Estudo comparativo da utilização do IQA-NSF e IQA-CCME para análise da qualidade da água no Estado do Rio De Janeiro

• Autor(a) principal: Silveira, Livia Garcia
• Data de Publicação: 2018
• 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/1/13508
• topic: Water Quality Index; CCME; NSF; Índice de Qualidade de Água; CCME; NSF; CNPQ::ENGENHARIAS::ENGENHARIA SANITARIA::RECURSOS HIDRICOS

This paper aims to evaluate comparatively the use of two water quality index for water quality management in the state of Rio de Janeiro, based on monitoring data provided for INEA Instituto Estadual do Ambiente do Rio de Janeiro (State Institute of Environment of Rio de Janeiro). Water quality index are used to characterize the quality of a water body through the integration of different parameters into a single value, and their use facilitates the monitoring of the quality of water bodies over time, as well as their spatial characterization; however, the effectiveness of this monitoring is directly associated with the formulation of the indexes. In the present study, a comparison was made between the results of NSF-WQI, Water Quality Index developed by the National Sanitation Foundation of the United States, which is currently used by several Brazilian bodies, including INEA and the CCME-WQI, Water Quality Index developed by the Canadian Council of Ministers of the Environment. It was based on the premise that the CCME-WQI could be a more adequate indicator for the characterization of water quality than the NSF-WQI, since it is calculated from the comparison between the values for each parameter measured in the monitoring and the "ideal" standard value, usually based on legislation, depending on the purpose of water characterization. For the present study the "ideal" standard was based on the limits determined by CONAMA (a Brazilian council for the environment) Resolution 357/2005 for freshwater class 2. The secondary data used are from several monitoring points in the state in the period between 2014 and 2017. After the calculation was performed the quality analysis signaled by the two indexes and statistical comparison of the results found. The results showed that there is a correlation between the two methods, and that the CCME-WQI can be used to replace the NSF-WQI, with the advantage of presenting an indication of the quality in relation to the proposed framing. The CCME-WQI was also more sensitive to variations in quality than the NSF-WQI. The IQA-CCME's disadvantage is that it is necessary at least four monitoring campaigns to apply it and, for an unstable monitoring as the INEA s, this can be a great limitation