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Desenvolvimento de software para análise de autodepuração em rios

Sábháilte in:
Sonraí bibleagrafaíochta
Príomhchruthaitheoir: Alberts, Ronald
Dáta a fhoilsithe: 2015
Formáid: Bachelor thesis
Teanga: por
Foinse: Repositório Comum do Brasil - Deposita
Download full: https://deposita.ibict.br/handle/deposita/369
Achoimre: Sewage releases are some of the main pollutant loads in rivers, which spoils water for human consumption as well as destabilize and harm the water body ecosystem. In this context, self-depuration is important in the study of sewage discharges into rivers, as well as in the proper efficiency designing of sewage treatment stations and posterior effluent discharges into rivers. However, the study of self-purification includes several water quality parameters as well as many physical, chemical and biological river data, which make the solution extensive and difficult to solve by hand. Therefore, the use of computational tools becomes essential for efficient and accurate analysis of selfdepuration. In order to facilitate the academic study of self-purification as well as to make the calculation routine faster, a free computerized system in Visual Basic, named QAR-UTFPR, based on the Streeter & Phelps model was developed. The software calculates the biochemical oxygen demand (BOD), dissolved oxygen (DO) and coliforms through the input data of the river, effluent, treatment efficiency, temperature, and kinetic coefficients established by the model (decomposition reaeration, among others). The software is valid only for river stretches where there is only one continuous sewage load point, with or without previous treatment. The parameters are calculated point by point with a step distance defined by the user. Thus, through these points, the software generates the river profile graphics for each of the parameters. For DOB and DO, the software also plots the profile graphics with the treatment efficiency defined by the user. In addition, the user can define the minimum acceptable level of DO to be plotted on the graphic. Since it is a free software with academic purposes, the goal was to establish a clear and intuitive interface, moreover there is extra information for beginners about the input data. The software was tested by an example in the literature and the results were basically the same. Thus, it is concluded that the developed software can serve as an important tool for studies about river self-depuration.
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author Alberts, Ronald
author_browse Alberts, Ronald
author_facet Alberts, Ronald
author_role author
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collection Repositório Comum do Brasil - Deposita
contributor_str_mv Bentes Freire, Flavio
Bentes Freire, Flavio
Nagalli, André
Querne de Carvalho, Karina
dc.contributor.advisor1.fl_str_mv Bentes Freire, Flavio
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5516837837393064
dc.contributor.author.fl_str_mv Alberts, Ronald
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/6249354312310852
dc.contributor.referee1.fl_str_mv Bentes Freire, Flavio
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/5516837837393064
dc.contributor.referee2.fl_str_mv Nagalli, André
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/2654028156219694
dc.contributor.referee3.fl_str_mv Querne de Carvalho, Karina
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/8055585859691419
dc.date.accessioned.fl_str_mv 2023-06-21T13:48:22Z
dc.date.issued.fl_str_mv 2015
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.identifier.uri.fl_str_mv https://deposita.ibict.br/handle/deposita/369
dc.language.iso.fl_str_mv por
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Universidade Tecnológica Federal do Paraná
dc.publisher.none.fl_str_mv Universidade Tecnológica Federal do Paraná
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositório Comum do Brasil - Deposita
instname:Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)
instacron:IBICT
dc.subject.cnpq.fl_str_mv Engenharia Civil
dc.subject.eng.fl_str_mv Self-purification. Dissolved Oxygen (DO). Biological Oxygen Demand (DOB). Coliforms. Mathematical models.
dc.subject.por.fl_str_mv Oxigênio dissolvido
Demanda bioquímica de oxigênio
Coliformes
Modelos matemáticos.
dc.title.por.fl_str_mv Desenvolvimento de software para análise de autodepuração em rios
dc.type.driver.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
description Sewage releases are some of the main pollutant loads in rivers, which spoils water for human consumption as well as destabilize and harm the water body ecosystem. In this context, self-depuration is important in the study of sewage discharges into rivers, as well as in the proper efficiency designing of sewage treatment stations and posterior effluent discharges into rivers. However, the study of self-purification includes several water quality parameters as well as many physical, chemical and biological river data, which make the solution extensive and difficult to solve by hand. Therefore, the use of computational tools becomes essential for efficient and accurate analysis of selfdepuration. In order to facilitate the academic study of self-purification as well as to make the calculation routine faster, a free computerized system in Visual Basic, named QAR-UTFPR, based on the Streeter & Phelps model was developed. The software calculates the biochemical oxygen demand (BOD), dissolved oxygen (DO) and coliforms through the input data of the river, effluent, treatment efficiency, temperature, and kinetic coefficients established by the model (decomposition reaeration, among others). The software is valid only for river stretches where there is only one continuous sewage load point, with or without previous treatment. The parameters are calculated point by point with a step distance defined by the user. Thus, through these points, the software generates the river profile graphics for each of the parameters. For DOB and DO, the software also plots the profile graphics with the treatment efficiency defined by the user. In addition, the user can define the minimum acceptable level of DO to be plotted on the graphic. Since it is a free software with academic purposes, the goal was to establish a clear and intuitive interface, moreover there is extra information for beginners about the input data. The software was tested by an example in the literature and the results were basically the same. Thus, it is concluded that the developed software can serve as an important tool for studies about river self-depuration.
