Determining The Degradation Rate Constant for Model Prediction of TPH in Soil

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@article{1706157,
      author = {Dr. Uku Eruni Philip},
      title = {Determining The Degradation Rate Constant for Model Prediction of TPH in Soil},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {2},
      pages = {393-398},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706157.pdf},
      abstract = {This study explores the degradation of Total Petroleum Hydrocarbons (TPH) in soil through various kinetic models, focusing on the first-order, second-order, and Michaelis-Menten models. Extensive research has highlighted the first-order degradation rate as the predominant model for predicting TPH decay over time. To enhance the predictive accuracy of TPH degradation, this study compares the effectiveness of these models by applying them to soils amended with moringa and elephant grass. Key to this process is the accurate determination of kinetic parameters. The first-order degradation rate constant was calculated using experimental data and evaluated through graphical plots. These plots illustrate the relationship between TPH concentration and time, allowing for the extraction of degradation rate constants (k) for different soil treatments. For instance, the data indicated that the degradation rate constant (k) increased with the weight of moringa applied, suggesting a higher degradation efficiency with greater amounts of the treatment. The study also contrasts the obtained constants with previous literature values, showing that the constants fall within established ranges for various treatments, including beans shell and compost. Tables 1 and 2 summarize the degradation rate constants for different treatment scenarios and compare them with values reported in prior studies. This comparison underscores the validity of the obtained results and provides a framework for predicting TPH degradation based on the applied soil amendments. Ultimately, this study contributes to a deeper understanding of TPH bioremediation in soil environments by evaluating and comparing kinetic models for practical application.},
      month = {August},
  }