Predictive Model for PAH Degradation in Soil Amended with Mushroom

Predictive Model for PAH Degradation in Soil Amended with Mushroom

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-2
Year of Publication : 2019
Authors : Woyengibunugha Ere, And Balogun Timothy, Ayodeji
DOI :  10.14445/22315381/IJETT-V67I2P201

Citation 

MLA Style: Woyengibunugha Ere, And Balogun Timothy, Ayodeji "Predictive Model for PAH Degradation in Soil Amended with Mushroom" International Journal of Engineering Trends and Technology 67.2 (2019): 1-6.

APA Style:Woyengibunugha Ere, And Balogun Timothy, Ayodeji (2019). Predictive Model for PAH Degradation in Soil Amended with Mushroom. International Journal of Engineering Trends and Technology, 67(2), 1-6.

Abstract
Experiment investigation was carried out to model the degradation of poly aromatic hydrocarbon (PAH) in crude oil polluted Niger Delta oxisoils as mediated by parasitic, symbiotic and saprophytic mushroom. Predetermined amounts of mushroom were added to fixed amount of the crude oil contaminated soil in six batch reactors and monitored for a period of 90 days. Soil physiochemical properties including PAH, moisture content, organic carbon, Total Hydrocarbon content Total Nitrogen, available phosphorus and pH were determined and used as indices for evaluating the levels of pollution and remediation. Experimental PAH data obtained were then fitted to first – order kinetics. Results showed that the values of the First –order kinetic constant (Km) across the treatment reactors averaged 0.3623 day-1. Moreover, the predicted PAH data compared well with the experimental results with the coefficient of determination (r2) averaging 0.9538, suggesting that 98% of the variability in the entire data set was explained by the model.

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Keywords
Poly aromatic Hydrocarbon, Degradation, Soil, Mushroom, Modelling.