Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil

Detalhes bibliográficos
Autor(a) principal: Silva, Mayara Oliveira da
Data de Publicação: 2022
Outros Autores: Barbosa, Domingos Sávio, Olinda, Ricardo Alves de, Mioto, Camila Leonardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/26309
Resumo: Bayesian Belief Networks (BBN) modeling the water quality has become popular due to advances in computational techniques. For this instance, BBN is a useful tool to modeling the relationship between water quality data and population or urbanization parameters on a watershed scale. This method can combine primary water quality data and decision parameters and help scientists and decision-makers analyze several scenarios on a watershed, including the effect of scale. This paper aims to analyze and discuss the application of Bayesian Belief Network (BBN) on the relationship between watershed water quality and sanitary management indicators, studying a case on the Pantanal Wetland tributary watershed. Two scales BBN were constructed using ten years of water quality and sewage management datasets. Both BBNs were responsive and sensitive to water quality parameters. The Total Nitrogen and E. coli were de most essential parameters to simulate changes in water quality scenarios. The simulated scenarios showed structural limitations about the Pantanal Wetland Cities' sanitary system in the present study. We strongly recommend a review of the goals of sanitary structure and services and alert to the risk of a sanitary crisis in Pantanal Wetland.
id UNIFEI_5e828dbf9d1ab8c4fef67698c0e225a0
oai_identifier_str oai:ojs.pkp.sfu.ca:article/26309
network_acronym_str UNIFEI
network_name_str Research, Society and Development
repository_id_str
spelling Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil Estudio del Impacto de las decisiones sanitarias sobre la calidad del agua utilizando Redes de Creencias Bayesianas en la Cuenca del Humedal del Alto Pantanal – BrasilEstudo do Impacto das Decisões Sanitárias sobre a Qualidade da Água Utilizando Redes de Crenças Bayesianas na Bacia do Pantanal do Alto Pantanal – BrasilAguas residualesUrbanizaciónEcología fluvial.SewageUrbanizationRiver ecology.EsgotoUrbanizaçãoEcologia do rio.Bayesian Belief Networks (BBN) modeling the water quality has become popular due to advances in computational techniques. For this instance, BBN is a useful tool to modeling the relationship between water quality data and population or urbanization parameters on a watershed scale. This method can combine primary water quality data and decision parameters and help scientists and decision-makers analyze several scenarios on a watershed, including the effect of scale. This paper aims to analyze and discuss the application of Bayesian Belief Network (BBN) on the relationship between watershed water quality and sanitary management indicators, studying a case on the Pantanal Wetland tributary watershed. Two scales BBN were constructed using ten years of water quality and sewage management datasets. Both BBNs were responsive and sensitive to water quality parameters. The Total Nitrogen and E. coli were de most essential parameters to simulate changes in water quality scenarios. The simulated scenarios showed structural limitations about the Pantanal Wetland Cities' sanitary system in the present study. We strongly recommend a review of the goals of sanitary structure and services and alert to the risk of a sanitary crisis in Pantanal Wetland.Las redes de creencias bayesianas (BBN) que modelan la calidad del agua se han vuelto populares debido a los avances en las técnicas computacionales. Para este caso, BBN es una herramienta útil para modelar la relación entre los datos de calidad del agua y los parámetros de población o urbanización a escala de cuenca. Este método puede combinar datos primarios de calidad del agua y parámetros de decisión y ayudar a los científicos y a los encargados de tomar decisiones a analizar varios escenarios en una cuenca, incluido el efecto de escala. Este artículo tiene como objetivo analizar y discutir la aplicación de Bayesian Belief Network (BBN) sobre la relación entre la calidad del agua de la cuenca y los indicadores de gestión sanitaria, estudiando un caso en la cuenca tributaria del Pantanal. Se construyeron dos BBN a escala utilizando diez años de conjuntos de datos de gestión de aguas residuales y calidad del agua. Ambos BBN respondieron y fueron sensibles a los parámetros de calidad del agua. El Nitrógeno Total y E. coli fueron los parámetros más esenciales para simular cambios en los escenarios de calidad del agua. Los escenarios simulados mostraron limitaciones estructurales sobre el sistema sanitario de las Ciudades de Humedales del Pantanal en el presente estudio. Recomendamos encarecidamente una revisión de las metas de estructura y servicios sanitarios y alertar sobre el riesgo de una crisis sanitaria en el Pantanal.Bayesian Belief Networks (BBN) modelar a qualidade da água tornou-se popular devido aos avanços nas técnicas computacionais. Para este caso, o BBN é uma ferramenta útil para modelar a relação entre dados de qualidade da água e parâmetros populacionais ou de urbanização em uma escala de bacia hidrográfica. Esse método pode combinar