scholarly journals Application of Polyaluminium Chloride Coagulant in Urban River Water Treatment Influenced the Microbial Community in River Sediment

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1791
Author(s):  
Siyu Liu ◽  
Xuchao Zhuang ◽  
Chuandong Wang
Keyword(s):  
Microbial Community ◽  
Water Treatment ◽  
River Flow ◽  
River Sediments ◽  
Urban River ◽  
Factors Affecting ◽  
Eukaryotic Diversity ◽  
Bacterial Function ◽  
The Impact ◽  
Polyaluminium Chloride

Polyaluminium chloride (PAC) has been widely used as a chemical coagulant in water treatment. However, little is known about the impact of PAC performance on the microbial community in sediments. In this study, the archaeal, bacterial, and fungal communities in urban river sediments with and without PAC treatment were investigated. Prokaryotic diversity decreased at the PAC addition site (A2) and increased along with the river flow (from A3 to A4), while eukaryotic diversity was the opposite. The abundance of core microbiota showed a similar trend. For example, the dominant Proteobacteria presented the highest relative abundance in A1 (26.8%) and the lowest in A2 (15.3%), followed by A3 (17.5%) and A4 (23.0%). In contrast, Rozellomycota was more dominant in A2 (56.6%) and A3 (58.1%) than in A1 (6.2%) and A4 (16.3%). Salinity, total dissolved solids, and metal contents were identified as the key physicochemical factors affecting the assembly of core microorganisms. The predicted functions of archaea and fungi were mainly divided into methane cycling and saprotrophic nutrition, respectively, while bacterial function was more diversified. The above findings are helpful to enhance our understanding of microorganism response to PAC and have significance for water treatment within the framework of microecology.

Rich microbial communities inhabit water treatment biofilters and are differentially affected by filter type and sampling depth

2010 ◽  
Vol 10 (2) ◽  
pp. 145-156 ◽  
Author(s):  
S. A. Wakelin ◽  
D. W. Page ◽  
P. Pavelic ◽  
A. L. Gregg ◽  
P. J. Dillon
Keyword(s):  
Microbial Community ◽  
Water Treatment ◽  
Small Particle Size ◽  
Sampling Depth ◽  
Sand Filters ◽  
Filter Function ◽  
Urban Catchment ◽  
Factors Affecting ◽  
Filter Type

Factors affecting microbial diversity (richness) and community structure in biofilter columns were investigated. At a pilot filtration plant, granular activated carbon (GAC), anthracite and sand-based filters were used to treat stormwater from an urban catchment. After 12 weeks operation, sand media filters clogged (hydraulic conductivity declining by 90%) and all filters were destructively sampled. All biofilters had similar levels of polysaccharide in the surface layer, however only the sand columns clogged. This clogging may have been due to a combination of polysaccharide and small particle size, the development of a sand-specific microbial community, or other biogeochemical interactions. DNA fingerprinting was used to show that bacterial, archaeal and eukaryotic communities were present in all filter types and at all sampling depths (to 45 cm). The bacterial community was far richer (Margalefs index, d, 1.5–2) than the other groups. This was consistent across filter types and sampling depths. The structure of the bacteria and archaea communities in sand filters differed to those in GAC and anthracite filters (P<0.05). In contrast, eukaryotic communities were similar in surface biofilm layers, irrespective of filter type. As such, physicochemical properties of filters differentially influence the microbial community. Furthermore, we have established that archaea are distributed throughout biofilters; the role of these microorganisms in water treatment and filter function, particularly clogging, requires attention.

scholarly journals Impact of long-term industrial contamination on the bacterial communities in urban river sediments

2020 ◽  
Author(s):  
Lei Zhang ◽  
Demei Tu ◽  
Xingchen Li ◽  
Wenxuan Lu ◽  
Jing Li
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Bacterial Community ◽  
Bacterial Communities ◽  
Industrial Pollution ◽  
River Sediments ◽  
Urban River ◽  
Industrial Contamination ◽  
Different Types

Abstract Background: The contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic environments has focused on indicator bacteria related to feces and organic pollution. Meanwhile, they ignored the interactions among microorganisms. To deeply understand the impact of industrial contamination on microbial community, we study the bacterial community structure and diversity in river sediments under the influence of different types of industrial pollution by Illumina MiSeq high-throughput sequencing technology and conduct a more detailed analysis of microbial community structure through co-occurrence networks.Results: The overall community composition and abundance of individual bacterial groups differed between samples. In addition, redundancy analysis indicated that the structure of the bacterial community in river sediments was influenced by a variety of environmental factors. TN, TP, TOC and metals (Cu, Zn and Cd) were the most important driving factors that determined the bacterial community in urban river sediments (P <0.01). According to PICRUSt analysis, the bacterial communities in different locations had similar overall functional profiles. It is worth noting that the 15 functional genes related to xenobiotics biodegradation and metabolism were the most abundant in the same location. The non-random assembly patterns of bacterial composition in different types of industrially polluted sediments were determined by a co-occurrence network. Environmental conditions resulting from different industrial pollutants may play an important role in determining their co-occurrence patterns of these bacterial taxa. Among them, the bacterial taxa involved in carbon and nitrogen cycles in module I were relatively abundant, and the bacterial taxa in module II were involved in the repair of metal pollution.Conclusions: Our data indicate that long-term potential interactions between different types of industrial pollution and taxa collectively affect the structure of the bacterial community in urban river sediments.

