Literature DB >> 19487008

A biofilm model for prediction of pollutant transformation in sewers.

Feng Jiang1, Derek Hoi-Wai Leung, Shiyu Li, Guang-Hao Chen, Satoshi Okabe, Mark C M van Loosdrecht.   

Abstract

This study developed a new sewer biofilm model to simulate the pollutant transformation and biofilm variation in sewers under aerobic, anoxic and anaerobic conditions. The biofilm model can describe the activities of heterotrophic, autotrophic, and sulfate-reducing bacteria (SRB) in the biofilm as well as the variations in biofilm thickness, the spatial profiles of SRB population and biofilm density. The model can describe dynamic biofilm growth, multiple biomass evolution and competitions among organic oxidation, denitrification, nitrification, sulfate reduction and sulfide oxidation in a heterogeneous biofilm growing in a sewer. The model has been extensively verified by three different approaches, including direct verification by measurement of the spatial concentration profiles of dissolved oxygen, nitrate, ammonia, and hydrogen sulfide in sewer biofilm. The spatial distribution profile of SRB in sewer biofilm was determined from the fluorescent in situ hybridization (FISH) images taken by a confocal laser scanning microscope (CLSM) and were predicted well by the model.

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Year:  2009        PMID: 19487008     DOI: 10.1016/j.watres.2009.04.043

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  4 in total

1.  Effect of flow rate on growth and oxygen consumption of biofilm in gravity sewer.

Authors:  Jingwei Xu; Muzhi Li; Qiang He; Xingfu Sun; Xiangren Zhou; Zhenping Su; Hainan Ai
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-10       Impact factor: 4.223

2.  Acinetobacter, Aeromonas and Trichococcus populations dominate the microbial community within urban sewer infrastructure.

Authors:  J L Vandewalle; G W Goetz; S M Huse; H G Morrison; M L Sogin; R G Hoffmann; K Yan; S L McLellan
Journal:  Environ Microbiol       Date:  2012-04-24       Impact factor: 5.491

3.  Spatial and temporal variability of bacterial communities within a combined sewer system.

Authors:  Henriette Stokbro Jensen; Raju Sekar; Will J Shepherd; Andrew M Osborn; Simon Tait; Catherine A Biggs
Journal:  Microbiologyopen       Date:  2016-04-10       Impact factor: 3.139

4.  Effects of Lead and Mercury on Sulfate-Reducing Bacterial Activity in a Biological Process for Flue Gas Desulfurization Wastewater Treatment.

Authors:  Liang Zhang; Xiaojuan Lin; Jinting Wang; Feng Jiang; Li Wei; Guanghao Chen; Xiaodi Hao
Journal:  Sci Rep       Date:  2016-07-26       Impact factor: 4.379

  4 in total

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