dados primários de qualidade da água e parâmetros de decisão e ajudar cientistas e tomadores de decisão a analisar vários cenários em uma bacia hidrográfica, incluindo o efeito de escala. Este artigo tem como objetivo analisar e discutir a aplicação da Bayesian Belief Network (BBN) na relação entre a qualidade da água de uma bacia hidrográfica e os indicadores de gestão sanitária, estudando um caso na bacia afluente do Pantanal. Duas escalas BBN foram construídas usando dez anos de conjuntos de dados de qualidade da água e gestão de esgoto. Ambos os BBNs foram responsivos e sensíveis aos parâmetros de qualidade da água. O Nitrogênio Total e E. coli foram os parâmetros mais essenciais para simular mudanças nos cenários de qualidade da água. Os cenários simulados mostraram limitações estruturais sobre o sistema sanitário das Cidades do Pantanal do presente estudo. Recomendamos fortemente a revisão das metas de estrutura e serviços sanitários e alertamos para o risco de crise sanitária no Pantanal.Research, Society and Development2022-02-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2630910.33448/rsd-v11i3.26309Research, Society and Development; Vol. 11 No. 3; e21011326309Research, Society and Development; Vol. 11 Núm. 3; e21011326309Research, Society and Development; v. 11 n. 3; e210113263092525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/26309/23162Copyright (c) 2022 Mayara Oliveira da Silva; Domingos Sávio Barbosa; Ricardo Alves de Olinda; Camila Leonardo Miotohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Mayara Oliveira daBarbosa, Domingos SávioOlinda, Ricardo Alves deMioto, Camila Leonardo2022-03-09T13:44:38Zoai:ojs.pkp.sfu.ca:article/26309Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:44:23.104159Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
Estudio del Impacto de las decisiones sanitarias sobre la calidad del agua utilizando Redes de Creencias Bayesianas en la Cuenca del Humedal del Alto Pantanal – Brasil
Estudo do Impacto das Decisões Sanitárias sobre a Qualidade da Água Utilizando Redes de Crenças Bayesianas na Bacia do Pantanal do Alto Pantanal – Brasil
title Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
spellingShingle Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
Silva, Mayara Oliveira da
Aguas residuales
Urbanización
Ecología fluvial.
Sewage
Urbanization
River ecology.
Esgoto
Urbanização
Ecologia do rio.
title_short Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
title_full Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
title_fullStr Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
title_full_unstemmed Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
title_sort Study of the Impact of sanitary decisions over water quality using Bayesian Belief Networks in Upper Pantanal Wetland Basin – Brazil
author Silva, Mayara Oliveira da
author_facet Silva, Mayara Oliveira da
Barbosa, Domingos Sávio
Olinda, Ricardo Alves de
Mioto, Camila Leonardo
author_role author
author2 Barbosa, Domingos Sávio
Olinda, Ricardo Alves de
Mioto, Camila Leonardo
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Mayara Oliveira da
Barbosa, Domingos Sávio
Olinda, Ricardo Alves de
Mioto, Camila Leonardo
dc.subject.por.fl_str_mv Aguas residuales
Urbanización
Ecología fluvial.
Sewage
Urbanization
River ecology.
Esgoto
Urbanização
Ecologia do rio.
topic Aguas residuales
Urbanización
Ecología fluvial.
Sewage
Urbanization
River ecology.
Esgoto
Urbanização
Ecologia do rio.
description Bayesian Belief Networks (BBN) modeling the water quality has become popular due to advances in computational techniques. For this instance, BBN is a useful tool to modeling the relationship between water quality data and population or urbanization parameters on a watershed scale. This method can combine primary water quality data and decision parameters and help scientists and decision-makers analyze several scenarios on a watershed, including the effect of scale. This paper aims to analyze and discuss the application of Bayesian Belief Network (BBN) on the relationship between watershed water quality and sanitary management indicators, studying a case on the Pantanal Wetland tributary watershed. Two scales BBN were constructed using ten years of water quality and sewage management datasets. Both BBNs were responsive and sensitive to water quality parameters. The Total Nitrogen and E. coli were de most essential parameters to simulate changes in water quality scenarios. The simulated scenarios showed structural limitations about the Pantanal Wetland Cities' sanitary system in the present study. We strongly recommend a review of the goals of sanitary structure and services and alert to the risk of a sanitary crisis in Pantanal Wetland.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/26309
10.33448/rsd-v11i3.26309
url https://rsdjournal.org/index.php/rsd/article/view/26309
identifier_str_mv 10.33448/rsd-v11i3.26309
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/26309/23162
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 3; e21011326309
Research, Society and Development; Vol. 11 Núm. 3; e21011326309
Research, Society and Development; v. 11 n. 3; e21011326309
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052835216490496

Registros relacionados