Wastewater Effluent Prediction Based on Decision Tree

Abstract

Wastewater treatment systems speed up natural cleansing process to achieve the desired treatment objectives. Prediction of the obtained wastewater treatment characteristics provides to set up existing process steps and it is important to achieve maximum process efficiency. In this study, a computer aided decision tree based on gini algorithm is developed for estimating  important output parameters of wastewater such as  pH, DBO, DQO, and SS.  Used dataset in this study was obtained from the University of California Irvine (UCI) Machine Learning library.