Title: Kinetic Model of TPH Prediction During Bioremediation of Crude Oil Contaminated Soil Using Saw Dust as Biostimulant
Authors: Jesinta Osere, Miebaka Josiah Ayotamuno, Reuben Nwomanda Okparanma
Volume: 9
Issue: 2
Pages: 19-25
Publication Date: 2025/02/28
Abstract:
The study of kinetic model development for bioremediation of crude oil contaminated soil using saw dust (SD) was conducted based on the Total Petroleum Hydrocarbon (TPH) content. A total of 1000g of soil which was artificially contaminated with Bonny Light crude at concentration of 2.06kg/Litre was blended with 400g of saw dust (SD) as biostimulant within 120 days remediation period. The research was carried out in the Rivers Institute of Agricultural Research and Training (RIART) in Rivers State University, Nkpolu, Port Harcourt, Rivers State, Nigeria. The percentage decrease was 81%. The soil nutrient (saw dust), moisture content and pH (6.5) were the important soil factors known to affect the rate of contaminant degradation. The experimented results were fitted into the first order kinetics to generate the predicted values. The experimental results were plotted against the predicted values to determine the coefficient of determination (r2) value of 0.8661 indicating that the experimental data can be expressed by the model. Results were validated using Residual Prediction Deviation (RPD). The RPD value was 2.39 which indicate better predictive performance of the model.