Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard
- Autores
- Ruggieri, Flavia; Gil, Raul Andres; Fernandez-turiel, Jose Luis; Villarroel Saavedra, Julio César; Gimeno, Domingo; Lobo, Agustin; Martinez, Luis Dante; Rodriguez Gonzalez, Alejandro
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- A method to obtain robust information on short term leaching behaviour of volcanic ashes has been developed independently on the sample age. A mixed factorial design (MFD) was employed as a multivariate strategy for the evaluation of the effects of selected control factors and their interactions (amount of sample (A), contact time (B), and liquid to solid ratio or L/S (C)) on the leaching process of selected metals (Na, K, Mg, Ca, Si, Al, V, Mn, Fe, and Co) and anions (Cl - and SO 4 2-). Box plots of the data acquired were used to evaluate the reproducibility achieved at different experimental conditions. Both the amount of sample (A) and leaching time (B) had a significant effect on the element stripping whereas the L/S ratio influenced only few elements. The lowest dispersion values have been observed when 1.0g was leached with an L/S ratio equal to 10, shaking during 4h. The entire method is completed within few hours, and it is simple, feasible and reliable in laboratory conditions.
Fil: Ruggieri Flavia. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; España
Fil: Gil, Raul Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
Fil: Jose Luis Fernandez Turiel. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; España
Fil: Julio Saavedra. Irnasa; España
Fil: Domingo Gimeno. Facultad de Geologia; España
Fil: Agustin Lobo. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; España
Fil: Luis D. Martinez. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
Fil: Alejandro Rodriguez Gonzalaez. Departamento de Fisica- Universidad de Las Palmas; España - Materia
-
BATCH LEACHING
MIXED FACTORIAL DESIGN
VOLCANIC ASH - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/92846
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/92846 |
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3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazardRuggieri, FlaviaGil, Raul AndresFernandez-turiel, Jose LuisVillarroel Saavedra, Julio CésarGimeno, DomingoLobo, AgustinMartinez, Luis DanteRodriguez Gonzalez, AlejandroBATCH LEACHINGMIXED FACTORIAL DESIGNVOLCANIC ASHhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1A method to obtain robust information on short term leaching behaviour of volcanic ashes has been developed independently on the sample age. A mixed factorial design (MFD) was employed as a multivariate strategy for the evaluation of the effects of selected control factors and their interactions (amount of sample (A), contact time (B), and liquid to solid ratio or L/S (C)) on the leaching process of selected metals (Na, K, Mg, Ca, Si, Al, V, Mn, Fe, and Co) and anions (Cl - and SO 4 2-). Box plots of the data acquired were used to evaluate the reproducibility achieved at different experimental conditions. Both the amount of sample (A) and leaching time (B) had a significant effect on the element stripping whereas the L/S ratio influenced only few elements. The lowest dispersion values have been observed when 1.0g was leached with an L/S ratio equal to 10, shaking during 4h. The entire method is completed within few hours, and it is simple, feasible and reliable in laboratory conditions.Fil: Ruggieri Flavia. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; EspañaFil: Gil, Raul Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; ArgentinaFil: Jose Luis Fernandez Turiel. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; EspañaFil: Julio Saavedra. Irnasa; EspañaFil: Domingo Gimeno. Facultad de Geologia; EspañaFil: Agustin Lobo. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; EspañaFil: Luis D. Martinez. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; ArgentinaFil: Alejandro Rodriguez Gonzalaez. Departamento de Fisica- Universidad de Las Palmas; EspañaElsevier Science2012-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/92846Ruggieri, Flavia; Gil, Raul Andres; Fernandez-turiel, Jose Luis; Villarroel Saavedra, Julio César; Gimeno, Domingo; et al.; Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard; Elsevier Science; Journal of Hazardous Materials; 213-214; 7-4-2012; 273-2840304-3894CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhazmat.2012.01.091info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0304389412001331info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:08Zoai:ri.conicet.gov.ar:11336/92846instacron: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 09:54:08.846CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard |
title |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard |
spellingShingle |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard Ruggieri, Flavia BATCH LEACHING MIXED FACTORIAL DESIGN VOLCANIC ASH |
