessing air pollution have been proposed as alternative and complimentary of chemical methods. Such magnetic studies provide measurements at low cost and relative promptness. In this work, we present and apply a methodology to build an interval fuzzy model, which calculates the Tomlinson pollution load index (PLI). The input variables for the model are magnetic parameters relative to magnetic concentration, grain size and mineralogy. The model aims to two purposes, on one hand, to calculate the values of PLI only using magnetic variables and, on the other hand, to analyze the relationship between magnetic and chemical variables. The studied dataset was obtained from measurements of the biomonitor Tillandsia recurvata L. in a Mexican urban area (Santiago de Querétaro). The best model was selected from a total of about half a million possible models using a fitness measure (RIF). The model yields a satisfactory approximation of the PLI data and it was concluded that PLI increases with relation to: an increase in concentration of magnetic materials, an additional contribution to the magnetic signal of paramagnetic materials, and an increase in size of magnetic grains.
Fil: Chaparro, Mauro Alejandro Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Chaparro, Marcos Adrián Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina
Fil: Castaneda Miranda, A. G.. Universidad Nacional Autónoma de México. Centro de Geociencias; México
Fil: Böhnel, Harald N.. Universidad Nacional Autónoma de México. Centro de Geociencias; México
Fil: Sinito, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina
Materia
Biomonitoring
Fuzzy C-Means Clustering
Model
Magnetic Parameters
Pollution
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:11336/4594
Acceder
id CONICETDig_486bc36a22232341c519cac539416b70
oai_identifier_str oai:ri.conicet.gov.ar:11336/4594
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.Chaparro, Mauro Alejandro EduardoChaparro, Marcos Adrián EduardoCastaneda Miranda, A. G.Böhnel, Harald N.Sinito, Ana MariaBiomonitoringFuzzy C-Means ClusteringModelMagnetic ParametersPollutionhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Studies of magnetic monitoring for assessing air pollution have been proposed as alternative and complimentary of chemical methods. Such magnetic studies provide measurements at low cost and relative promptness. In this work, we present and apply a methodology to build an interval fuzzy model, which calculates the Tomlinson pollution load index (PLI). The input variables for the model are magnetic parameters relative to magnetic concentration, grain size and mineralogy. The model aims to two purposes, on one hand, to calculate the values of PLI only using magnetic variables and, on the other hand, to analyze the relationship between magnetic and chemical variables. The studied dataset was obtained from measurements of the biomonitor Tillandsia recurvata L. in a Mexican urban area (Santiago de Querétaro). The best model was selected from a total of about half a million possible models using a fitness measure (RIF). The model yields a satisfactory approximation of the PLI data and it was concluded that PLI increases with relation to: an increase in concentration of magnetic materials, an additional contribution to the magnetic signal of paramagnetic materials, and an increase in size of magnetic grains.Fil: Chaparro, Mauro Alejandro Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Chaparro, Marcos Adrián Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; ArgentinaFil: Castaneda Miranda, A. G.. Universidad Nacional Autónoma de México. Centro de Geociencias; MéxicoFil: Böhnel, Harald N.. Universidad Nacional Autónoma de México. Centro de Geociencias; MéxicoFil: Sinito, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; ArgentinaElsevier2015-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4594Chaparro, Mauro Alejandro Eduardo; Chaparro, Marcos Adrián Eduardo; Castaneda Miranda, A. G.; Böhnel, Harald N.; Sinito, Ana Maria; An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.; Elsevier; Ecological Indicators; 54; 7-2015; 238-2451470-160Xenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2015.02.018info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1470160X15000953info:eu-repo/semantics/altIdentifier/issn/1470-160Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:34Zoai:ri.conicet.gov.ar:11336/4594instacron: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:34982025-09-03 10:04:35.101CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
title An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
spellingShingle An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
Chaparro, Mauro Alejandro Eduardo
Biomonitoring
Fuzzy C-Means Clustering
Model
Magnetic Parameters
Pollution
title_short An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
title_full An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
title_fullStr An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
title_full_unstemmed An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
title_sort An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.
dc.creator.none.fl_str_mv Chaparro, Mauro Alejandro Eduardo
Chaparro, Marcos Adrián Eduardo
Castaneda Miranda, A. G.