scholarly journals Impact of long-term industrial contamination on the bacterial communities in urban river sediments

2020 ◽  
Author(s):  
lei zhang ◽  
Demei Tu ◽  
Xingchen Li ◽  
Wenxuan Lu ◽  
Jing Li
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Bacterial Community ◽  
Bacterial Communities ◽  
Industrial Pollution ◽  
River Sediments ◽  
Urban River ◽  
Bacterial Phyla ◽  
Different Types

Abstract Background: The contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic environments has focused on indicator bacteria related to feces and organic pollution. Meanwhile, they ignored the interactions among microorganisms. To deeply understand the impact of industrial contamination on microbial community, we study the bacterial community structure and diversity in river sediments under the influence of different types of industrial pollution by Illumina MiSeq high-throughput sequencing technology and conduct a more detailed analysis of microbial community structure through co-occurrence networks.Results: Although the composition of dominant bacterial phyla in different sediment samples was similar, their relative abundance was different. These dominant bacterial phyla showed significant differences in different types of industrial contaminated sediment. In addition, redundancy analysis indicated that the structure of the bacterial community in river sediments was influenced by a variety of environmental factors. TN, TP, TOC and metals (Cu, Zn and Cd) were the most important driving factors that determined the bacterial community in urban river sediments (P <0.01). According to PICRUSt analysis, the bacterial communities in different locations had similar overall functional profiles. It is worth noting that the 15 functional genes related to xenobiotics biodegradation and metabolism were the most abundant in the same location. The non-random assembly patterns of bacterial composition in different types of industrially polluted sediments were determined by a co-occurrence network. Environmental conditions resulting from different industrial pollutants may play an important role in determining their co-occurrence patterns of these bacterial taxa. Among them, the bacterial taxa involved in carbon and nitrogen cycles in module I were relatively abundant, and the bacterial taxa in module II were involved in the repair of metal pollution.Conclusions: Our data indicate that long-term potential interactions between different types of industrial pollution and taxa collectively affect the structure of the bacterial community in urban river sediments.

scholarly journals Heavy Metal Tolerance Genes Associated With Contaminated Sediments From an E-Waste Recycling River in Southern China

2021 ◽  
Vol 12 ◽  
Author(s):  
Shengqiao Long ◽  
Hui Tong ◽  
Xuxiang Zhang ◽  
Shuyu Jia ◽  
Manjia Chen ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Microbial Community ◽  
Microbial Communities ◽  
Southern China ◽  
Risk Index ◽  
River Sediments ◽  
Microbial Community Composition ◽  
Heavy Metal Tolerance ◽  
Waste Recycling ◽  
The Impact

Heavy metal pollution that results from electronic waste (e-waste) recycling activities has severe ecological environmental toxicity impacts on recycling areas. The distribution of heavy metals and the impact on the bacteria in these areas have received much attention. However, the diversity and composition of the microbial communities and the characteristics of heavy metal resistance genes (HMRGs) in the river sediments after long-term e-waste contamination still remain unclear. In this study, eight river sediment samples along a river in a recycling area were studied for the heavy metal concentration and the microbial community composition. The microbial community consisted of 13 phyla including Firmicutes (ranging from 10.45 to 36.63%), Proteobacteria (11.76 to 32.59%), Actinobacteria (14.81 to 27.45%), and unclassified bacteria. The abundance of Firmicutes increased along with the level of contaminants, while Actinobacteria decreased. A canonical correspondence analysis (CCA) showed that the concentration of mercury was significantly correlated with the microbial community and species distribution, which agreed with an analysis of the potential ecological risk index. Moreover, manually curated HMRGs were established, and the HMRG analysis results according to Illumina high-throughput sequencing showed that the abundance of HMRGs was positively related to the level of contamination, demonstrating a variety of resistance mechanisms to adapt, accommodate, and live under heavy metal-contaminated conditions. These findings increase the understanding of the changes in microbial communities in e-waste recycling areas and extend our knowledge of the HMRGs involved in the recovery of the ecological environment.

