Analysis of tailing pond contamination in Galicia using generalized linear spatial models

We statistically analysed the chemical components present in waste water from mines in Galicia (NW Spain). These elements pose a risk to public health and the environment, most particularly in the event of a failure in the containment structure of a pond or dam. The statistical processing of the dat...

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Autores:
Taboada, Javier
Saavedra, Angeles
Paz, María
Bastante, Fernando G
Alejano, Leandro R.
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60766
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60766
http://bdigital.unal.edu.co/59098/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
tailings pond
environmental risk
generalized linear spatial model
Markov-chain Monte Carlo
spatial statistics.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Taboada, Javierd692c258-6f50-4647-be23-072994abf0fe300Saavedra, Angelesd03a04fb-1a9b-4de1-a792-c40541023f98300Paz, Maríaf4e6dbc9-ce0a-470f-b284-d5ac7597b8bb300Bastante, Fernando Gf9e0ddef-54b0-4d39-bdbb-648be30178d7300Alejano, Leandro R.675bbd20-91d2-4c6b-839f-8853fd5d0bfc3002019-07-02T19:03:53Z2019-07-02T19:03:53Z2015-01-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60766http://bdigital.unal.edu.co/59098/We statistically analysed the chemical components present in waste water from mines in Galicia (NW Spain). These elements pose a risk to public health and the environment, most particularly in the event of a failure in the containment structure of a pond or dam. The statistical processing of the data, which started with an analysis of the typical contaminants present in mining ponds and dams, pointed to the potential limitations of using non-spatial models for spatially structured data. Our results indicate the greater potential of the generalized linear spatial model over the generalized linear model for analysis of spatially structured data. We also show how a misspecification of the model for analysing spatial data can lead to misleading conclusions, which might lead, in turn, to poorly designed protective or corrective measures.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/42069Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaTaboada, Javier and Saavedra, Angeles and Paz, María and Bastante, Fernando G and Alejano, Leandro R. (2015) Analysis of tailing pond contamination in Galicia using generalized linear spatial models. DYNA, 82 (189). pp. 76-83. ISSN 2346-218362 Ingeniería y operaciones afines / Engineeringtailings pondenvironmental riskgeneralized linear spatial modelMarkov-chain Monte Carlospatial statistics.Analysis of tailing pond contamination in Galicia using generalized linear spatial modelsArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL42069-240399-1-PB.pdfapplication/pdf724683https://repositorio.unal.edu.co/bitstream/unal/60766/1/42069-240399-1-PB.pdfab18aaae703ec70ea22cd93b4c4bad5fMD51THUMBNAIL42069-240399-1-PB.pdf.jpg42069-240399-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9225https://repositorio.unal.edu.co/bitstream/unal/60766/2/42069-240399-1-PB.pdf.jpg387523b0e93f6ab3874180bae6f35813MD52unal/60766oai:repositorio.unal.edu.co:unal/607662023-04-08 23:05:15.899Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Analysis of tailing pond contamination in Galicia using generalized linear spatial models
title Analysis of tailing pond contamination in Galicia using generalized linear spatial models
spellingShingle Analysis of tailing pond contamination in Galicia using generalized linear spatial models
62 Ingeniería y operaciones afines / Engineering
tailings pond
environmental risk
generalized linear spatial model
Markov-chain Monte Carlo
spatial statistics.
title_short Analysis of tailing pond contamination in Galicia using generalized linear spatial models
title_full Analysis of tailing pond contamination in Galicia using generalized linear spatial models
title_fullStr Analysis of tailing pond contamination in Galicia using generalized linear spatial models
title_full_unstemmed Analysis of tailing pond contamination in Galicia using generalized linear spatial models
title_sort Analysis of tailing pond contamination in Galicia using generalized linear spatial models
dc.creator.fl_str_mv Taboada, Javier
Saavedra, Angeles
Paz, María
Bastante, Fernando G
Alejano, Leandro R.
dc.contributor.author.spa.fl_str_mv Taboada, Javier
Saavedra, Angeles
Paz, María
Bastante, Fernando G
Alejano, Leandro R.
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
tailings pond
environmental risk
generalized linear spatial model
Markov-chain Monte Carlo
spatial statistics.
dc.subject.proposal.spa.fl_str_mv tailings pond
environmental risk
generalized linear spatial model
Markov-chain Monte Carlo
spatial statistics.
description We statistically analysed the chemical components present in waste water from mines in Galicia (NW Spain). These elements pose a risk to public health and the environment, most particularly in the event of a failure in the containment structure of a pond or dam. The statistical processing of the data, which started with an analysis of the typical contaminants present in mining ponds and dams, pointed to the potential limitations of using non-spatial models for spatially structured data. Our results indicate the greater potential of the generalized linear spatial model over the generalized linear model for analysis of spatially structured data. We also show how a misspecification of the model for analysing spatial data can lead to misleading conclusions, which might lead, in turn, to poorly designed protective or corrective measures.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015-01-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T19:03:53Z
dc.date.available.spa.fl_str_mv 2019-07-02T19:03:53Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/60766
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/59098/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60766
http://bdigital.unal.edu.co/59098/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/dyna/article/view/42069
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Taboada, Javier and Saavedra, Angeles and Paz, María and Bastante, Fernando G and Alejano, Leandro R. (2015) Analysis of tailing pond contamination in Galicia using generalized linear spatial models. DYNA, 82 (189). pp. 76-83. ISSN 2346-2183
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
institution Universidad Nacional de Colombia
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
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