Estimation of Filter Bed Efficiency at Biotechnologically Intensified Process of Water Deferrization and Demanganation on Rapid Filters
DOI:
https://doi.org/10.20535/1810-0546.2017.6.111985Keywords:
Zeolite, Biotechnological intensification, Activated carbon, Deferrization, DemanganationAbstract
Background. The results of investigations of various types of filter beds (zeolite, quartz sand, keramzit, activated carbon), which are used as beds for rapid filters at biotechnological intensification for ground water defferization and demanganation, are presented.
Objective. The aim of the paper is to evaluate the effectiveness of different types of filtering materials at biotechnological intensification of processes of water defferization and demanganation on rapid filters, both in terms of microorganism fixation and biomass accumulation in the filter loading, and from the point of view of the possible depth of iron and manganese compound removal.
Methods. The research was carried out on the model installation of filters with different types of loading (single and multilayer), artificially populated with microorganisms of the cultures of Leptothrix and Sphaerotillus. The investigated water was characterized by high level of iron and manganese. After the set biomass rise time, the number of microorganisms per unit volume of filter loading was determined, and the defferization and demanganation effectiveness was evaluated.
Results. The obtained results showed a high ability of activated carbon to accumulate the biomass of bacteria during the filtration (4500 CFU/cm3), but the defferization and demanganation percentage was low (65 % and 60 %, respectively). When water was filtered through other research materials, less biomass accumulation was observed, as well as the overall efficiency of the treatment process. For sand-zeolite-coal loading, the removal efficiency was up to 90 % for iron, and for manganese – up to 71 %.
Conclusions. The obtained results showed the prospects of using three-layer sand-zeolite-coal loading and the need to determine the optimal technological parameters.
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