scholarly journals SOSIALISASI PENTINGNYA TIDAK MEMBUANG AIR BESAR DI SUNGAI (STOP BABS) DI DESA GAMPANG KECAMATAN PRAMBON

2017 ◽  
Vol 1 (1) ◽  
pp. 43-48
Author(s):  
Shoim Anwar
Keyword(s):  
Direct Contact ◽  
River Flow ◽  
Flow Characteristics ◽  
Influential Factor ◽  
Factors Affecting ◽  
Intentional Behavior ◽  
The People ◽  
The One ◽  
The Impact ◽  
The Village

Sanitation is the one component of environmental health as intentional behavior for cultivate human hygiene to prevent direct contact with dirt and other hazardous waste material, with the hope to maintain and improve human health. This is because, the environment may play a direct cause influential factor in supporting the outbreak of disease and as factors affecting the course of the disease. All feces is a medium as breeding and seed base of infectious diseases. The impact of the disease is most often caused by defecation to the river is the widespread bacterium Escherichia coli, which can cause diarrhea. After that could be dehydrated, and because of the condition of human body’s down then get other diseases. The river is a very important source of water to support human’s life. Dynamism watersheds are influenced by the weather, river flow characteristics and human behaviour of the people who live around the river banks. As a result of effluent from people behaviour causes disturbance to the ecosystem of the river flow. Starting from the non-fulfillment of water quality 3B standarts (colorless, odorless and non-toxic), reduced numbers of fish and water animals, the emergence of a rundown neighborhood until the emergence of health problems and others, therefore, to KKN-PPM in the field of Environmental Sanitation and Supply water in the village Easy in Subdisrtict Prambon, Sidoarjo, the program will be made by "socialization of Great Importance Not Throw water on the River (STOP BABS)".

scholarly journals Evaluating the Impact of Wastewater Effluent on Microbial Communities in the Panke, an Urban River

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 888 ◽  
Author(s):  
Marcella Nega ◽  
Burga Braun ◽  
Sven Künzel ◽  
Ulrich Szewzyk
Keyword(s):  
Microbial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Sampling Site ◽  
River Sediments ◽  
Microbial Community Composition ◽  
Rrna Gene ◽  
Sequencing Data ◽  
Alpha And Beta Diversity ◽  
The Impact

Pharmaceuticals are consumed in high amounts and can enter as emerging organic compounds in surface waters as they are only partially retained in wastewater treatment plants (WWTPs). Receiving pharmaceuticals may burden the aquatic environment, as they are designed to be bioactive even at low concentrations. Sediment biofilm populations were analyzed in river sediments due to the exposure of an inflow of WWTP effluents. Illumina MiSeq 16S rRNA gene amplicon sequencing was performed of 108 sediment samples, which were taken from multiple cores within three sampling locations in the Panke River, with one sampling site located downstream of the inflow. Sequencing data were processed to infer microbial community structure in samples concerning the environmental variables, such as micropollutants and physicochemical parameters measured for each core. More than 25 different micropollutants were measured in pore water samples, in which bezafibrate, clofibric acid, carbamazepine, and diclofenac were detected at high concentrations. Bacterial 16S rRNA gene amplicons revealed Nitrospirae, Proteobacteria, Chloroflexi, Actinobacteria, Acidobacteria, Bacteroidetes, and Ignavibacteriae as the most abundant groups in the samples. Differences in microbial community composition were observed with respect to micropollutants. However, our findings revealed that the composition of the microbial community was not only governed by the effluent. The significant changes in the alpha- and beta-diversity were explained by phenobarbital and SO42−, which did not originate from the WWTP indicating that more unobserved factors are also likely to play a role in affecting the biofilm community’s composition.

scholarly journals Changes in the Content of Heavy Metals in Bílina River during 2012–2017: Effects of Flood and Industrial Inputs

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 481 ◽  
Author(s):  
Jiří Čmelík ◽  
Taťjána Brovdyová ◽  
Josef Trögl ◽  
Martin Neruda ◽  
Matěj Kadlečík ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Industrial Pollution ◽  
River Flow ◽  
River Sediments ◽  
Anthropogenic Pollution ◽  
Heavy Metal Concentration ◽  
Limit Of Quantification ◽  
The Impact ◽  
Bílina River

