Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Trabalho de conclusão de curso |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFAM |
Texto Completo: | http://riu.ufam.edu.br/handle/prefix/5984 |
Resumo: | In the State of Amazonas, Brazil, only 22% of the population has wastewater collection in their homes and 19% have wastewater treatment, which is below the national average. One of the main problems facing Brazilian bodies of water is the pollution generated mainly by the discharge of efuents above their autodepuration capacity. In Brazil, the National Council for the Environment establishes standards for the discharge of efuents into bodies of water, as well as their classifcation. Therefore, in this work, environmental modeling in a computational environment through the Scilab software will be used, taking as reference the Biochemical Oxygen Demand (BOD) and Dissolved Oxygen (DO) parameters to study the autodepuration capacity of the Madeira River. All work was carried out through bibliographical research and computer simulations, using the Streeter-Phelps mathematical autodepuration model. The results were compared with current environmental laws to discuss whether they are ideal or can/should be changed. The Streeter-Phelps model proved to be adequate for the study. The Madeira River proved to have a high autodepuration capacity. Even the highest release of 1000 mg/L at a flow rate of 1 m³/s managed to be cleared by Madeira in less than 600 km. In the average flow, in 4 days there was the return of the body of water to the clean water zone. In critical flow, this time was approximately 8 days. Through the evaluation of the simulations according to the release standards, it was concluded that the environmental government agencies can make the release of efuents in the Madeira River more flexible, as the releases did not affect the OD and BOD values beyond the established limits. |
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Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-PhelpsModelagem ambientalAutodepuraçãoRio MadeiraOxigênio Dissolvido (OD)Demanda Bioquímica de Oxigênio (DBO)ENGENHARIASDegradação ambientalImpacto ambiental - AvaliaçãoIn the State of Amazonas, Brazil, only 22% of the population has wastewater collection in their homes and 19% have wastewater treatment, which is below the national average. One of the main problems facing Brazilian bodies of water is the pollution generated mainly by the discharge of efuents above their autodepuration capacity. In Brazil, the National Council for the Environment establishes standards for the discharge of efuents into bodies of water, as well as their classifcation. Therefore, in this work, environmental modeling in a computational environment through the Scilab software will be used, taking as reference the Biochemical Oxygen Demand (BOD) and Dissolved Oxygen (DO) parameters to study the autodepuration capacity of the Madeira River. All work was carried out through bibliographical research and computer simulations, using the Streeter-Phelps mathematical autodepuration model. The results were compared with current environmental laws to discuss whether they are ideal or can/should be changed. The Streeter-Phelps model proved to be adequate for the study. The Madeira River proved to have a high autodepuration capacity. Even the highest release of 1000 mg/L at a flow rate of 1 m³/s managed to be cleared by Madeira in less than 600 km. In the average flow, in 4 days there was the return of the body of water to the clean water zone. In critical flow, this time was approximately 8 days. Through the evaluation of the simulations according to the release standards, it was concluded that the environmental government agencies can make the release of efuents in the Madeira River more flexible, as the releases did not affect the OD and BOD values beyond the established limits.No Amazonas, apenas 22% da população possuem coleta de esgoto em suas residências e 19% contam com o tratamento do mesmo, estando assim, abaixo da média nacional. Um dos principais problemas dos corpos hídricos brasileiros é a poluição gerada principalmente pelo lançamento de efluentes acima da sua capacidade de autodepuração. No Brasil, o Conselho Nacional do Meio Ambiente institui os padrões para lançamentos de efluentes nos copos hídricos, bem como sua classifcação. Portanto, neste trabalho será utilizada modelagem ambiental em ambiente computacional através do software Scilab, tomando como referência os parâmetros de Demanda Bioquímica de Oxigênio (DBO) e Oxigênio Dissolvido (OD) para estudar a capacidade de autodepuração do Rio Madeira. Todo o trabalho foi realizado através de pesquisa bibliográfca e simulações computacionais, utilizando o modelo de autodepuração de StreeterPhelps. Os resultados foram comparados com as resoluções ambientais vigentes para se discutir se são ideais ou podem/devem ser alterados. O modelo de Streeter-Phelps se mostrou adequado para o estudo. O Rio Madeira mostrou possuir uma alta capacidade de autodepuração. Mesmo o lançamento mais alto de 1000 mg/L a uma vazão de 1 m³/s conseguiu ser depurado pelo Rio em menos de 600 km. Na vazão média, em 4 dias houve o retorno do corpo hídrico à zona de águas limpas. Na vazão crítica, esse tempo foi de aproximadamente 8 dias. Através da avaliação das simulações de acordo com os padrões de lançamento, concluiu-se que os órgãos ambientais podem flexibilizar os lançamentos de efluentes no Rio Madeira, pois os lançamentos não afetaram os valores de OD e DBO além dos limites estabelecidos.4SimO tutorial engloba muito pouco da parte de depósito. Fiquei confuso em alguns pontos.BrasilIEAA - Instituto de Educação, Agricultura e Ambiente (Humaitá)ManausEngenharia Ambiental - Bacharelado - HumaitáMafra, Agnes Cristina Oliveirahttp://lattes.cnpq.br/6868423702339380Souza Neto, Marlison Williames Rodrigues de2021-12-02T03:53:42Z2021-11-282021-12-02T03:53:42Z2021-11-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesishttp://riu.ufam.edu.br/handle/prefix/5984porAn error occurred getting the license - uri.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFAMinstname:Universidade Federal do Amazonas (UFAM)instacron:UFAM2021-12-02T17:59:57Zoai:localhost:prefix/5984Repositório InstitucionalPUBhttp://riu.ufam.edu.br/oai/requestopendoar:2021-12-02T17:59:57Repositório Institucional da UFAM - Universidade Federal do Amazonas (UFAM)false |
