Literature DB >> 23434474

Mathematical modeling of high-rate Anammox UASB reactor based on granular packing patterns.

Chong-Jian Tang1, Rui He, Ping Zheng, Li-Yuan Chai, Xiao-Bo Min.   

Abstract

A novel mathematical model was developed to estimate the volumetric nitrogen conversion rates of a high-rate Anammox UASB reactor based on the packing patterns of granular sludge. A series of relationships among granular packing density, sludge concentration, hydraulic retention time and volumetric conversion rate were constructed to correlate Anammox reactor performance with granular packing patterns. It was suggested that the Anammox granules packed as the equivalent simple cubic pattern in high-rate UASB reactor with packing density of 50-55%, which not only accommodated a high concentration of sludge inside the reactor, but also provided large pore volume, thus prolonging the actual substrate conversion time. Results also indicated that it was necessary to improve Anammox reactor performance by enhancing substrate loading when sludge concentration was higher than 37.8 gVSS/L. The established model was carefully calibrated and verified, and it well simulated the performance of granule-based high-rate Anammox UASB reactor.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23434474     DOI: 10.1016/j.jhazmat.2013.01.058

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

Review 1.  The increasing interest of ANAMMOX research in China: bacteria, process development, and application.

Authors:  Mohammad Ali; Li-Yuan Chai; Chong-Jian Tang; Ping Zheng; Xiao-Bo Min; Zhi-Hui Yang; Lei Xiong; Yu-Xia Song
Journal:  Biomed Res Int       Date:  2013-12-05       Impact factor: 3.411

2.  Direct 16S rRNA-seq from bacterial communities: a PCR-independent approach to simultaneously assess microbial diversity and functional activity potential of each taxon.

Authors:  Riccardo Rosselli; Ottavia Romoli; Nicola Vitulo; Alessandro Vezzi; Stefano Campanaro; Fabio de Pascale; Riccardo Schiavon; Maurizio Tiarca; Fabio Poletto; Giuseppe Concheri; Giorgio Valle; Andrea Squartini
Journal:  Sci Rep       Date:  2016-08-31       Impact factor: 4.379

  2 in total

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