研究报告
蔡广强,张金松,刘彤宙,尤作亮,周常.O3-BAC深度处理工艺中细菌群落时空分布及动态变化规律[J].环境科学学报,2020,40(11):3830-3839
O3-BAC深度处理工艺中细菌群落时空分布及动态变化规律
- Spatiotemporal distribution and dynamic variation of bacterial communities in the O3-BAC advanced treatment process
- 基金项目:国家水体污染控制与治理科技重大专项(No.2015ZX07406-004);深圳市国家和省计划配套项目(No.GJHS20170314150756225);深圳市水务(集团)有限公司内部课题(No.2016YT12)
- 蔡广强
- 1. 哈尔滨工业大学(深圳)土木与环境工程学院, 深圳市水资源利用与环境污染控制重点实验室, 深圳 518055;2. 深圳市水务(集团)有限公司, 深圳 518031
- 张金松
- 1. 哈尔滨工业大学(深圳)土木与环境工程学院, 深圳市水资源利用与环境污染控制重点实验室, 深圳 518055;2. 深圳市水务(集团)有限公司, 深圳 518031
- 刘彤宙
- 哈尔滨工业大学(深圳)土木与环境工程学院, 深圳市水资源利用与环境污染控制重点实验室, 深圳 518055
- 尤作亮
- 深圳市水务(集团)有限公司, 深圳 518031
- 摘要:为弄清饮用水O3-BAC深度处理工艺过程中细菌群落的时空分布和动态变化规律,本研究以我国南方某O3-BAC深度处理工艺水厂为研究对象,采用NovaSeq6000高通量测序技术对夏季和冬季各工艺单元出水及滤砂和活性炭生物膜等细菌群落进行解析.结果表明,出厂水pH、浊度、CODMn、菌落总数等指标均满足《生活饮用水卫生标准》(GB5749-2006)的要求.夏季细菌群落多样性明显高于冬季,活性炭生物膜的细菌群落多样性高于滤砂生物膜;混凝沉淀、臭氧化和消毒是影响细菌群落多样性的主要工艺单元.水样和生物膜样品绝对优势菌门均为变形菌门(Proteobacteria),且主要菌门组成大体相同,但细菌群落门水平相对丰度存在一定的时空差异,属水平上差异则更为明显.此外,检测到的条件致病菌属主要包括芽孢杆菌属(Bacillus)、不动杆菌属(Acinetobacter)、假单胞菌属(Pseudomonas)和分支杆菌属(Mycobacterium),且其所占核心微生物OTUs数目不受季节性影响.水温和生物可降解溶解性有机碳(BDOC)是显著影响细菌群落分布的主要水质参数.以上研究结果表明,O3-BAC深度处理工艺过程中细菌群落具有时空变化特性,并可为饮用水微生物安全保障提供支撑.
- Abstract:In order to gain insight into the spatiotemporal distribution and dynamic variation of bacterial communities in the O3-BAC advanced treatment process of drinking water, bacterial communities, which were in effluents of major process units, filter sand and granular activated carbon (GAC) biofilms in an O3-BAC advanced treatment process plant in the south of China in summer and winter, were investigated using NovaSeq6000 high throughput sequencing technology. The results showed that pH, turbidity, CODMn and total plate count in finished water all met the standards for drinking water quality (GB5749—2006). The bacterial diversity in summer was significantly higher than that in winter, while the bacterial diversity in GAC biofilms was higher than that in filter sand biofilms. In addition, the coagulation sedimentation, ozonization and disinfection process units had a significant effect on the diversity of bacterial community. Furthermore, Proteobacteria was predominant in both water and biofilm samples, and the composition of main phyla was roughly the same, but the spatiotemporal variation was observed in the relative abundance of bacterial community at the phylum level and more obvious at the genus level. Additionally, a number of potential pathogens were detected, including Bacillus, Acinetobacter, Pseudomonas and Mycobacterium, and the OTUs number of them in the core microbiome was not affected by seasonal variation. Moreover, water temperature and BDOC were the major water characteristics that influenced bacterial community distribution. In a word, the above results provided evidence of spatiotemporal variation of bacterial communities in the O3-BAC advanced treatment process, and contributed to microbiological safety assurance of drinking water.