RELAÇÃO ENTRE A MATÉRIA ORGÂNICA E BIOMOLÉCULAS PRESENTES EM CURSOS D’ÁGUA QUE SOFREM INFLUÊNCIA DE ORDEM VARIADA

• Ano de defesa: 2013
• Autor(a) principal: Ribicki, Ariane Caroline
• Orientador(a): Costa, Wilson
• Banca de defesa: Abate, Gilberto , Marques, Mariza Boscacci
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: UNIVERSIDADE ESTADUAL DE PONTA GROSSA
• Programa de Pós-Graduação: Programa de Pós-Graduação em Química Aplicada
• Departamento: Química
• País: BR
• Palavras-chave em Português: águas superficiais; matéria orgânica; análises estatísticas
• Palavras-chave em Inglês: surface water; organic matter; statistical analyzes
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::QUIMICA
• Link de acesso: http://tede2.uepg.br/jspui/handle/prefix/2104

The domestic sewage discharge and decomposition of plants and animals are the most common sources of organic matter in the aquatic environment and their presence deserves special attention, it is the main polluter of surface waters, which consist primarily of biomolecules such as proteins, carbohydrates and lipids. Thus, this work aimed to study the relationship between organic matter and biomolecules on watercourses Pitangui River basin, which are influenced by varying order, such as streams that flow into these watercourses, an effluent discharge of SANEPAR Wastewater Treatment Effluents (WTE) and influences of agricultural and urban areas. For this, the samples were collected weekly from February to August 2012 totaling 22 samples in 5 sites located in Pilão de Pedra Stream, Verde River and Pitangui River. The parameters determined were water temperature, DO, BOD, COD, TP, OP, TKN, proteins, carbohydrates and lipids. The results were analyzed using statistical tests and analyzes as the Scott-Knott, Pearson’s matrices and Principal Component Analysis (PCA) for each sampling site. By Scott-Knott was observed that site 3 presented the highest average for most parameters and statistical differences, due to the WTE effluent discharge. Sites 1 and 2 were statistically equal for most parameters, as well as between sites 4 and 5. By Pearson’s correlations, it was possible to determine the influence of large biological growth and organic matter decomposition in the sampling sites. PCA showed similar results to the Pearson’s correlations results, identifying the rainfall as one of the significant influences for the Pilão de Pedra Stream and Verde River samples.