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AI InsightSequence analyses of DGGE bands from Run1 and Run2 were also performed and results indicated that a range of bacteria were present, with 16S rRNA gene sequences similar to groups such as Gallionella, Leptothrix, Crenothrix, and an uncharacterized environmental clone.
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Abstract
In this study a laboratory-scale slow sand filter (SSF) is used for removal of iron and manganese and the effects of various inlet concentrations on removal efficiency were investigated. SSF was operated at a filtration rate of 0.2 m.h-1 with two different synthetic inlet waters (Run1 and Run2). Iron and manganese concentrations in two runs were 1.09±0.13mg.L-1–1.06±0.10 mg.L-1 for Run1 and 2.02±0.15 mg.L-1–2.10±0.14 mg.L-1 for Run2. In Run1, the removal efficiencies of 96.3±2.48%, 92.3±6.1%, 92.6±5.7%, and 55.3±8.3% were obtained for turbidity, iron, manganese and total organic carbon (TOC), respectively. In Run2, on the other hand, the removal efficiencies were obtained as 97.9±1.3%, 93.1±8.1%, 94.4±5.8%, and 55.5±6.8%, respectively. Results suggested that the SSF was the most efficient in turbidity removal at a filtration rate of 0.2 m.h-1. Sequence analyses of DGGE bands from Run1 and Run2 were also performed and results indicated that a range of bacteria were present, with 16S rRNA gene sequences similar to groups such as Gallionella, Leptothrix, Crenothrix, and an uncharacterized environmental clone.