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author:

Chen, Xueming (Chen, Xueming.) [1] | Yang, Linyan (Yang, Linyan.) [2] | Sun, Jing (Sun, Jing.) [3] | Wei, Wei (Wei, Wei.) [4] | Liu, Yiwen (Liu, Yiwen.) [5] | Ni, Bing-Jie (Ni, Bing-Jie.) [6]

Indexed by:

EI

Abstract:

As a promising technology for sustainable nitrogen removal from wastewater, the membrane-aerated biofilm reactors (MABRs) performing autotrophic deammonification are faced with the problem of unwanted production of nitrous oxide (N2O, a potent greenhouse gas). As a common tool to study N2O production from such an MABR, the traditional one-dimensional modeling approach fails to simulate the existence of longitudinal gradients in the reactor and therefore might render N2O production significantly deviated from reality. To this end, this work aims to study the influences of key longitudinal gradients (i.e., in oxygen, liquid-phase components, and biofilm thickness) on the N2O production from a typical MABR performing autotrophic deammonification by applying a modified version of a newly developed compartmental model. Through comparing the modeling results of different reactor configurations, this work reveals that the single impact of the longitudinal gradients studied on the N2O production from the MABR follows the order: oxygen (significant) > liquid-phase components (slight) > biofilm thickness (almost none). When multiple longitudinal gradients are present, they become correlated and would jointly influence the N2O production and nitrogen removal of the MABR. The results also show the need for multispot measurements to get an accurate representation of spatial biofilm features of the MABR configuration with the membrane lumen designed/operated as a plug flow reactor. While the traditional modeling approach is acceptable to evaluate the nitrogen removal in most cases, it might overestimate or underestimate the N2O production from the MABR with at least one of the longitudinal gradients in oxygen and liquid-phase components. For such an MABR, the longitudinal heterogeneity in biofilm thickness and the number of biofilm thickness classes to be included in the model would also make a difference to the simulation results, especially the N2O production. The work also proposes that under the studied conditions, proper design/operation of the MABR in consideration of longitudinal heterogeneity has the theoretical potential of reducing the N2O production by 77% without significantly compromising the nitrogen removal. Copyright © 2020 American Chemical Society.

Keyword:

Biofilms Bioreactors Greenhouse gases Liquids Nitrogen oxides Nitrogen removal Oxygen

Community:

  • [ 1 ] [Chen, Xueming]College of Environment and Resources, Fuzhou University, Fujian; 350116, China
  • [ 2 ] [Yang, Linyan]School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai; 200237, China
  • [ 3 ] [Sun, Jing]State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai; 200092, China
  • [ 4 ] [Wei, Wei]Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney; NSW; 2007, Australia
  • [ 5 ] [Liu, Yiwen]Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney; NSW; 2007, Australia
  • [ 6 ] [Ni, Bing-Jie]Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney; NSW; 2007, Australia

Reprint 's Address:

  • [chen, xueming]college of environment and resources, fuzhou university, fujian; 350116, china

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Source :

Environmental Science and Technology

ISSN: 0013-936X

Year: 2020

Issue: 17

Volume: 54

Page: 10964-10973

9 . 0 2 8

JCR@2020

1 0 . 9 0 0

JCR@2023

ESI HC Threshold:159

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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