Modeling nitrous oxide emissions in membrane bioreactors: Advancements, challenges and perspectives

被引:5
作者
Li, Zeyu [1 ]
Yang, Xiao [2 ]
Chen, Hongbo [1 ]
Du, Mingyang [1 ]
Ok, Yong Sik [3 ]
机构
[1] Xiangtan Univ, Coll Environm & Resources, Xiangtan 411105, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
[3] Korea Univ, Jeong Eco Resilience Inst OJERI, Div Environm Sci & Ecol Engn, Korea Biochar Res Ctr, Seoul 02841, South Korea
基金
中国国家自然科学基金;
关键词
Membrane bioreactors; Nitrous oxide emissions; Mathematical modeling; Extracellular polymeric substances; Soluble microbial products; WASTE-WATER TREATMENT; SOLUBLE MICROBIAL PRODUCTS; EXTRACELLULAR POLYMERIC SUBSTANCES; GREENHOUSE-GAS EMISSIONS; ACTIVATED-SLUDGE MODEL; NUTRIENT REMOVAL; MATHEMATICAL-MODEL; RETENTION TIME; HETEROTROPHIC NITRIFICATION; AEROBIC DENITRIFICATION;
D O I
10.1016/j.scitotenv.2021.151394
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Membrane bioreactors (MBRs) have become a well-established wastewater treatment technology owing to their extraordinary efficiency and low space advantage over conventional activated sludge processes. Although the extended activated sludge models can predict the general trend of nitrous oxide (N2O) emissions in MBRs, the simulation results usually deviate from the actual values. This review critically evaluates the recent advances in the modeling of N2O emissions in MBRs, and proposes future directions for the development and improvement of models that better match the MBR characteristics. The quantitative impact of MBR characteristics on N2O emissions is identified as a key knowledge gap demanding urgent attention. Accurately clarification of the N2O emission pathways governed by MBR characteristics is essential to improve the reliability and practicability of existing models. This article lays a momentous foundation for the optimization of N2O models in MBRs, and proposes new demands for the next-generation model. The contents will assist academics and engineers in developing N2O production models for accurate prediction. (C) 2021 Elsevier B.V. All rights reserved.
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收藏
页数:22
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