Avaliação da metodologia IQAFAL nas bacias contribuintes da Lagoa Rodrigo de Freitas, RJ, Brasil.

• Autor(a) principal: Coimbra, Carolina Mendes
• Data de Publicação: 2011
• 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/1/10955
• topic: Environmental Engineering; Water quality index; Fuzzy logic; Lotic environments; Basin of The Rodrigo de Freitas Lagoon-RJ; Engenharia Ambiental; Índice de qualidade de água; Lógica nebulosa; Ambientes lóticos. Bacia da Lagoa Rodrigo de Freitas-RJ; CNPQ::ENGENHARIAS

The increasing anthropogenic pressure imposes the need for a systematic monitoring of water and its aquatic environments. The development of Water Quality Indexes, WQIs (IQAs, acronym in Portuguese) aims to turn data into accessible and easy understandable information for managers and water users, in order to reflect the deterioration of this resource in terms of watershed, throughout the time. The State of Rio de Janeiro Environmental Institute (INEA) has adopted a new Water Quality Index for lotic environments, based on fuzzy logic, the WQI, developed for the study in the range of the Paraíba do Sul river. The main goal of this study is to apply IQAFAL to the dos Macacos , the Cabeça , and the Rainha rivers, which are tributary rivers of the drainage basin of the Rodrigo de Freitas Lagoon, of a great socio-political-environmental interest for the city of Rio de Janeiro. The aim is to analyze their suitability in synthesizing the water quality in small river basin and primordially urban. To this end, we used physical, chemical and biological data from INEA, in the period 2003 to 2010. The results showed that the WQI was able to evidence the water quality in a satisfactory way and consistent with the available records and the perceptions of experts about the real quality of the rivers. In other words, this index was more sensitive to bad conditions, showing the true condition of these water bodies, unlike WQICETESB, which classifies these waters as average quality ones. The results also confirm the advantages of this index, observed in previous studies, especially its ability to identify the variables of water quality which are more decisive for the index outcome, through the study of subindexes.