eu_rights_str_mv openAccess
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publishDate 2015
publishDateSort 2015
publisher.none.fl_str_mv Universidade Tecnológica Federal do Paraná
reponame_str Repositório Comum do Brasil - Deposita
repository.mail.fl_str_mv deposita@ibict.br
repository.name.fl_str_mv Repositório Comum do Brasil - Deposita - Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)
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spelling Bentes Freire, Flaviohttp://lattes.cnpq.br/5516837837393064Bentes Freire, Flaviohttp://lattes.cnpq.br/5516837837393064Nagalli, Andréhttp://lattes.cnpq.br/2654028156219694Querne de Carvalho, Karinahttp://lattes.cnpq.br/8055585859691419http://lattes.cnpq.br/6249354312310852Alberts, Ronald2023-06-21T13:48:22Z2015https://deposita.ibict.br/handle/deposita/369Sewage releases are some of the main pollutant loads in rivers, which spoils water for human consumption as well as destabilize and harm the water body ecosystem. In this context, self-depuration is important in the study of sewage discharges into rivers, as well as in the proper efficiency designing of sewage treatment stations and posterior effluent discharges into rivers. However, the study of self-purification includes several water quality parameters as well as many physical, chemical and biological river data, which make the solution extensive and difficult to solve by hand. Therefore, the use of computational tools becomes essential for efficient and accurate analysis of selfdepuration. In order to facilitate the academic study of self-purification as well as to make the calculation routine faster, a free computerized system in Visual Basic, named QAR-UTFPR, based on the Streeter & Phelps model was developed. The software calculates the biochemical oxygen demand (BOD), dissolved oxygen (DO) and coliforms through the input data of the river, effluent, treatment efficiency, temperature, and kinetic coefficients established by the model (decomposition reaeration, among others). The software is valid only for river stretches where there is only one continuous sewage load point, with or without previous treatment. The parameters are calculated point by point with a step distance defined by the user. Thus, through these points, the software generates the river profile graphics for each of the parameters. For DOB and DO, the software also plots the profile graphics with the treatment efficiency defined by the user. In addition, the user can define the minimum acceptable level of DO to be plotted on the graphic. Since it is a free software with academic purposes, the goal was to establish a clear and intuitive interface, moreover there is extra information for beginners about the input data. The software was tested by an example in the literature and the results were basically the same. Thus, it is concluded that the developed software can serve as an important tool for studies about river self-depuration.Lançamentos de esgotos são algumas das principais cargas poluidoras em rios, que comprometem não somente a obtenção de água para consumo humano assim como desestabilizam e prejudicam o ecossistema do corpo hídrico. Neste contexto, a autodepuração é de suma importância no estudo do lançamento de esgoto em rios, assim como no dimensionamento da eficiência de estações de tratamento de esgoto para posterior lançamento de efluentes em corpos hídricos. Contudo, o estudo da autodepuração inclui diversos parâmetros de qualidade da água e também vários dados físicos, químicos e biológicos dos rios, os quais tornam extenso seu equacionamento e de difícil resolução manual. Portanto, o uso de ferramentas computacionais torna-se imprescindível para uma análise da autodepuração eficiente e precisa. No intuito de facilitar o estudo acadêmico da autodepuração assim como dar agilidade nos cálculos, desenvolveu-se no presente trabalho um sistema informatizado livre em Visual Basic, denominado QAR-UTFPR (Qualidade da Água em Rios), baseado no modelo de Streeter & Phelps. Através de dados de entrada do rio, do efluente, da eficiência do tratamento, da temperatura, e de constantes cinéticas estabelecidas pelo modelo (decomposição, reaeração, dentre outras) são calculados os valores de demanda bioquímica de