5th International Conference on Sustainable Development (ICSD 2019), Belgrade, Serbia, 17 - 21 April 2019, pp.15
One of the most detrimental water pollutant is heavy metal ions. It increases in the rate of
industrialization and causes severe health hazards on human beings. The removal of heavy metal
ions from wastewater is essential before releasing them into the natural environment because of
their toxicity. In this study, estimation of Cr (VI) removal from waste water was studied using
nonlinear regression model. It contains mathematical equation of a complex chemical process.
Therefore, the value of the proposed model is to be convenient and robust method to predict the Cr
(VI) removal with minimum process knowledge. Adsorbent dosage, pH, temperature and initial
concentration, were selected as the input variables, and Cr (VI) removal efficiency chosen as the
output parameter of nonlinear model. The performance of the proposed model in this study was
evaluated for Cr(VI) uptake rate in terms of root mean square error (RMSE) and correlation
coefficient (R2). The validation confirms that the major advantage of this model is its capability to
compute removal efficiency of Cr(VI) simply. The objective of this study was therefore to investigate
the removal of Cr(VI) ions in aqueous solutions using non-linear regression model to explore the
effects of factors on the adsorption. Thereby, the proposed model maintains a useful tool for
prediction removal efficiency for Cr(VI).