Ferramenta estatística para controle de estações de tratamento de efluentes industriais

• Autor(a) principal: Dias, Karine Marinho do Nascimento
• Data de Publicação: 2019
• Outros Autores: [e-mail]
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/19850
• topic: Environmental engineering; Water treatment plants; Water quality management; Measuring instruments; Engenharia ambiental; Água - Estações de tratamento; Controle de qualidade da água; Instrumentos de medição; ENGENHARIAS::ENGENHARIA SANITARIA::SANEAMENTO AMBIENTAL::CONTROLE DA POLUICAO

Industrially, water can be used at various times, such as incorporation into the product, machine washes, pipes, floors, among others (GIORDANO and SURERUS, 2015). With the need to control effluents before being discharged into hydraulic bodies, according to Brazilian legislation, the treatment of industrial effluents is necessary. In this sense, the ETEIs must monitor the quality standards established by laws regarding industrial effluent, to comply with the restrictions and limits imposed by the environmental license. Often the control of the station is done through several spreadsheets and reports in an individualized and non-systematic way. The objective of this research is the production of a statistical tool able to analyze, through indirect measurement of the organic matter present in the effluent, the efficiency of an industrial effluent treatment plant in relation to BOD and COD, having as case study a condominium of food industries in the city of Rio de Janeiro. The methodology was based on the application of a statistical tool using the EXCEL software, by the following steps: imputation of the original data, exploratory descriptive analysis, application of control charts, station efficiency analysis, low efficiency alert production, presentation results and the generation of a final report. As a result, the tool obtained positive results, allowing the user to have, in only one program, the compilation of indirect analyzes of organic matter and generation of station efficiency. Regarding the case study, the station presented efficiency above 97% in all analyzed days. Below 98% there were four BOD results and one COD result. The system identified the date of these analyzes, as well as filtered the results themselves, achieving the objectives of the work.