2020
DOI: 10.1016/j.envpol.2020.115038
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The remediation of urban freshwater sediment by humic-reducing activated sludge

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Cited by 12 publications
(5 citation statements)
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“…Microecological agents commonly used to regulate the activity of microbial communities in water bodies can be broadly classified into three categories—chemicals that supplement the electron acceptors required for microbial respiration, such as nitrate, phosphate and peroxide; agents that supplement the metabolic properties of environmental remediation, such as denitrifying bacteria, photosynthetic bacteria and EM bacteria; or a combination of the above. For example, Li et al (2020) used humus‐reducing activated sludge to facilitate the remediation of urban freshwater sediments, using potassium nitrate and biostimulants to activate humus‐reducing activated sludge, and found that the technique significantly increased the efficiency of total organic matter removal from water column, with an increase in Anaerolineales and Desulfuromonadales bacteria associated with carbon metabolism and electron transfer capacity, and a moderate decrease in bacteria associated with the sulphur/sulphate cycle. Ni et al (2018) found that microbial communities in pond water bodies have important potential in nitrogen metabolism by investigating the pond water body microbiota in South China and concluded that by increasing the microbial metabolic activity could help to remove excess nitrogen from pond water bodies by increasing the denitrification capacity of the water body microbial communities to remove excessive nitrogen in the cultured water column.…”
Section: Discussionmentioning
confidence: 99%
“…Microecological agents commonly used to regulate the activity of microbial communities in water bodies can be broadly classified into three categories—chemicals that supplement the electron acceptors required for microbial respiration, such as nitrate, phosphate and peroxide; agents that supplement the metabolic properties of environmental remediation, such as denitrifying bacteria, photosynthetic bacteria and EM bacteria; or a combination of the above. For example, Li et al (2020) used humus‐reducing activated sludge to facilitate the remediation of urban freshwater sediments, using potassium nitrate and biostimulants to activate humus‐reducing activated sludge, and found that the technique significantly increased the efficiency of total organic matter removal from water column, with an increase in Anaerolineales and Desulfuromonadales bacteria associated with carbon metabolism and electron transfer capacity, and a moderate decrease in bacteria associated with the sulphur/sulphate cycle. Ni et al (2018) found that microbial communities in pond water bodies have important potential in nitrogen metabolism by investigating the pond water body microbiota in South China and concluded that by increasing the microbial metabolic activity could help to remove excess nitrogen from pond water bodies by increasing the denitrification capacity of the water body microbial communities to remove excessive nitrogen in the cultured water column.…”
Section: Discussionmentioning
confidence: 99%
“…However, the degradation of the HFOM could not be achieved without the participation of electroactive bacteria, suggesting that the TailN + CFM + LDO group may have promoted the degradation of the HFOM by inducing electroactive bacteria. The main reason for this was that the extracellular electron transfer of electroactive bacteria enhanced HFOM degradation due to factors such as spatial site resistance or mass transfer [22,23]. Under aeration and denitrification, the DO and ORP in the water column were effectively enhanced, which increased the Fe(III) concentration in the water bodies and induced electroactive bacteria such as Pseudomonas and Thiobacillus.…”
Section: Changes In the Morphology Of Tom In The Sedimentmentioning
confidence: 99%
“…(GGACTACHVGGGTWTCTAAT), targeting the V3-V4 region of the bacterial 16S rDNA genes. Highthroughput sequencing was sequenced using the Illumina Miseq PE300 platform (Illumina, Inc., CA, USA) by Beijing Auwigene Tech Ltd. (Beijing, China) (Li et al 2020).…”
Section: High-throughput Sequencingmentioning
confidence: 99%
“…The heatmap analysis was performed using the gplots package of R. The redundancy analysis (RDA) was carried out using the vegan package of R. The downstream analysis used a non-metric multidimensional scaling (NMDS) method to compare the similarity of these 9 types of sediments with different levels of contamination. The NMDS data were created using the R software project using OTUs from various genera, with the analysis of similarities (Anosim) technique used to see whether the differences between groups were signi cant (Li et al 2020).…”
Section: High-throughput Sequencingmentioning
confidence: 99%
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