SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING
Estimating efficiencies required for sewage treatment plants within a river watershed, where there are usually multiple sewage discharges and water withdrawals points in watercourses, presenting different quality conditions and sewage assimilation capacities, is a complex task. In this context, comb...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Engenharia Sanitária e Ambiental
2020-10-01
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| Series: | Revista Brasileira de Ciências Ambientais |
| Subjects: | |
| Online Access: | http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/731 |
| _version_ | 1818652527895248896 |
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| author | Lucas Gonçalves Rocha Karinnie Nascimento de Almeida José Antonio Tosta dos Reis Antonio Sergio Ferreira Mendonça Fernando das Graças Braga da Silva |
| author_facet | Lucas Gonçalves Rocha Karinnie Nascimento de Almeida José Antonio Tosta dos Reis Antonio Sergio Ferreira Mendonça Fernando das Graças Braga da Silva |
| author_sort | Lucas Gonçalves Rocha |
| collection | DOAJ |
| description | Estimating efficiencies required for sewage treatment plants within a river watershed, where there are usually multiple sewage discharges and water withdrawals points in watercourses, presenting different quality conditions and sewage assimilation capacities, is a complex task. In this context, combined optimization techniques and water quality modeling can be important tools to support sewage treatment efficiencies appropriation processes. In the present paper, QUAL-UFMG water quality model and Nonlinear Programming (NLP) are jointly applied to sewage treatment levels selection for the river Pardo’s (watercourse located in Espírito Santo State, Southern region, Brazil) watershed different urban areas. Four different optimization models were tested for estimating the minimum organic matter removal efficiencies. The results indicate strong dependence between the estimated minimum organic matter removal efficiencies within the watershed and equity measures incorporated in the optimization models. |
| first_indexed | 2024-12-17T02:23:26Z |
| format | Article |
| id | doaj.art-5818c811d252483c9396b98b1904b617 |
| institution | Directory Open Access Journal |
| issn | 1808-4524 2176-9478 |
| language | English |
| last_indexed | 2024-12-17T02:23:26Z |
| publishDate | 2020-10-01 |
| publisher | Associação Brasileira de Engenharia Sanitária e Ambiental |
| record_format | Article |
| series | Revista Brasileira de Ciências Ambientais |
| spelling | doaj.art-5818c811d252483c9396b98b1904b6172022-12-21T22:07:11ZengAssociação Brasileira de Engenharia Sanitária e AmbientalRevista Brasileira de Ciências Ambientais1808-45242176-94782020-10-0111410.5327/Z2176-947820200731731SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELINGLucas Gonçalves Rocha0Karinnie Nascimento de Almeida1José Antonio Tosta dos Reis2Antonio Sergio Ferreira Mendonça3Fernando das Graças Braga da Silva4Universidade Federal do Espírito Santo (UFES)Universidade Federal do Espírito Santo (UFES)Universidade Federal do Espírito Santo (UFES)Universidade Federal do Espírito Santo (UFES)Universidade Federal de Itajubá - UNIFEIEstimating efficiencies required for sewage treatment plants within a river watershed, where there are usually multiple sewage discharges and water withdrawals points in watercourses, presenting different quality conditions and sewage assimilation capacities, is a complex task. In this context, combined optimization techniques and water quality modeling can be important tools to support sewage treatment efficiencies appropriation processes. In the present paper, QUAL-UFMG water quality model and Nonlinear Programming (NLP) are jointly applied to sewage treatment levels selection for the river Pardo’s (watercourse located in Espírito Santo State, Southern region, Brazil) watershed different urban areas. Four different optimization models were tested for estimating the minimum organic matter removal efficiencies. The results indicate strong dependence between the estimated minimum organic matter removal efficiencies within the watershed and equity measures incorporated in the optimization models.http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/731optimizationoptimization modelwater qualitydomestic sewage |
| spellingShingle | Lucas Gonçalves Rocha Karinnie Nascimento de Almeida José Antonio Tosta dos Reis Antonio Sergio Ferreira Mendonça Fernando das Graças Braga da Silva SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING Revista Brasileira de Ciências Ambientais optimization optimization model water quality domestic sewage |
| title | SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING |
| title_full | SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING |
| title_fullStr | SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING |
| title_full_unstemmed | SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING |
| title_short | SEWAGE TREATMENT EFFICIENCIES ESTIMATION FOR URBAN AREAS LOCATED IN THE RIVER PARDO’S WATERSHED BY ASSOCIATING NONLINEAR PROGRAMMING AND WATER QUALITY MODELING |
| title_sort | sewage treatment efficiencies estimation for urban areas located in the river pardo s watershed by associating nonlinear programming and water quality modeling |
| topic | optimization optimization model water quality domestic sewage |
| url | http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/731 |
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