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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2023, Vol. 17 Issue (3) : 34    https://doi.org/10.1007/s11783-023-1634-z
SHORT COMMUNICATION
Impacts of backwashing on micropollutant removal and associated microbial assembly processes in sand filters
Donglin Wang1,2, Jie Zhou1,2, Hui Lin1,2, Junwen Chen3, Jing Qi1, Yaohui Bai1(), Jiuhui Qu1,3
1. Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
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Abstract

● Backwashing in sand filters with 2-h and 4-h EBCTs was simulated.

● Removal efficiency of five micropollutants recovered within 2 d at 2-h EBCT.

● Active biomass of sand filters recovered within 2 d under two EBCTs.

● Microbial composition gradually recovered to pre-backwashing level at 2-h EBCT.

● Recovered microbes only accounted for 15.55 %–25.69 % in the sand filters at 4-h EBCT.

Backwashing is crucial for preventing clogging of sand filters. However, few studies have investigated the effect of backwashing on micropollutant removal and the dynamic changes in the microbial community in sand filters. Here, we used a series of manganese and quartz sand filters under empty bed contact times (EBCTs) of 2 h and 4 h to explore variations in micropollutant degradation and temporal dynamics of the microbial community after backwashing. The results showed that the removal efficiencies of caffeine, sulfamethoxazole, sulfadiazine, trimethoprim, atrazine, and active biomass recovered within 2 d after backwashing in both types of sand filters at 2-h EBCT, but the recovery of sulfadiazine and trimethoprim was not observed at 4-h EBCT. Moreover, the removal efficiency of atenolol increased after backwashing in the manganese sand filters, whereas maintained almost complete removal efficiency in the quartz sand filters at both EBCTs. Pearson correlation analysis indicated that microbial community composition gradually recovered to the pre-backwashing level (R increased from 0.53 to 0.97) at 2-h EBCT, but shifted at 4-h EBCT (R < 0.25) after backwashing. Furthermore, the compositions of the recovered, depleted, and improved groups of microbes were distinguished by applying hierarchical clustering to the differentially abundant amplicon sequence variants. The cumulative relative abundance of recovered microbes at 2-h EBCT was 82.76 % ± 0.43 % and 46.82 % ± 4.34 % in the manganese and quartz sand filters, respectively. In contrast, at 4-h EBCT, the recovered microbes dropped to 15.55 %–25.69 % in both types of sand filters.

Keywords Sand filter      Backwashing      Recovery      Micropollutants      Community composition     
Corresponding Author(s): Yaohui Bai   
About author:

Tongcan Cui and Yizhe Hou contributed equally to this work.

Issue Date: 13 October 2022
 Cite this article:   
Donglin Wang,Jie Zhou,Hui Lin, et al. Impacts of backwashing on micropollutant removal and associated microbial assembly processes in sand filters[J]. Front. Environ. Sci. Eng., 2023, 17(3): 34.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-023-1634-z
https://academic.hep.com.cn/fese/EN/Y2023/V17/I3/34
Fig.1  Removal efficiency of six selected micropollutants in manganese and quartz sands filters before and after backwashing. “Before” refers to before backwashing; “6 h”, “12 h”, “1 d”, “2 d”, “3 d”, “7 d”, and “15 d” refer to time points after backwashing. The negative removal efficiency may be due to the exposure of micropollutants accumulated in the filter media or biofilm to bulk volume after backwashing, leading to higher concentrations of micropollutants in effluent than the influent.
Fig.2  Recovery trajectories of (a) active microbial biomass and (b) carbon metabolism rate after backwashing.
Fig.3  Recovery trajectories of microbial community: (a) Recovery trend reflected by Pearson correlation analysis between microbial community composition before and at each time point after backwashing (0 h, 6 h, 12 h, 1 d, 2 d, 3 d, 7 d, and 15 d) in two types of sand filters. (b) Longitudinal changes in relative abundances of groups detected through hierarchical clustering of differentially abundant ASVs (PFDR < 0.05) in manganese and quartz sand filters at 2- and 4-h EBCTs, respectively. Statistical significance was determined by negative binomial generalized linear models and pairwise Wald tests (two-sided) corrected with Benjamini-Hochberg procedure. Trend lines represent mean values throughout the experiment and inset donut plots display size (number of ASVs) and taxonomic composition of each group. Detailed taxonomy is provided in Fig. S3.
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