↓ Skip to main content

Modeling of Simultaneous Anaerobic Methane and Ammonium Oxidation in a Membrane Biofilm Reactor

Overview of attention for article published in Environmental Science & Technology, July 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
140 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Modeling of Simultaneous Anaerobic Methane and Ammonium Oxidation in a Membrane Biofilm Reactor
Published in
Environmental Science & Technology, July 2014
DOI 10.1021/es502608s
Pubmed ID
Authors

Xueming Chen, Jianhua Guo, Ying Shi, Shihu Hu, Zhiguo Yuan, Bing-Jie Ni

Abstract

Nitrogen removal by using the synergy of denitrifying anaerobic methane oxidation (DAMO) and anaerobic ammonium oxidation (Anammox) microorganisms in a membrane biofilm reactor (MBfR) has previously been demonstrated experimentally. In this work, a mathematical model is developed to describe the simultaneous anaerobic methane and ammonium oxidation by DAMO and Anammox microorganisms in an MBfR for the first time. In this model, DAMO archaea convert nitrate, both externally fed and/or produced by Anammox, to nitrite, with methane as the electron donor. Anammox and DAMO bacteria jointly remove the nitrite fed/produced, with ammonium and methane as the electron donor, respectively. The model is successfully calibrated and validated using the long-term (over 400 days) dynamic experimental data from the MBfR, as well as two independent batch tests at different operational stages of the MBfR. The model satisfactorily describes the methane oxidation and nitrogen conversion data from the system. Modeling results show the concentration gradients of methane and nitrogen would cause stratification of the biofilm, where Anammox bacteria mainly grow in the biofilm layer close to the bulk liquid, while DAMO organisms attach close to the membrane surface. The low surface methane loadings result in a low fraction of DAMO microorganisms, but the high surface methane loadings would lead to overgrowth of DAMO bacteria, which would compete with Anammox for nitrite and decrease the fraction of Anammox bacteria. The results suggest an optimal methane supply under the given condition should be applied not only to benefit the nitrogen removal but also to avoid the potential methane emissions.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Poland 1 <1%
Unknown 138 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 31%
Student > Master 17 12%
Researcher 16 11%
Student > Bachelor 9 6%
Other 8 6%
Other 22 16%
Unknown 25 18%
Readers by discipline Count As %
Environmental Science 28 20%
Engineering 25 18%
Unspecified 11 8%
Agricultural and Biological Sciences 9 6%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 20 14%
Unknown 41 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 September 2014.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from Environmental Science & Technology
#19,590
of 20,675 outputs
Outputs of similar age
#205,433
of 239,357 outputs
Outputs of similar age from Environmental Science & Technology
#255
of 282 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 282 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.