New Water and Biotic Quality Assessment Indices for a tropical reservoir based on fuzzy logic
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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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) instacron:IPABHI |
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 |
_version_ |
1752129751311450112 |