Self-purification of Limoeiro Stream after release of treated effluent

• Grant number: 14/06989-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2014
• End date: January 31, 2016
• Field of knowledge: Engineering - Sanitary Engineering - Water Resources
• Principal Investigator: Renata Ribeiro de Araújo
• Grantee: Tamíris Silva Corrêa
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

Water bodies have the ability to recover naturally after receiving a certain amount of organic matter, however, this capacity is limited and depends on several factors, such process is called self-purification. Thus, this research is focused on the analysis of the self-purification capacity of Limoeiro Stream, which is a class 4 water body, located in the city of Presidente Prudente - SP after release of treated effluent by Limoeiro Sewage Treatment Plant. The analysis in question is based on mathematical modeling Streeter & Phelps (1925), which application depends on the monitoring and quantification of certain limnological variables, which will be held every 4 months at stations located in the stream, totalizing four sections. The first section, called Section 1, is located upstream of the release of treated effluent from the Limoeiro Sewage Treatment Plant in Limoeiro Stream, the variables Biochemical Oxygen Demand (BOD), flow, dissolved oxygen (DO) and temperature will be analyzed. Section 2, is the output of treated effluent by ETE Limoeiro and the variables to be monitored are the same as in Section 1. Section 3, located downstream from Section 2, the BOD and OD variables will be analyzed. Section 4 is located downstream from Section 3, variables DO and BOD will be analyzed. The monitoring results of sections 1 and 2 will be used as input data for Streeter & Phelps (1925) modeling. The results of sections 3 and 4 will be inserted as independent data compared to the results obtained in the modeling. For this, an analysis of simple correlation of dissolved oxygen, acquired by monitoring (independent data) and those generated by the proposed modeling will be used to test whether the modeling is satisfactory.