Modeling of electro-coagulation-flotation process for olive oil mill wastewater treatment

During the past decade, the high volumes of information have been stored in the databases. Today, the quantity of the accessible data becomes double in each five-years, however, according to researches, many organizations can analyze only one percent of these information which gained expensively. Undoubtedly, modeling for performed activities and researches can help us to use our capitals. So, this matter encourages us to industrialize electro coagulationflotation (ECF) process to remove pollutants from olive oil mill wastewater. One of the scientific methods is using least squares regression model. This study done based on mathematical modelof least squares regression method. Coefficient’s test for mathematical model of each pollutantwas analyzed by 95 percent of confidence level. The determination coefficient (R2) for mathematical model of chemical oxygen demand and phenolic compounds removal were 79 and 81 percent respectively. All of these models’ coefficients in 95% probability are significant andhave good level of confidence. Undoubtedly, modeling for performed activities and researches by eliciting real and useful knowledge of information is very effective in preserving financial and work force resources in order to protects environment and develop countries

Keywords:

Modeling , least squares regression , electro-coagulation-flotation , and olive oil mill wastewater