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Author:

Liu, Xuyan (Liu, Xuyan.) | Yang, Hong (Yang, Hong.) | Yang, Kai (Yang, Kai.)

Indexed by:

EI Scopus SCIE

Abstract:

The decomposition of organic macromolecules in sewage currently benefits substantially from hydrolysis-acidification. The full use of its qualities can help domestic sewage to biodegrade more quickly, which promotes the subsequent aerobic reactions. This study evaluated the hydrolysis-acidification performance of granular sludge and filler in residential sewage. Both forms were highly effective at producing volatile fatty acids (VFAs) at the beginning of the reaction, but the granular sludge gradually disintegrated over time, particularly at low temperatures. The production of VFAs decreased (68.08 mg/L), and the effluent dissolved organic nitrogen (DON) increased (6.23 mg/L). However, the effluent of fillers remained at a lower level (1.3 mg/L) and produced more VFAs (74.13 mg/L). High-throughput sequencing revealed that the filler included a greater quantity of hydrolytic-acidifying bacteria than the granular sludge, which resulted in higher performance. In this study, the optimal form of utilizing hydrolytic acidifying bacteria was discussed to provide a theoretical basis to improve the full utilization of organic matter in domestic sewage and the removal of as much total nitrogen as possible.

Keyword:

Granular sludge Hydrolytic acidification Domestic sewage Immobilized filler High-throughput sequencing

Author Community:

  • [ 1 ] [Liu, Xuyan]Hebei GEO Univ, Shijiazhuang 050031, Peoples R China
  • [ 2 ] [Liu, Xuyan]Hebei Prov Collaborat Innovat Ctr Sustainable Util, Shijiazhuang 050031, Peoples R China
  • [ 3 ] [Yang, Hong]Beijing Univ Technol, Key Lab Beijing Water Qual Sci & Water Environm Re, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Kai]Shijiazhuang Univ, Shijiazhuang 050035, Peoples R China

Reprint Author's Address:

  • [Yang, Kai]Shijiazhuang Univ, Shijiazhuang 050035, Peoples R China;;

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Source :

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

ISSN: 0944-1344

Year: 2023

Issue: 4

Volume: 31

Page: 6288-6300

5 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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