Böhnel, Harald N.
Sinito, Ana Maria
author Chaparro, Mauro Alejandro Eduardo
author_facet Chaparro, Mauro Alejandro Eduardo
Chaparro, Marcos Adrián Eduardo
Castaneda Miranda, A. G.
Böhnel, Harald N.
Sinito, Ana Maria
author_role author
author2 Chaparro, Marcos Adrián Eduardo
Castaneda Miranda, A. G.
Böhnel, Harald N.
Sinito, Ana Maria
author2_role author
author
author
author
dc.subject.none.fl_str_mv Biomonitoring
Fuzzy C-Means Clustering
Model
Magnetic Parameters
Pollution
topic Biomonitoring
Fuzzy C-Means Clustering
Model
Magnetic Parameters
Pollution
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Studies of magnetic monitoring for assessing air pollution have been proposed as alternative and complimentary of chemical methods. Such magnetic studies provide measurements at low cost and relative promptness. In this work, we present and apply a methodology to build an interval fuzzy model, which calculates the Tomlinson pollution load index (PLI). The input variables for the model are magnetic parameters relative to magnetic concentration, grain size and mineralogy. The model aims to two purposes, on one hand, to calculate the values of PLI only using magnetic variables and, on the other hand, to analyze the relationship between magnetic and chemical variables. The studied dataset was obtained from measurements of the biomonitor Tillandsia recurvata L. in a Mexican urban area (Santiago de Querétaro). The best model was selected from a total of about half a million possible models using a fitness measure (RIF). The model yields a satisfactory approximation of the PLI data and it was concluded that PLI increases with relation to: an increase in concentration of magnetic materials, an additional contribution to the magnetic signal of paramagnetic materials, and an increase in size of magnetic grains.
Fil: Chaparro, Mauro Alejandro Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Chaparro, Marcos Adrián Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina
Fil: Castaneda Miranda, A. G.. Universidad Nacional Autónoma de México. Centro de Geociencias; México
Fil: Böhnel, Harald N.. Universidad Nacional Autónoma de México. Centro de Geociencias; México
Fil: Sinito, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina
description Studies of magnetic monitoring for assessing air pollution have been proposed as alternative and complimentary of chemical methods. Such magnetic studies provide measurements at low cost and relative promptness. In this work, we present and apply a methodology to build an interval fuzzy model, which calculates the Tomlinson pollution load index (PLI). The input variables for the model are magnetic parameters relative to magnetic concentration, grain size and mineralogy. The model aims to two purposes, on one hand, to calculate the values of PLI only using magnetic variables and, on the other hand, to analyze the relationship between magnetic and chemical variables. The studied dataset was obtained from measurements of the biomonitor Tillandsia recurvata L. in a Mexican urban area (Santiago de Querétaro). The best model was selected from a total of about half a million possible models using a fitness measure (RIF). The model yields a satisfactory approximation of the PLI data and it was concluded that PLI increases with relation to: an increase in concentration of magnetic materials, an additional contribution to the magnetic signal of paramagnetic materials, and an increase in size of magnetic grains.
publishDate 2015
dc.date.none.fl_str_mv 2015-07
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/11336/4594
Chaparro, Mauro Alejandro Eduardo; Chaparro, Marcos Adrián Eduardo; Castaneda Miranda, A. G.; Böhnel, Harald N.; Sinito, Ana Maria; An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.; Elsevier; Ecological Indicators; 54; 7-2015; 238-245
1470-160X
url http://hdl.handle.net/11336/4594
identifier_str_mv Chaparro, Mauro Alejandro Eduardo; Chaparro, Marcos Adrián Eduardo; Castaneda Miranda, A. G.; Böhnel, Harald N.; Sinito, Ana Maria; An interval fuzzy model for magnetic biomonitoring using the specie Tillandsia recurvata L.; Elsevier; Ecological Indicators; 54; 7-2015; 238-245
1470-160X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2015.02.018
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1470160X15000953
info:eu-repo/semantics/altIdentifier/issn/1470-160X
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
publisher.none.fl_str_mv Elsevier
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 13.13397

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