Literature DB >> 28112665

Modeling the pH effects on nitrogen removal in the anammox-enriched granular sludge.

Xi Lu1, Zhixuan Yin1, Dominika Sobotka2, Kamil Wisniewski2, Krzysztof Czerwionka2, Li Xie1, Qi Zhou1, Jacek Makinia2.   

Abstract

The aim of the study was to determine the pH effects on nitrogen removal in the anammox-enriched granular sludge. The experimental data were extracted from a 4 L completely-mixed batch reactor with the granular sludge at different initial pH values (6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5) and constant temperature T = 30 °C. Simulations were run in GPS-X 6.4 using a comprehensive mechanistic model Mantis2. Two kinetic parameters, the maximum specific growth rates of ammonia oxidizing bacteria (AOB) and anammox bacteria, were optimized at different pH scenarios. The inhibitory effects of the pH extremes on the anammox-enriched sludge were discussed in terms of the inhibition of free nitrous acid and free ammonia and metabolic mechanisms. Two different pH functions were used to examine the pH effects on the nitrogen removal kinetics. The pH optima for AOB and anammox bacteria were 7.4 and 7.6, respectively. The maximum specific growth rates of AOB and anammox bacteria at the pH optima were 0.81-0.85 d-1 and 0.36-0.38 d-1 (at T = 30 °C). The measured specific anammox activities (SAAs), predicted SAAs by Mantis2 and fitted SAAs by the Michaelis pH function at the pH optima were 0.895, 0.858 and 0.831 gN/(gVSS·d), respectively (VSS: volatile suspended solids).

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28112665     DOI: 10.2166/wst.2016.530

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  1 in total

1.  Modeling and multi-objective optimization for ANAMMOX process under COD disturbance using hybrid intelligent algorithm.

Authors:  Bin Xie; Yong-Wen Ma; Jin-Quan Wan; Yan Wang; Zhi-Cheng Yan; Lin Liu; Ze-Yu Guan
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-15       Impact factor: 4.223

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.