4.8 Article

High-rate activated sludge communities have a distinctly different structure compared to low-rate sludge communities, and are less sensitive towards environmental and operational variables

期刊

WATER RESEARCH
卷 100, 期 -, 页码 137-145

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2016.04.076

关键词

A-stage; AB-system; Energy-neutral sewage treatment; Co-occurrence network analysis; Resource recovery

资金

  1. European Research Council (ERC) starter grant ELECTROTALK
  2. Agency for Innovation by Science and Technology in Flanders (IWT) [SB-131769]
  3. Inter-University Attraction Pole (IUAP) - Belgian Science Policy (BELSPO) [P7/25]
  4. Geconcerteerde Onderzoeksactie (GOA) from Ghent University [BOF15/GOA/006]

向作者/读者索取更多资源

High-rate activated sludge processes allow for the recovery of organics and energy from wastewaters. These systems are operated at a short sludge retention time and high sludge-specific loading rates, which results in a higher sludge yield and better digestibility than conventional, low-rate activated sludge. Little is known about the microbial ecology of high-rate systems. In this work, we address the need for a fundamental understanding of how high-rate microbial communities differ from low-rate communities. We investigated the high-rate and low-rate communities in a sewage treatment plant in relation to environmental and operational variables over a period of ten months. We demonstrated that (1) high-rate and low-rate communities are distinctly different in terms of richness, evenness and composition, (2) high-rate community dynamics are more variable and less shaped by deterministic factors compared to low-rate communities, (3) sub-communities of continuously core and transitional members are more shaped by deterministic factors than the continuously rare members, both in high-rate and low-rate communities, and (4) high-rate community members showed a co-occurrence pattern similar to that of low-rate community members, but were less likely to be correlated to environmental and operational variables. These findings provide a basis for further optimization of high-rate systems, in order to facilitate resource recovery from wastewater. (C) 2016 Elsevier Ltd. All rights reserved.

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