Índice de qualidade de efluentes em estações de tratamento de esgotos – ETE Baldo e ETE Ponta Negra

Abstract

Rapid population growth in large urban centers has increased the need for fundamental services such as sanitation. This scenario is very worrying given the decline in quality water availability worldwide, a phenomenon confirmed by water crises in several countries, and the development of more advanced techniques for water treatment. The present study seeks to propose an Effluent Quality Index (EQF), based on real-time sewage treatment station (STS) monitoring data to reduce impacts on the discharge of these effluents into water bodies. In this case it is an applied research, since it is the creation of an EQF for the two stations two STS of Rio Grande do Norte Baldo and Ponta Negra, with data obtained from a secondary database and collections covering the years 2014-2017. Through the use of statistical and blurry tools in the current regulations, four classes of effluent framing were defined, ranging from 1 to 4 and representing respectively very good, good, regular and bad. Thus, 4 scenarios were created: case 1 - sum total IQE with discretized data; case 2 - sum total IQE without data discretization; case 3 - productive IQE with discretized data; and case 4 - productive IQE without data discretization. In the Ponta Negra STS in cases 1, 2 and 4 the treated effluent samples were considered regular as they classify as Class 3, in this case the limits provided for in the standard. Regarding the Baldo STS, scenarios 1, 2 and 4 classified the treated STS effluent as Class 2, stating that the data are in a range considered to be a good effluent.