Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.

The inherent uncertainties, subjectivity, and engineering challenges in environmental problems are increasingly being worked upon computing methods based on artifi cial intelligence (AI), including computerized tools that allow an analyst to use approximate reasoning with incomplete and inaccurate i...

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Autores:
González H., Juan D.
Carvajal Serna, Luis Fernando
Toro Botero, Francisco Mauricio
Tipo de recurso:
Article of journal
Fecha de publicación:
2012
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/9219
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/9219
http://bdigital.unal.edu.co/6038/
Palabra clave:
5 Ciencias naturales y matemáticas / Science
Índice de calidad de agua
Lógica difusa
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_abf2González H., Juan D.a49b508f-0211-40e1-b346-70368cf64067300Carvajal Serna, Luis Fernando79f45666-85a7-4f25-a17b-e50060d4cf49300Toro Botero, Francisco Mauricio49e335fe-f5b4-4ef1-9653-1f5c32f3c85f3002019-06-24T20:56:32Z2019-06-24T20:56:32Z2012-02ISSN: 0012-7353https://repositorio.unal.edu.co/handle/unal/9219http://bdigital.unal.edu.co/6038/The inherent uncertainties, subjectivity, and engineering challenges in environmental problems are increasingly being worked upon computing methods based on artifi cial intelligence (AI), including computerized tools that allow an analyst to use approximate reasoning with incomplete and inaccurate information and with the support of an expert in the fi eld. In order to evaluate the applicability of this tool, this paper presents the development of a new water quality index based on fuzzy logic called the “fuzzy water quality index” (FWQI). This index is compared to the NSF water quality index (NSFWQI) and with the water quality index (ARWQI) obtained for the project “Red Río Fase I” for the Medellin metropolitan area environmental authority. The new FWQI provided reasonable correlations and results in comparison to the other two reference indexes. Finally, the FWQI could be used as a decision maker in the water management of Aburra River.application/pdfspaUniversidad Nacional de Colombia Sede Medell�n. Facultad de MinasUniversidad Nacional de Colombia Sede Medellín Facultad de Minas Escuela de Geociencias y Medio AmbienteEscuela de Geociencias y Medio AmbienteGonzález H., Juan D. and Carvajal Serna, Luis Fernando and Toro Botero, Francisco Mauricio (2012) Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area. Dyna, 79 (171). pp. 50-58. ISSN 0012-73535 Ciencias naturales y matemáticas / ScienceÍndice de calidad de aguaLógica difusaWater quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.Artículo 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/ARTORIGINALDyna-2012_No.171-50.pdfapplication/pdf540801https://repositorio.unal.edu.co/bitstream/unal/9219/1/Dyna-2012_No.171-50.pdfad8ebae1deaa578420e8cfcf1c09f0d1MD51THUMBNAILDyna-2012_No.171-50.pdf.jpgDyna-2012_No.171-50.pdf.jpgGenerated Thumbnailimage/jpeg9584https://repositorio.unal.edu.co/bitstream/unal/9219/2/Dyna-2012_No.171-50.pdf.jpg8d59649c3c5aec44f4e10179cbd65589MD52unal/9219oai:repositorio.unal.edu.co:unal/92192023-09-05 23:04:32.261Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
title Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
spellingShingle Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
5 Ciencias naturales y matemáticas / Science
Índice de calidad de agua
Lógica difusa
title_short Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
title_full Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
title_fullStr Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
title_full_unstemmed Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
title_sort Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area.
dc.creator.fl_str_mv González H., Juan D.
Carvajal Serna, Luis Fernando
Toro Botero, Francisco Mauricio
dc.contributor.author.spa.fl_str_mv González H., Juan D.
Carvajal Serna, Luis Fernando
Toro Botero, Francisco Mauricio
dc.subject.ddc.spa.fl_str_mv 5 Ciencias naturales y matemáticas / Science
topic 5 Ciencias naturales y matemáticas / Science
Índice de calidad de agua
Lógica difusa
dc.subject.proposal.spa.fl_str_mv Índice de calidad de agua
Lógica difusa
description The inherent uncertainties, subjectivity, and engineering challenges in environmental problems are increasingly being worked upon computing methods based on artifi cial intelligence (AI), including computerized tools that allow an analyst to use approximate reasoning with incomplete and inaccurate information and with the support of an expert in the fi eld. In order to evaluate the applicability of this tool, this paper presents the development of a new water quality index based on fuzzy logic called the “fuzzy water quality index” (FWQI). This index is compared to the NSF water quality index (NSFWQI) and with the water quality index (ARWQI) obtained for the project “Red Río Fase I” for the Medellin metropolitan area environmental authority. The new FWQI provided reasonable correlations and results in comparison to the other two reference indexes. Finally, the FWQI could be used as a decision maker in the water management of Aburra River.
publishDate 2012
dc.date.issued.spa.fl_str_mv 2012-02
dc.date.accessioned.spa.fl_str_mv 2019-06-24T20:56:32Z
dc.date.available.spa.fl_str_mv 2019-06-24T20:56:32Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 0012-7353
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dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Medellín Facultad de Minas Escuela de Geociencias y Medio Ambiente
Escuela de Geociencias y Medio Ambiente
dc.relation.references.spa.fl_str_mv González H., Juan D. and Carvajal Serna, Luis Fernando and Toro Botero, Francisco Mauricio (2012) Water quality index based on fuzzy logic applied to the Aburra river basin in the jurisdiction of the Metropolitan Area. Dyna, 79 (171). pp. 50-58. ISSN 0012-7353
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
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dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia Sede Medell�n. Facultad de Minas
institution Universidad Nacional de Colombia
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