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Eastern-European Journal of Enterprise Technologies
Article . 2019 . Peer-reviewed
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Prediction of the process of biological deferrization of underground water in a bioreactor

Authors: Alexander Kvartenko; Igor Prysiazhniuk;

Prediction of the process of biological deferrization of underground water in a bioreactor

Abstract

Research in the field of groundwater treatment indicates the prospects for the development of its complex purification involving various morphological types of microorganisms, fixed on inert contact materials. It was indicated that at certain parameters of water quality (pH 6–7; Eh 50...200 mV, in the presence of dissolved carbon dioxide and at magnitudes of permanganate oxidation of up to 5 mg О 2 /dm 3 ), development of bacteria of genus Gallionella prevails in groundwater, and development of bacteria of genera Lepthothrix, Crenothrix prevails at pH values of 6.5–7.5; Eh=–200...300 mV and PО>5 mg О 2 /dm 3 . This provides a series of advantages in the use of the biochemical method over conventional physical and chemical methods, in particular, acceleration of the process of water purification from ferrite compounds. It was shown that much less attention was paid to modeling the kinetics of the processes of treatment of underground water in bioreactors than to conventional physical-chemical methods, for which modern mathematical models were developed. That is why the development of the direction of modeling the biochemical process of water purification from iron compounds is a relevant task. The mathematical model is represented by the Cauchy problem for a nonlinear system of differential equations in partial derivatives of the first order. The system of the Cauchy problem consists of five equations with five unknown functions, which describe the distribution the concentration of ferrum cations, bacteria and the matrix structures in two phases (movable and immobilized) both in space and time. When constructing the model, we used both technological (maximum contamination capacity (2.6 kg/m 3 ), boundary magnitude of the bacteria biomass in the matrix structures (9.5 g/m 3 ), maximum specific rate of their growth (0.17–0.18 h –1 ), saturation coefficient (0.65–0.7 g/m), flow rate in the range of 5–20 m/h), and design parameters (the height of contact load of a bioreactor – 1.3 m). In the considered model, the time of effective operation of a bioreactor depends on the concentrations of cations of Fe 2+ , which in natural waters can be in the range of 0.5–20 mg/dm 3 , the number of ferrobacteria (10 2 –10 4 kl/dm 3 ), as well as the water flow rate. The inverse influence of the characteristics of the process, in particular, the concentration of matrix structures in the inter-pore space, as well as characteristics of the medium with the help of coefficients of mass exchange and porosity, were taken into account. The model allows determining the optimum operation time of a bioreactor between washings

Keywords

біохімічні процеси; кінетична модель біологічного знезалізнення; матриксні структури; метод характеристик, биохимические процессы; кинетическая модель биологического обезжелезивания; матриксные структуры; метод характеристик, UDC 628.16: 517.95, biochemical processes; kinetic model of biological deferrization; matrix structures; method of characteristics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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