Literature DB >> 29906753

A feasibility study on biological nitrogen removal (BNR) via integrated thiosulfate-driven denitratation with anammox.

Jin Qian1, Mingkuan Zhang2, Yaoguo Wu2, Juntao Niu2, Xing Chang2, Hairui Yao2, Sihai Hu2, Xiangjun Pei3.   

Abstract

To exploit the advantages of less electron donor consumptions in partial-denitrification (denitratation, NO3- → NO2-) as well as less sludge production in autotrophic denitrification (AD) and anammox, a novel biological nitrogen removal (BNR) process through combined anammox and thiosulfate-driven denitratation was proposed here. In this study, the ratio of S2O32--S/NO3--N and pH are confirmed to be two key factors affecting the thiosulfate-driven denitratation activity and nitrite accumulation. Simultaneous high denitratation activity and substantial nitrite accumulation were observed at initial S2O32--S/NO3--N ratio of 1.5:1 and pH of 8.0. The optimal pH for the anammox reaction is determined to be 8.0. A sequential batch reactor (SBR) and an up-flow anaerobic sludge blanket (UASB) reactor were established to proceed the anammox and the high-rate thiosulfate-driven denitratation, respectively. Under the ambient temperature of 35 °C, the total nitrogen removal efficiency and capacity are 73% and 0.35 kg N/day/m3 in the anammox-SBR. At HRT of 30 min, the NO3- removal efficiency could achieve above 90% with the nitrate-to-nitrite transformation ratio of 0.8, implying the great potential to apply the thiosulfate-driven denitratation & anammox system for BNR with minimal sludge production. Without the occurrence of denitritation (NO2- → N2O → N2), theoretically no N2O could be emitted from this BNR system. This study could shed light on how to operate a high rate BNR system targeting to electron donor and energy savings as well as biowastes minimization and greenhouse gas reductions.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anammox; Combined system; Less electron donor consumption; Nitrite accumulation; Partial-denitrification (denitratation); Thiosulfate

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Year:  2018        PMID: 29906753     DOI: 10.1016/j.chemosphere.2018.06.060

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

1.  The correlation analyses of bacterial community composition and spatial factors between freshwater and sediment in Poyang Lake wetland by using artificial neural network (ANN) modeling.

Authors:  Ran Sun; Zuxin Tu; Lin Fan; Zixia Qiao; Xiaoyan Liu; Sihai Hu; Guohua Zheng; Yaoguo Wu; Ruiwu Wang; Xiaohui Mi
Journal:  Braz J Microbiol       Date:  2020-05-13       Impact factor: 2.476

2.  A lab-scale study on heterotrophic nitrification-aerobic denitrification for nitrogen control in aquatic ecosystem.

Authors:  Zixia Qiao; Yaoguo Wu; Jin Qian; Sihai Hu; Jiangwei Chan; Xiaoyan Liu; Ran Sun; Wendong Wang; Bo Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-08       Impact factor: 4.223

  2 in total

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