This article presents the development of selected heavy metals contained in river sediments at selected sites along the Bílina River. It describes the situation before the large flood in 2013, the situation just after that flood, the situation approximately 1 year after the flood, and 4 years after the flood. The contents of selected heavy metals from industrial pollution originating from transport and industry located along the river flow were monitored. Since the situation in the river before the flood was also known, it was possible to assess the impact of the 2013 flood on the distribution of heavy metals in the settled sediments. The results obtained show that the heavy metal content has changed significantly. During the flood in 2013 there was an increase in the concentration of almost all the monitored elements compared to the situation before the flood and one year after the flood. This could be caused by the churning of sediments as a result of the flood. The only exception was Cd, the concentration of which did not change significantly. However, Cd is present in the sediment samples at a low concentration at the limit of quantification (LOQ), so the change may not be noticeable. In 2017, four years after the flood, an increase in the concentration of all the monitored elements was found. The highest increase in the content of the monitored elements was observed at the sites with the highest industrial pollution. Following the flood in 2014, there was a situation where no significant differences were observed in the content of metals at the individual sampling points in contrast to the values obtained in 2012, 2013, and 2017. As a result of sediment churning and re-settlement during and after the flood, the sediment became homogenized along the entire river flow. After a longer period of time that was not accompanied by floods, a significant increase in the heavy metal concentration was observed due to anthropogenic pollution. The results show that the effect of flooding is only temporal and that anthropogenic pollution is more important than the impact of floods.

scholarly journals Impact of long-term industrial contamination on the bacterial communities in urban river sediments

2020 ◽  
Author(s):  
Lei Zhang ◽  
Demei Tu ◽  
Xingchen Li ◽  
Wenxuan Lu ◽  
Jing Li
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Bacterial Community ◽  
Bacterial Communities ◽  
Industrial Pollution ◽  
River Sediments ◽  
Urban River ◽  
Industrial Contamination ◽  
Different Types

Abstract Background: The contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic environments has focused on indicator bacteria related to feces and organic pollution. Meanwhile, they ignored the interactions among microorganisms. To deeply understand the impact of industrial contamination on microbial community, we study the bacterial community structure and diversity in river sediments under the influence of different types of industrial pollution by Illumina MiSeq high-throughput sequencing technology and conduct a more detailed analysis of microbial community structure through co-occurrence networks.Results: The overall community composition and abundance of individual bacterial groups differed between samples. In addition, redundancy analysis indicated that the structure of the bacterial community in river sediments was influenced by a variety of environmental factors. TN, TP, TOC and metals (Cu, Zn and Cd) were the most important driving factors that determined the bacterial community in urban river sediments (P <0.01). According to PICRUSt analysis, the bacterial communities in different locations had similar overall functional profiles. It is worth noting that the 15 functional genes related to xenobiotics biodegradation and metabolism were the most abundant in the same location. The non-random assembly patterns of bacterial composition in different types of industrially polluted sediments were determined by a co-occurrence network. Environmental conditions resulting from different industrial pollutants may play an important role in determining their co-occurrence patterns of these bacterial taxa. Among them, the bacterial taxa involved in carbon and nitrogen cycles in module I were relatively abundant, and the bacterial taxa in module II were involved in the repair of metal pollution.Conclusions: Our data indicate that long-term potential interactions between different types of industrial pollution and taxa collectively affect the structure of the bacterial community in urban river sediments.

scholarly journals Impact of long-term industrial contamination on the bacterial communities in urban river sediments

2020 ◽  
Author(s):  
lei zhang ◽  
Demei Tu ◽  
Xingchen Li ◽  
Wenxuan Lu ◽  
Jing Li
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Bacterial Community ◽  
Bacterial Communities ◽  
Industrial Pollution ◽  
River Sediments ◽  
Urban River ◽  
Industrial Contamination ◽  
Different Types

Abstract Background: The contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic environments has focused on indicator bacteria related to feces and organic pollution. Meanwhile, they ignored the interactions among microorganisms. To deeply understand the impact of industrial contamination on microbial community, we study the bacterial community structure and diversity in river sediments under the influence of different types of industrial pollution by Illumina MiSeq high-throughput sequencing technology and conduct a more detailed analysis of microbial community structure through co-occurrence networks. Results: Although these sediment samples have a similar characteristic profile of high bacterial rank, their relative abundance was different, and there were significant differences among different locations. In addition, redundancy analysis indicated that the structure of the bacterial community in river sediments was influenced by a variety of environmental factors. TN, TP, TOC and metals (Cu, Zn and Cd) were the most important driving factors that determined the bacterial community in urban river sediments (P <0.01). According to PICRUSt analysis, the bacterial communities in different locations had similar overall functional profiles. It is worth noting that the 15 functional genes related to xenobiotics biodegradation and metabolism were the most abundant in the same location. The non-random assembly patterns of bacterial composition in different types of industrially polluted sediments were determined by a co-occurrence network. Among them, Denitratisoma, Anaeromyxobacter, and Candidatus Microthrix in the co-occurrence network were identified as keystone genera. The microbial taxa in the same module had closer ecological connections and involved carbon and nitrogen cycles as well as the repair of metal pollution. Conclusions: Our data indicate that long-term potential interactions between different types of industrial pollution and taxa collectively affect the structure of the bacterial community in urban river sediments.

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