Literature DB >> 19647851

Quantification of the shear stresses in a microbial granular sludge reactor.

Ting-Ting Ren1, Yang Mu, Li Liu, Xiao-Yan Li, Han-Qing Yu.   

Abstract

Since a certain level of hydrodynamic shear force is needed in the formation of microbial granules for wastewater treatment, a method for quantifying the shear stresses in a microbial granular sludge reactor is highly desirable. In this work a novel energy-dissipation-based model was established and validated to quantitatively describe the shear stresses in a granular sludge sequencing batch reactor (SBR). With this model, the shear stress at the solid-liquid interface in an SBR was estimated and the relative magnitudes of shear stresses induced by fluid, gas bubble and collision on granules were evaluated. The results demonstrate that the effect of reactor geometry on the global shear stress was significant. Both the shear stress at the microbial granule surface and the biomass-loss rate increased with an increase in biomass concentration in the SBR. The gas bubble and the collision were found to be the main source for the shear stress at the granule surface.

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Year:  2009        PMID: 19647851     DOI: 10.1016/j.watres.2009.07.019

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


  3 in total

1.  Determining the effects of aeration intensity and reactor height to diameter (H/D) ratio on granule stability based on bubble behavior analysis.

Authors:  Jia Heng Zhou; Yun Cheng Zhou; Hao Cheng Yu; Yi Qun Zhao; Kai Qiang Ye; Jing Yuan Fang; Hong Yu Wang
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-10       Impact factor: 4.223

2.  Correlation analysis of major control factors for the formation and stabilization of aerobic granule.

Authors:  Liang Zhu; Xin Dai; Meile Lv; Xiangyang Xu
Journal:  Environ Sci Pollut Res Int       Date:  2012-10-07       Impact factor: 4.223

3.  Example study for granular bioreactor stratification: Three-dimensional evaluation of a sulfate-reducing granular bioreactor.

Authors:  Tian-Wei Hao; Jing-Hai Luo; Kui-Zu Su; Li Wei; Hamish R Mackey; Kun Chi; Guang-Hao Chen
Journal:  Sci Rep       Date:  2016-08-19       Impact factor: 4.379

  3 in total

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