New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic

Detalhes bibliográficos
Autor(a) principal: Andrade,Andres Paladines
Data de Publicação: 2020
Outros Autores: Vellasco,Marley, Figueiredo,Karla, Araújo,Francisco Gerson, Branco,Christina Wyss Castelo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500316
Resumo: Abstract The complexity of evaluating the quality of an aquatic environment with its numerous variables has resulted in several quality indexes to synthesize all information in a single value. However, most of these indexes are based on few environmental variables, losing information from other relevant variables. This article presents a new model capable of representing the quality level of a tropical oligo-mesotrophic reservoir on a numerical scale, considering the subjectivity implicit in the concept of quality, and involving several physical, chemical and biological variables. The proposed model, called "Fuzzy Indices for Water Quality Assessment and Biotics" (FUZZY-WBQAI), is based on fuzzy inference systems, providing a way to deal with the uncertainty between the quality categories. A computational tool was developed, which automatically assesses the quality of water, considering different methodologies that depend on the stratification conditions and the longitudinal zone of the reservoir. The model calculates two indices: one for water quality and one biotic that uses metrics from the fish assembly. The model was effective in revealing the decrease in water quality in summer months with higher temperature and precipitation. The effect of the mixture of the stratified reservoir in winter in decreasing the water quality in an area of ​​fish cultivation was highlighted. The biotic index was sensitive to spatial changes in the environmental quality of the reservoir. The results were considered satisfactory, in agreement with the specialized knowledge, and can provide a rapid diagnosis of water conditions in oligo-mesotrophic reservoirs in the tropics.
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spelling New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logicenvironmental indexfuzzy inference systemFUZZY-WBQAI modelhydropower reservoirtropical reservoirwater quality indexAbstract The complexity of evaluating the quality of an aquatic environment with its numerous variables has resulted in several quality indexes to synthesize all information in a single value. However, most of these indexes are based on few environmental variables, losing information from other relevant variables. This article presents a new model capable of representing the quality level of a tropical oligo-mesotrophic reservoir on a numerical scale, considering the subjectivity implicit in the concept of quality, and involving several physical, chemical and biological variables. The proposed model, called "Fuzzy Indices for Water Quality Assessment and Biotics" (FUZZY-WBQAI), is based on fuzzy inference systems, providing a way to deal with the uncertainty between the quality categories. A computational tool was developed, which automatically assesses the quality of water, considering different methodologies that depend on the stratification conditions and the longitudinal zone of the reservoir. The model calculates two indices: one for water quality and one biotic that uses metrics from the fish assembly. The model was effective in revealing the decrease in water quality in summer months with higher temperature and precipitation. The effect of the mixture of the stratified reservoir in winter in decreasing the water quality in an area of ​​fish cultivation was highlighted. The biotic index was sensitive to spatial changes in the environmental quality of the reservoir. The results were considered satisfactory, in agreement with the specialized knowledge, and can provide a rapid diagnosis of water conditions in oligo-mesotrophic reservoirs in the tropics.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500316Revista Ambiente & Água v.15 n.5 2020reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2597info:eu-repo/semantics/openAccessAndrade,Andres PaladinesVellasco,MarleyFigueiredo,KarlaAraújo,Francisco GersonBranco,Christina Wyss Casteloeng2020-10-02T00:00:00Zoai:scielo:S1980-993X2020000500316Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2020-10-02T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
title New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
spellingShingle New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
Andrade,Andres Paladines
environmental index
fuzzy inference system
FUZZY-WBQAI model
hydropower reservoir
tropical reservoir
water quality index
title_short New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
title_full New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
title_fullStr New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
title_full_unstemmed New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
title_sort New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
author Andrade,Andres Paladines
author_facet Andrade,Andres Paladines
Vellasco,Marley
Figueiredo,Karla
Araújo,Francisco Gerson
Branco,Christina Wyss Castelo
author_role author
author2 Vellasco,Marley
Figueiredo,Karla
Araújo,Francisco Gerson
Branco,Christina Wyss Castelo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Andrade,Andres Paladines
Vellasco,Marley
Figueiredo,Karla
Araújo,Francisco Gerson
Branco,Christina Wyss Castelo
dc.subject.por.fl_str_mv environmental index
fuzzy inference system
FUZZY-WBQAI model
hydropower reservoir
tropical reservoir
water quality index
topic environmental index
fuzzy inference system
FUZZY-WBQAI model
hydropower reservoir
tropical reservoir
water quality index
description Abstract The complexity of evaluating the quality of an aquatic environment with its numerous variables has resulted in several quality indexes to synthesize all information in a single value. However, most of these indexes are based on few environmental variables, losing information from other relevant variables. This article presents a new model capable of representing the quality level of a tropical oligo-mesotrophic reservoir on a numerical scale, considering the subjectivity implicit in the concept of quality, and involving several physical, chemical and biological variables. The proposed model, called "Fuzzy Indices for Water Quality Assessment and Biotics" (FUZZY-WBQAI), is based on fuzzy inference systems, providing a way to deal with the uncertainty between the quality categories. A computational tool was developed, which automatically assesses the quality of water, considering different methodologies that depend on the stratification conditions and the longitudinal zone of the reservoir. The model calculates two indices: one for water quality and one biotic that uses metrics from the fish assembly. The model was effective in revealing the decrease in water quality in summer months with higher temperature and precipitation. The effect of the mixture of the stratified reservoir in winter in decreasing the water quality in an area of ​​fish cultivation was highlighted. The biotic index was sensitive to spatial changes in the environmental quality of the reservoir. The results were considered satisfactory, in agreement with the specialized knowledge, and can provide a rapid diagnosis of water conditions in oligo-mesotrophic reservoirs in the tropics.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500316
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500316
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2597
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.15 n.5 2020
reponame:Revista Ambiente & Água
instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
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instname_str Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron_str IPABHI
institution IPABHI
reponame_str Revista Ambiente & Água
collection Revista Ambiente & Água
repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
repository.mail.fl_str_mv ||ambi.agua@gmail.com
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