title_short |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard |
title_full |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard |
title_fullStr |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard |
title_full_unstemmed |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard |
title_sort |
Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard |
dc.creator.none.fl_str_mv |
Ruggieri, Flavia Gil, Raul Andres Fernandez-turiel, Jose Luis Villarroel Saavedra, Julio César Gimeno, Domingo Lobo, Agustin Martinez, Luis Dante Rodriguez Gonzalez, Alejandro |
author |
Ruggieri, Flavia |
author_facet |
Ruggieri, Flavia Gil, Raul Andres Fernandez-turiel, Jose Luis Villarroel Saavedra, Julio César Gimeno, Domingo Lobo, Agustin Martinez, Luis Dante Rodriguez Gonzalez, Alejandro |
author_role |
author |
author2 |
Gil, Raul Andres Fernandez-turiel, Jose Luis Villarroel Saavedra, Julio César Gimeno, Domingo Lobo, Agustin Martinez, Luis Dante Rodriguez Gonzalez, Alejandro |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
BATCH LEACHING MIXED FACTORIAL DESIGN VOLCANIC ASH |
topic |
BATCH LEACHING MIXED FACTORIAL DESIGN VOLCANIC ASH |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
A method to obtain robust information on short term leaching behaviour of volcanic ashes has been developed independently on the sample age. A mixed factorial design (MFD) was employed as a multivariate strategy for the evaluation of the effects of selected control factors and their interactions (amount of sample (A), contact time (B), and liquid to solid ratio or L/S (C)) on the leaching process of selected metals (Na, K, Mg, Ca, Si, Al, V, Mn, Fe, and Co) and anions (Cl - and SO 4 2-). Box plots of the data acquired were used to evaluate the reproducibility achieved at different experimental conditions. Both the amount of sample (A) and leaching time (B) had a significant effect on the element stripping whereas the L/S ratio influenced only few elements. The lowest dispersion values have been observed when 1.0g was leached with an L/S ratio equal to 10, shaking during 4h. The entire method is completed within few hours, and it is simple, feasible and reliable in laboratory conditions. Fil: Ruggieri Flavia. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; España Fil: Gil, Raul Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina Fil: Jose Luis Fernandez Turiel. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; España Fil: Julio Saavedra. Irnasa; España Fil: Domingo Gimeno. Facultad de Geologia; España Fil: Agustin Lobo. Consejo Superior de Investigaciones Científicas. Instituto de Ciencias de la Tierra Jaume Almera; España Fil: Luis D. Martinez. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina Fil: Alejandro Rodriguez Gonzalaez. Departamento de Fisica- Universidad de Las Palmas; España |
description |
A method to obtain robust information on short term leaching behaviour of volcanic ashes has been developed independently on the sample age. A mixed factorial design (MFD) was employed as a multivariate strategy for the evaluation of the effects of selected control factors and their interactions (amount of sample (A), contact time (B), and liquid to solid ratio or L/S (C)) on the leaching process of selected metals (Na, K, Mg, Ca, Si, Al, V, Mn, Fe, and Co) and anions (Cl - and SO 4 2-). Box plots of the data acquired were used to evaluate the reproducibility achieved at different experimental conditions. Both the amount of sample (A) and leaching time (B) had a significant effect on the element stripping whereas the L/S ratio influenced only few elements. The lowest dispersion values have been observed when 1.0g was leached with an L/S ratio equal to 10, shaking during 4h. The entire method is completed within few hours, and it is simple, feasible and reliable in laboratory conditions. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-04-07 |
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/11336/92846 Ruggieri, Flavia; Gil, Raul Andres; Fernandez-turiel, Jose Luis; Villarroel Saavedra, Julio César; Gimeno, Domingo; et al.; Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard; Elsevier Science; Journal of Hazardous Materials; 213-214; 7-4-2012; 273-284 0304-3894 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/92846 |
identifier_str_mv |
Ruggieri, Flavia; Gil, Raul Andres; Fernandez-turiel, Jose Luis; Villarroel Saavedra, Julio César; Gimeno, Domingo; et al.; Multivariate factorial analysis to design a robust batch leaching test to assess the volcanic ash geochemical hazard; Elsevier Science; Journal of Hazardous Materials; 213-214; 7-4-2012; 273-284 0304-3894 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhazmat.2012.01.091 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0304389412001331 |
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 |
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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1842269267251167232 |
score |
13.13397 |