Abstract
In this paper, we drive the concentration of microbial growth in the groundwater system. This model is based on the system of non-linear differential equations. The system of equations is solved by using the new homotopy perturbation method. We followed toluene degradation and bacterial growth by measuring toluene and oxygen concentrations and by direct cell counts. And the total amount of toluene degraded by Pseudomonal putida F1 in the sediment columns increased with rising concentration of the source and flow rate. In contrast, the efficiency of toluene removal slowly decreases. The approximate analytical expression of this model, the concentration of toluene and bacteria also consideration of a metabolite concentration, the microbial growth of attached and suspended bacteria, depending on the simultaneous presence of toluene. Finally, oxygen and dual Monod kinetics are discussed. The analytical solutions are also compared with simulation results and satisfactory the agreement is noted.
Highlights
The reliability of the design and cost-efficient bioremediation methods, the controls and limitations of the biodegradation potential of natural microbial communities in aquifers [1]
Recent research on the biodegradation of aromatic hydrocarbons in flow through laboratory and field experiments have shed some light on the limitation of biodegradation by transverse dispersive mixing [4]
We model microbial growth of attached and suspended bacteria, depending on the simultaneous presence of toluene and oxygen, by dual Monod kinetics [20]: rgartot wth in which max [s-1] is the maximum specific growth rate constant, ctol and cox [ M], X att [ L se1d ] and
Summary
The reliability of the design and cost-efficient bioremediation methods, the controls and limitations of the biodegradation potential of natural microbial communities in aquifers [1]. The attachment to suspended cells ratio was the highest at the lowest concentrations of substrates, and vice versa It is well trend from marine sediments like aquifers [13 - 16]. In additional factors such as food web interactions, grazing, or resource rivalry as well as multiple constraints play an important role within natural microbial communities [17]. In this communication, the analytical expression for concentration profiles are derived using a new Homotopy perturbation method. Kmet Concentration of the metabolite with the corresponding half-saturation concentration [μM]
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