Biodegradability of wastewater determines microbial assembly mechanisms in full-scale wastewater treatment plants

污染物 污水处理 微生物种群生物学 废水 生物降解 环境科学 活性污泥 化学需氧量 生化需氧量 环境工程 生化工程 制浆造纸工业 环境化学 生态学 生物 化学 细菌 工程类 遗传学
作者
Bing Zhang,Daliang Ning,Yunfeng Yang,Joy D. Van Nostrand,Jizhong Zhou,Xianghua Wen
出处
期刊:Water Research [Elsevier BV]
卷期号:169: 115276-115276 被引量:139
标识
DOI:10.1016/j.watres.2019.115276
摘要

Wastewater treatment plants (WWTPs) are critical for maintaining sustainable development in modern societies, wherein microbial populations residing in activated sludge (AS) are responsible for the removal of pollutants from wastewater. The biodegradability [biological oxygen demand/chemical oxygen demand (B/C ratio)] of influent, as a measure of the degree of available energy and toxicity to microorganisms in AS, has been hypothesized to drive AS microbial community assembly. However, the validity of this hypothesis has not been tested in full-scale WWTPs. In this study, we assessed the pollutant removal loads, the microbial community diversity, the relative importance of deterministic and stochastic assembly processes, and bio-interactions within the communities by analyzing 195 AS samples comprising nearly 5 000 000 16S rRNA sequences. Our results indicate that the effects of B/C ratio on pollutant removal loads can be perfectly reflected through biological properties, implying that B/C ratio determined WWTPs performance through affecting microbial community. Very low and/or very high B/C ratios result in low microbial diversity, strong stochastic processes, and large, complex networks, leading to low pollutant removal load of treatment. A B/C ratio of around 0.5 was optimal for system stability and efficiency. Based on the results of this study, the authors propose using the B/C ratio as an indispensable index to assess system performance and to provide an indicator of an impending process upset before function deteriorates significantly. This study provides a specific measure that can be used to evaluate strategies for process optimization and operation of WWTPs.
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