Comparison of performance, microbial kinetics and microbial community between intelligent and conventional aeration-controlled Anoxic/Oxic systems
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This work reports a comparison study between an intelligent aeration-controlled Anoxic/Oxic system and a conventional continuing aeration Anoxic/Oxic system for the removal of major containment, which includes the performance of major containments treatment, microbial kinetics and microbial communities by high-throughput sequencing tool. The results showed that at the end of low dissolved oxygen start-up period, there was few differences on the performance between the intelligent aeration-controlled Anoxic/Oxic system, with a 60% aeration saving, and conventional continuing aeration Anoxic/Oxic system. Moreover, the differences of activated sludge microbial community were significant. The kinetics study shows that the microbial kinetics for the intelligent aeration-controlled Anoxic/Oxic system was faster than for the comparison system, especially the yield coefficient for autotrophic biomass was much higher. The high-throughput sequencing tool also have provided a reasonable comparison of microbial community in aeration tank and indicated that the low dissolved oxygen demand species were more abundant. Meanwhile, the functional relative abundance had little statistical differences. However, the more abundance of low dissolved oxygen demand species gradually represented function of the less abundance species in the end of the start-up process. This study can provide a helpful information in the intelligent aeration-controlled Anoxic/Oxic system optimization to further removal the specific contaminates in the domestic wastewater treatment.
KeywordsActivated sludge Intelligent aeration control Anoxic/Oxic process Microbial kinetics Microbial community
The authors gratefully thank researcher Yuhei Inamori and researcher Takashi Suemura from Foundation for Advancement of International Science (FAIS) for providing AOSD system start-up operation guidance. This work was supported by the Research and Development Program of Guangxi, China (Grant No. AB19110001) and the Science and Technology Base and Talent Project of Guangxi, China (Grant No. AD17195092).
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