Intelligent Estimation of Total Suspended Solids (TSS) in Wastewater Treatment Plants Utilizing Non-Liner Regression Analysis

Abstract

The hazardous pollutants in industrial wastewater could risk the ecosystem at danger if it is not properly treated. Industrial wastewater, which contains more pollution than municipal wastewater, is a major part of the wastewater produced in modern countries. Monitoring the physico-chemical parameters such as total suspended solids (TSS) in wastewater treatment plants could reduce environmental impacts; however, it could be laborious and time consuming. Therefore, using intelligent models for measuring these parameters could simplify and expedite the procedures. In this study, the amount of the facile measure total dissolved solids (TDS) was evaluated by using electrical conductivity (EC) conversion, and then the amounts of total solids (TS) and total suspended solids (TSS) were calculated by statistical and regression analysis.