oxigênio (DBO), oxigênio dissolvido (OD) e coliformes. O software é valido apenas para trechos de rios onde há apenas uma carga pontual contínua de esgoto sanitário com ou sem tratamento prévio. Os cálculos dos parâmetros são feitos de forma pontual ao longo do rio, com intervalo de distância entre pontos definido pelo usuário. Então, por meio desses pontos, são gerados os gráficos de perfil do rio para cada uma das variáveis. Cada gráfico contém a curva de perfil com o tratamento prévio definido pelo usuário e a curva de perfil quando não há tratamento algum, além disso é plotado também o limite mínimo aceitável da variável definido pelo usuário. Por se tratar de um software livre, com fins acadêmicos, o objetivo foi estabelecer uma interface de fácil entendimento e utilização, além de haver informações extras para usuários iniciantes e leigos a respeito dos diferentes meios de determinar os dados de entrada mais complexos. Para testar (validar) o software foi utilizado um exemplo da literatura, no qual constatou-se igualdade nos resultados. Dessa forma, conclui-se que o software desenvolvido pode servir como ferramenta importante nos estudos relacionados com a autodepuração em rios.Sul-1application/pdfapplication/pdfporUniversidade Tecnológica Federal do ParanáBrasilUniversidade Tecnológica Federal do ParanáOxigênio dissolvidoDemanda bioquímica de oxigênioColiformesModelos matemáticos.Self-purification. Dissolved Oxygen (DO). Biological Oxygen Demand (DOB). Coliforms. Mathematical models.Engenharia CivilDesenvolvimento de software para análise de autodepuração em riosinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Comum do Brasil - Depositainstname:Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)instacron:IBICTTEXTCT_DACOC_2015_1_5.pdf.txtWritten by FormatFilter org.dspace.app.mediafilter.TikaTextExtractionFilter on 2025-06-06T20:17:17Z (GMT).Extracted texttext/plain104824https://deposita.ibict.br/bitstreams/e9d6cc17-8dd6-4652-a80c-e6021a660dcc/download28a2110037c9b4941cc3b3ef13d22a6aMD53falseAnonymousREADTHUMBNAILCT_DACOC_2015_1_5.pdf.jpgWritten by FormatFilter org.dspace.app.mediafilter.PDFBoxThumbnail on 2025-06-06T20:17:17Z (GMT).Generated Thumbnailimage/jpeg2691https://deposita.ibict.br/bitstreams/a28fa864-35e9-4b1a-9988-207f1a936d4c/download6362811d9e08d73b2bb05641e5fb2631MD54falseAnonymousREADLICENSElicense.txtWritten by org.dspace.content.LicenseUtilstext/plain; charset=utf-81867https://deposita.ibict.br/bitstreams/cda07eda-3886-4193-891a-17facee12e59/downloada7c148eec59885ba1ba6d14692be8465MD51falseAnonymousREADORIGINALCT_DACOC_2015_1_5.pdf/dspace/deposita/upload/CT_DACOC_2015_1_5.pdfTrabalho de Conclusão de Curso completoapplication/pdf1994936https://deposita.ibict.br/bitstreams/589094e0-2013-416e-bffd-b9fb27ab00f3/downloadda9a9537aa585f74957c79e72a13ed80MD52trueAnonymousREADdeposita/3692026-03-20T17:40:36.784588Zopen.accessoai:deposita.ibict.br:deposita/369https://deposita.ibict.brRepositório ComumPUBhttp://deposita.ibict.br/oai/requestdeposita@ibict.bropendoar:46582026-03-20T17:40:36Repositório Comum do Brasil - Deposita - Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)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
spellingShingle Desenvolvimento de software para análise de autodepuração em rios
Alberts, Ronald
Oxigênio dissolvido
Demanda bioquímica de oxigênio
Coliformes
Modelos matemáticos.
Self-purification. Dissolved Oxygen (DO). Biological Oxygen Demand (DOB). Coliforms. Mathematical models.
Engenharia Civil
status_str publishedVersion
title Desenvolvimento de software para análise de autodepuração em rios
title_full Desenvolvimento de software para análise de autodepuração em rios
title_fullStr Desenvolvimento de software para análise de autodepuração em rios
title_full_unstemmed Desenvolvimento de software para análise de autodepuração em rios
title_short Desenvolvimento de software para análise de autodepuração em rios
title_sort Desenvolvimento de software para análise de autodepuração em rios
topic Oxigênio dissolvido
Demanda bioquímica de oxigênio
Coliformes
Modelos matemáticos.
Self-purification. Dissolved Oxygen (DO). Biological Oxygen Demand (DOB). Coliforms. Mathematical models.
Engenharia Civil
url https://deposita.ibict.br/handle/deposita/369