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Title of Journal: Int J Environ Sci Technol

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Abbravation: International Journal of Environmental Science and Technology

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Springer Berlin Heidelberg

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DOI

10.1016/0010-4825(84)90018-0

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ISSN

1735-2630

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Characterization of microbial communities in a gra

Authors: S Feng C Chen Q F Wang X J Zhang Z Y Yang S G Xie
Publish Date: 2013/02/12
Volume: 10, Issue: 5, Pages: 917-922
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Abstract

Modification of conventional rapid sand filter into granular activated carbon–sand dual media filter has become increasingly attractive to drinking water producers in many Chinese urban regions In this study a pilotscale dual media filter was constructed to monitor its performance The operational results indicated that the dual media filter performed well both on nitrification and on reduction of chemical oxygen demand Microbial community structures at different sampling sites were also compared using 16S ribosomal ribonucleic acid gene clone library analysis to identify the spatial heterogeneity the filter Clone library analysis illustrated the difference of microbial community structure and an increase of microbial diversity along the filter depth Moreover potential pathogens from genera Chromobacterium and Sphingomonas were detected in the filter samples which deserved further serious consideration in downstream treatment such as disinfection These findings also provided an illustration of the utility of molecular techniques to discover microbial community change and potential pathogens in the drinking water biofilters


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Other Papers In This Journal:

  1. Double aluminum recovery and its reuse in wastewater treatment
  2. Efficiency of chelating agents in retaining sludge-borne heavy metals in intensively applied agricultural soils
  3. Assessment of noise exposure and associated health risk in school environment
  4. Exploiting the intrinsic hydrocarbon-degrading microbial capacities in oil tank bottom sludge and waste soil for sludge bioremediation
  5. Determination of radon exhalation from granite, dolerite and marbles decorative stones of the Azad Kashmir area, Pakistan
  6. Two-phase anaerobic co-digestion of used vegetable oils’ wastes and pig manure
  7. Sorption of Cd 2+ ions onto zeolite synthesized from perlite waste
  8. Isotherms for the sorption of zinc and copper onto kaolinite: comparison of various error functions
  9. Water quality index of the ground water of bitumen deposit impacted farm settlements using entropy weighted method
  10. Removal of uranium(VI) from aqueous solutions using Eucalyptus citriodora distillation sludge
  11. Willingness to pay for improved residential waste management in a developing country
  12. Aerobic and anaerobic ammonium-oxidising bacterial enrichment from municipal solid waste
  13. Biosorption of heavy metals by organic carbon from spent mushroom substrates and their raw materials
  14. Bacterial consortium expressing surface displayed, intra- and extracellular lipases and pseudopyronine B for the degradation of oil
  15. The influence of Lemna sp. and Spirogyra sp. on the removal of pharmaceuticals and endocrine disruptors in treated wastewaters
  16. An inexact optimization model associated with two robust programming approaches for water resources management
  17. Comparing cactus (Opuntia spp.) and alum as coagulants for water treatment at Al-Mashroo Canal: a case study
  18. Identifying the underlying constructs linking urban form and travel behaviour using a grounded theory approach
  19. Adsorption of ferric ions onto natural feldspar: kinetic modeling and adsorption isotherm
  20. The use of ultrasonic frequencies to control the bloom formation, regrowth, and eco-toxicity in Microcystis aeruginosa
  21. Preparation and characterization of gum karaya hydrogel nanocomposite flocculant for metal ions removal from mine effluents
  22. Adsorption of lead using a new green material obtained from Portulaca plant
  23. Removal of nicotine from indoor air using titania-modified polypropylene fibers: nicotine decomposition by titania-modified polypropylene fibers
  24. Exhaust emissions of new high-performance motorcycles in hot and cold conditions
  25. Prediction of copper and chromium concentrations in bean leaves based on an artificial neural network model

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