Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage

The Odiel River Basin, located in the Iberian Pyrite Belt (IPB), is heavily affected by acid mine drainage (AMD), which occurs when pyritic minerals from sulfide mining areas are exposed to atmospheric, hydrological or biological weathering. This paper presents a hydrochemical characterization of pa...

Descripción completa

Detalles Bibliográficos
Autores: Dávila Martín, José Miguel, Miguel Sarmiento, Aguasanta, Aroba Páez, Javier, Fortes Garrido, Juan Carlos, Grande Gil, José Antonio, Santisteban Fernández, María, Córdoba García, Francisco, Leiva, Mercedes, Luís, Ana Teresa
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/19866
Acceso en línea:http://hdl.handle.net/10272/19866
Access Level:acceso abierto
Palabra clave:Odiel River Basin
Seasonal influence
Iberian Pyrite Belt
Metal concentrations
Acidity
Polluted water
id ES_3ee2d5b617455e4de19969814435fc8c
oai_identifier_str oai:ariasmontano.uhu.es:10272/19866
network_acronym_str ES
network_name_str España
repository_id_str
spelling Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine DrainageDávila Martín, José MiguelMiguel Sarmiento, AguasantaAroba Páez, JavierFortes Garrido, Juan CarlosGrande Gil, José AntonioSantisteban Fernández, MaríaCórdoba García, FranciscoLeiva, MercedesLuís, Ana TeresaOdiel River BasinSeasonal influenceIberian Pyrite BeltMetal concentrationsAcidityPolluted waterThe Odiel River Basin, located in the Iberian Pyrite Belt (IPB), is heavily affected by acid mine drainage (AMD), which occurs when pyritic minerals from sulfide mining areas are exposed to atmospheric, hydrological or biological weathering. This paper presents a hydrochemical characterization of parameters in the Odiel River Basin by means of Fuzzy Logic and data mining methodologies to determine the seasonal influence ofAMDin polluted waters that have not been used before for a basin in this environmental area. This technique was proven to be effective, providing results that could not be achieved by using classic statistics, because it allows us to characterize the different parameters separately and also their relationships in waters affected by AMD in a qualitative manner based on the antecedents and according to the conditions (rules) imposed by the consequents (in this case, the Fe(II) and accumulated rainfall over 30 days). Thus, it was possible to confirm that hydrochemistry is greatly affected by seasonal changes, with a higher pH in the wet season (up to 8.59) compared to 2.12, the minimum pH value reached in the dry season. Accordingly, higher concentrations of most of the metals were observed in the dry season (e.g., up to 4000 mg/L of Fe (II)), with the exception of the values found after the first rains that occur in the early fall. With the use of the Fuzzy Logic technique, it was observed that, during the wet season, lixiviates with a higher Fe content have higher metal concentrations, and in the dry season, the behavior is the opposite.MDPI20212021-04-0120212021-04-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10272/19866reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/198662026-06-02T14:58:11Z
dc.title.none.fl_str_mv Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
title Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
spellingShingle Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
Dávila Martín, José Miguel
Odiel River Basin
Seasonal influence
Iberian Pyrite Belt
Metal concentrations
Acidity
Polluted water
title_short Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
title_full Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
title_fullStr Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
title_full_unstemmed Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
title_sort Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage
dc.creator.none.fl_str_mv Dávila Martín, José Miguel
Miguel Sarmiento, Aguasanta
Aroba Páez, Javier
Fortes Garrido, Juan Carlos
Grande Gil, José Antonio
Santisteban Fernández, María
Córdoba García, Francisco
Leiva, Mercedes
Luís, Ana Teresa
author Dávila Martín, José Miguel
author_facet Dávila Martín, José Miguel
Miguel Sarmiento, Aguasanta
Aroba Páez, Javier
Fortes Garrido, Juan Carlos
Grande Gil, José Antonio
Santisteban Fernández, María
Córdoba García, Francisco
Leiva, Mercedes
Luís, Ana Teresa
author_role author
author2 Miguel Sarmiento, Aguasanta
Aroba Páez, Javier
Fortes Garrido, Juan Carlos
Grande Gil, José Antonio
Santisteban Fernández, María
Córdoba García, Francisco
Leiva, Mercedes
Luís, Ana Teresa
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Odiel River Basin
Seasonal influence
Iberian Pyrite Belt
Metal concentrations
Acidity
Polluted water
topic Odiel River Basin
Seasonal influence
Iberian Pyrite Belt
Metal concentrations
Acidity
Polluted water
description The Odiel River Basin, located in the Iberian Pyrite Belt (IPB), is heavily affected by acid mine drainage (AMD), which occurs when pyritic minerals from sulfide mining areas are exposed to atmospheric, hydrological or biological weathering. This paper presents a hydrochemical characterization of parameters in the Odiel River Basin by means of Fuzzy Logic and data mining methodologies to determine the seasonal influence ofAMDin polluted waters that have not been used before for a basin in this environmental area. This technique was proven to be effective, providing results that could not be achieved by using classic statistics, because it allows us to characterize the different parameters separately and also their relationships in waters affected by AMD in a qualitative manner based on the antecedents and according to the conditions (rules) imposed by the consequents (in this case, the Fe(II) and accumulated rainfall over 30 days). Thus, it was possible to confirm that hydrochemistry is greatly affected by seasonal changes, with a higher pH in the wet season (up to 8.59) compared to 2.12, the minimum pH value reached in the dry season. Accordingly, higher concentrations of most of the metals were observed in the dry season (e.g., up to 4000 mg/L of Fe (II)), with the exception of the values found after the first rains that occur in the early fall. With the use of the Fuzzy Logic technique, it was observed that, during the wet season, lixiviates with a higher Fe content have higher metal concentrations, and in the dry season, the behavior is the opposite.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-04-01
2021
2021-04-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10272/19866
url http://hdl.handle.net/10272/19866
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406589532766208
score 15,811543

Similares en LA Referencia