Literature DB >> 26490919

Utilizing a one-dimensional multispecies model to simulate the nutrient reduction and biomass structure in two types of H2-based membrane-aeration biofilm reactors (H2-MBfR): model development and parametric analysis.

Zuowei Wang1, Siqing Xia2, Xiaoyin Xu3, Chenhui Wang3.   

Abstract

In this study, a one-dimensional multispecies model (ODMSM) was utilized to simulate NO3(-)-N and ClO4(-) reduction performances in two kinds of H2-based membrane-aeration biofilm reactors (H2-MBfR) within different operating conditions (e.g., NO3(-)-N/ClO4(-) loading rates, H2 partial pressure, etc.). Before the simulation process, we conducted the sensitivity analysis of some key parameters which would fluctuate in different environmental conditions, then we used the experimental data to calibrate the more sensitive parameters μ1 and μ2 (maximum specific growth rates of denitrification bacteria and perchlorate reduction bacteria) in two H2-MBfRs, and the diversity of the two key parameters' values in two types of reactors may be resulted from the different carbon source fed in the reactors. From the simulation results of six different operating conditions (four in H2-MBfR 1 and two in H2-MBfR 2), the applicability of the model was approved, and the variation of the removal tendency in different operating conditions could be well simulated. Besides, the rationality of operating parameters (H2 partial pressure, etc.) could be judged especially in condition of high nutrients' loading rates. To a certain degree, the model could provide theoretical guidance to determine the operating parameters on some specific conditions in practical application.

Entities:  

Keywords:  Carbon source; Denitrification; MBfR; Model; Perchlorate

Mesh:

Substances:

Year:  2015        PMID: 26490919     DOI: 10.1007/s11356-015-5584-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  22 in total

1.  Particle-based multidimensional multispecies biofilm model.

Authors:  Cristian Picioreanu; Jan-Ulrich Kreft; Mark C M Van Loosdrecht
Journal:  Appl Environ Microbiol       Date:  2004-05       Impact factor: 4.792

2.  Biofilm modeling with AQUASIM.

Authors:  O Wanner; E Morgenroth
Journal:  Water Sci Technol       Date:  2004       Impact factor: 1.915

3.  A multidimensional multispecies continuum model for heterogeneous biofilm development.

Authors:  Erik Alpkvist; Erik Alpkvista; Isaac Klapper
Journal:  Bull Math Biol       Date:  2007-01-09       Impact factor: 1.758

4.  Development and experimental evaluation of a steady-state, multispecies biofilm model.

Authors:  B E Rittmann; J A Manem
Journal:  Biotechnol Bioeng       Date:  1992-04-15       Impact factor: 4.530

5.  An improved cellular automaton method to model multispecies biofilms.

Authors:  Youneng Tang; Albert J Valocchi
Journal:  Water Res       Date:  2013-07-06       Impact factor: 11.236

6.  Interactions between perchlorate and nitrate reductions in the biofilm of a hydrogen-based membrane biofilm reactor.

Authors:  He-Ping Zhao; Steve Van Ginkel; Youneng Tang; Dae-Wook Kang; Bruce Rittmann; Rosa Krajmalnik-Brown
Journal:  Environ Sci Technol       Date:  2011-11-07       Impact factor: 9.028

7.  A steady-state biofilm model for simultaneous reduction of nitrate and perchlorate, part 2: parameter optimization and results and discussion.

Authors:  Youneng Tang; Heping Zhao; Andrew K Marcus; Rosa Krajmalnik-Brown; Bruce E Rittmann
Journal:  Environ Sci Technol       Date:  2012-01-30       Impact factor: 9.028

8.  A kinetic study of autohydrogenotrophic denitrification at the optimum pH and sodium bicarbonate dose.

Authors:  Shahin Ghafari; Masitah Hasan; Mohamed Kheireddine Aroua
Journal:  Bioresour Technol       Date:  2009-12-16       Impact factor: 9.642

9.  Simultaneous removal of selected oxidized contaminants in groundwater using a continuously stirred hydrogen-based membrane biofilm reactor.

Authors:  Siqing Xia; Jun Liang; Xiaoyin Xu; Shuang Shen
Journal:  J Environ Sci (China)       Date:  2013-01-01       Impact factor: 5.565

10.  Perchlorate-reducing microorganisms isolated from contaminated sites.

Authors:  Alison S Waller; Evan E Cox; Elizabeth A Edwards
Journal:  Environ Microbiol       Date:  2004-05       Impact factor: 5.491

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