Environmental Science & Technology

On Optimized Removal of Nitrogen and Carbon with Anaerobic Ammonium Oxidation Based on Matching Multiple Factors #br# and Response Surface Method

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  • 1.School of Environmental and Municipal Engineering,Lanzhou Jiaotong University,Lanzhou 730070,Gansu,China;
    2.Technical Center of Sewage Treatment Industry in Gansu,Lanzhou 730070,Gansu,China;
    3.Gansu Provincial Key Laboratory of Yellow River Water Environment,Lanzhou 730070,Gansu,China
陈永志(1969-),男,教授,博士生导师,主要从事水污染处理和过程控制、脱氮除磷等研究。

Received date: 2020-09-30

  Revised date: 2021-03-16

  Online published: 2021-04-01

Supported by

Supported by the National Natural Science Foundation of China(51668033), the Natural Science Foundation of Gansu Province (18JR3RA126) and the Specialty of Gansu Provincial Colleges and Universities-Environmental Engineering(101004)

Abstract

The partial nitrificated domestic sewage treated in the autors laboratory was added into the anaerobic ammoxation ASBR reactor as raw wastewater,and NaNO2 or CH3COONa was added quantitatively when the temperature was(24±0.5)℃and pH was 8.0~8.2.The effects of NO2--N/NH4+-N ratio,hydraulic retention time (HRT) and C/N ratio (COD/NH4+-N) on anammox coupled denitrification and decarbonization were investigated respectively.The interaction among the three factors was explored by response surface analysis method.The results show that,when the NO2--N/NH4+-N ratio was 1.4~1.6,HRT was 33 h,and C/N ratio was 3~5,the system's anammox coupled denitrification and carbon removal efficiency were the highest.Analysis of variance (ANOVA) results show that the degree of influence of each factor on the total nitrogen removal rate (TNR) was:C/N ratio>HRT>NO-2-N/NH+4-N ratio.The optimal matching scheme is C/N ratio:4.28,HRT:33.48h,and NO2--N/NH4+-N ratio:1.46,and the average TNR verified by parallel experiments was 90.12% .

Cite this article

CHEN Yongzhi, YUAN Zhongling, ZHANG Min'an, et al . On Optimized Removal of Nitrogen and Carbon with Anaerobic Ammonium Oxidation Based on Matching Multiple Factors #br# and Response Surface Method[J]. Journal of South China University of Technology(Natural Science), 2021 , 49(11) : 69 -79 . DOI: 10.12141/j.issn.1000-565X.200581

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