dc.title.none.fl_str_mv |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps |
title |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps |
spellingShingle |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps Souza Neto, Marlison Williames Rodrigues de Modelagem ambiental Autodepuração Rio Madeira Oxigênio Dissolvido (OD) Demanda Bioquímica de Oxigênio (DBO) ENGENHARIAS Degradação ambiental Impacto ambiental - Avaliação |
title_short |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps |
title_full |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps |
title_fullStr |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps |
title_full_unstemmed |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps |
title_sort |
Modelagem ambiental de autodepuração do Rio Madeira utilizando o modelo Streeter-Phelps |
author |
Souza Neto, Marlison Williames Rodrigues de |
author_facet |
Souza Neto, Marlison Williames Rodrigues de |
author_role |
author |
dc.contributor.none.fl_str_mv |
Mafra, Agnes Cristina Oliveira http://lattes.cnpq.br/6868423702339380 |
dc.contributor.author.fl_str_mv |
Souza Neto, Marlison Williames Rodrigues de |
dc.subject.por.fl_str_mv |
Modelagem ambiental Autodepuração Rio Madeira Oxigênio Dissolvido (OD) Demanda Bioquímica de Oxigênio (DBO) ENGENHARIAS Degradação ambiental Impacto ambiental - Avaliação |
topic |
Modelagem ambiental Autodepuração Rio Madeira Oxigênio Dissolvido (OD) Demanda Bioquímica de Oxigênio (DBO) ENGENHARIAS Degradação ambiental Impacto ambiental - Avaliação |
description |
In the State of Amazonas, Brazil, only 22% of the population has wastewater collection in their homes and 19% have wastewater treatment, which is below the national average. One of the main problems facing Brazilian bodies of water is the pollution generated mainly by the discharge of efuents above their autodepuration capacity. In Brazil, the National Council for the Environment establishes standards for the discharge of efuents into bodies of water, as well as their classifcation. Therefore, in this work, environmental modeling in a computational environment through the Scilab software will be used, taking as reference the Biochemical Oxygen Demand (BOD) and Dissolved Oxygen (DO) parameters to study the autodepuration capacity of the Madeira River. All work was carried out through bibliographical research and computer simulations, using the Streeter-Phelps mathematical autodepuration model. The results were compared with current environmental laws to discuss whether they are ideal or can/should be changed. The Streeter-Phelps model proved to be adequate for the study. The Madeira River proved to have a high autodepuration capacity. Even the highest release of 1000 mg/L at a flow rate of 1 m³/s managed to be cleared by Madeira in less than 600 km. In the average flow, in 4 days there was the return of the body of water to the clean water zone. In critical flow, this time was approximately 8 days. Through the evaluation of the simulations according to the release standards, it was concluded that the environmental government agencies can make the release of efuents in the Madeira River more flexible, as the releases did not affect the OD and BOD values beyond the established limits. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-02T03:53:42Z 2021-11-28 2021-12-02T03:53:42Z 2021-11-22 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
format |
bachelorThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://riu.ufam.edu.br/handle/prefix/5984 |
url |
http://riu.ufam.edu.br/handle/prefix/5984 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
An error occurred getting the license - uri. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
An error occurred getting the license - uri. |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Brasil IEAA - Instituto de Educação, Agricultura e Ambiente (Humaitá) Manaus Engenharia Ambiental - Bacharelado - Humaitá |
publisher.none.fl_str_mv |
Brasil IEAA - Instituto de Educação, Agricultura e Ambiente (Humaitá) Manaus Engenharia Ambiental - Bacharelado - Humaitá |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFAM instname:Universidade Federal do Amazonas (UFAM) instacron:UFAM |
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Universidade Federal do Amazonas (UFAM) |
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UFAM |
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UFAM |
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Repositório Institucional da UFAM |
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Repositório Institucional da UFAM |
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Repositório Institucional da UFAM - Universidade Federal do Amazonas (UFAM) |
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