Modeling Applications in Environmental Bioremediation Studies

  • Mahmoud Nasr


Bioremediation and biodegradation processes in environmental studies involve a high degree of nonlinearity owing to the multiple and complex physical, biological, and chemical reactions. This chapter attempted to represent different modeling and statistical techniques that have been recently employed for describing the environmental systems that cover carbonaceous removal, nitrification, denitrification, and other microorganism activities. Activated sludge models (ASMs), viz., ASM1, ASM2, ASM2d, and ASM3, were used for an adequate description of biological treatment processes including nitrogen and phosphorus removals, as well as the degradation of organic carbons. In addition, Langmuir, Freundlich, Dubinin-Radushkevich, and Temkin models were developed to demonstrate the adsorption of metal ions from aqueous solutions onto solid materials. Moreover, statistical analysis, e.g., principal component analysis, clustering, dendrogram, and decision trees, were used for assessment of water quality in aquatic environments. Furthermore, the chapter included artificial intelligence methods such as artificial neural network and fuzzy inference system for simulation, prediction, and control of the treatment processes and environmental systems. These modeling tools were supported with literature cases that employed innovative methods within the field of bioremediation and biodegradation.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Mahmoud Nasr
    • 1
  1. 1.Sanitary Engineering Department, Faculty of EngineeringAlexandria UniversityAlexandriaEgypt

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