Wastewater Treatment Plant Of City Research Articles

Patulibacter defluvii sp. nov., Isolated from a Wastewater Treatment Plant in Guangzhou City, China.

A novel Gram-stain-positive, aerobic, catalase-positive, oxidase-negative, non-motile, and rod-shaped bacterium with ibuprofen-degrading capacity, designated DM4T, was isolated from the sewage of a wastewater treatment plant (WWTP) in Guangzhou city, China. Strain DM4T grew optimally at 0% (w/v) NaCl, pH 5.0-7.0, and 30°C, forming white colonies on trypticase soy agar. C18:1ω9c, C18:2ω9.12c and C15:1ω10c were the predominant fatty acids. Results of 16S rRNA gene alignment and phylogenetic analysis indicated that strain DM4T belonged to the genus Patulibacter, was closely related to Patulibacter medicamentivorans DSM 25692T (98.5%) and P. brassicae KCTC 39817T (98.1%). Strain DM4T had a genome size of 5.33Mbp, and the DNA G + C content was 75.0%. The average nucleotide identity (ANI), average amino acid identity (AAI), and digital DNA-DNA hybridisation (dDDH) values between strain DM4T and P. medicamentivorans were 85.2%, 83.9%, and 29.0% respectively, while those between strain DM4T and P. brassicae were 78.5%, 71.3%, and 22.2%, respectively. Strain DM4T could significantly degrade ibuprofen by almost 80% after 84h of incubation, and the degradation kinetics was well fitted with the first-order kinetics. Evidence from phenotypic, phylogenetic and chemotaxonomic analyses support that strain DM4T (= GDMCC 1.4574T = KCTC 59145T) represents a new species of the genus Patulibacter, for which the name Patulibacter defluvii sp. nov. is proposed.

Jilin city central wastewater treatment plant renovation design scheme

Jilin City is one of the top ten famous Chinese cities worth introducing to the world. To further improve the construction of urban infrastructure and meet the needs of the economic and social development of Jilin City, the Jilin City Government Joint Development and Reform Commission and the Ecological Environment Bureau decided to expand and renovate the former Jilin City wastewater treatment plant. This study designs a wastewater treatment plant by comprehensively considering the policy needs and the local basic background characteristics of Jilin to solve the wastewater overflow problem. The design modified the anaerobic tank and Carroussel oxidation ditch processes, which have more advantages than traditional treatment processes, mainly including better BOD, nitrogen and phosphorus removal efficiency, less power consumption, and lower operating costs. This treatment plant design contains two special characteristics: the design considers the overall plan and pipeline layout of the wastewater treatment plant, and the size data of each module are calculated through theoretical study conforming to the real case.

Optimization of advanced sonoelectrochemical oxidation process with graphene-graphene electrode in improving the quality of Parand city wastewater treatment plant

Optimization of advanced sonoelectrochemical oxidation process with graphene-graphene electrode in improving the quality of Parand city wastewater treatment plant

On the Total Load Calculation in Combined Urban Sewer Conduits

Background: Particle size of sediment is necessary to design and operation of sewer systems. In this regard, calculation of the equivalent particle diameter (EPD) is of important to determine the particle Reynolds number (Ret ) as well as total load calculation. Methods: In this research work, 5 different particle diameters (i.e. d35, d50, d65, dm and deff) have been used in three famous total load calculation methods for calculating the best EPD. For this goal, a field experimental data has been collected at the entrance grit chamber of wastewater treatment plant (WWTP) of Khomein city, Iran. The total load of the sediments has been measured and the results compared with the total loads calculated by the three famous total load computation methods (i.e. Graf & Acaroglu method, Laursen method and Yang & Lim method) by using the particle diameters. Results: The results show that the methods estimate the total load of sediments with the relative errors of 4.25, 10.80 and 1.26 by using dm, d35 and d65 as the EPDs, respectively. Also, a simplified and improved correction factor has been developed and the results show that by applying the correction factor the relative errors of the methods decrease and they are equal to 10.34, 3.45 and 496.5, respectively. The improvement of the mentioned total load methods is equal to are 82.70%, 93.10% and 34.80%, respectively. Conclusion: The proposed correction factor can be applied for the standard deviation between 2.5-4.7 and the median particle diameter between 0.84-2.90 mm.

Antibiotic Resistance in Metal-Tolerant Microorganisms from Treatment Facilities.

The study examines the antibiotic resistance of metal-tolerant bacteria isolated from the wastewater treatment plant of a large city to six antibiotics belonging to the β-lactam antibiotics, aminoglycosides and amphenicols. Resistance of bacteria from sewage sludge multitolerant to heavy metals to 18 antibiotics of the β-lactam antibiotics, tetracyclines, aminoglycosides, diaminopyrimidines, amphenicols and ansamycins was studied also. Out of 10, the metal-tolerant microorganisms isolated from wastewater treatment facilities only the Klebsiella pneumonia strain (tolerant to 3 mM Cu) from the sludge of a secondary settling tank did not show resistance to the studied antibiotics at the concentrations considered. Resistance to the maximum amount of antibiotics was typical for strains Serratia fonticola SS0-1, isolated from fresh sewage sludge and resistant to 5 mmol Cu and 3 mmol Pb, or Stenotrophomonas maltophilia SS0-5, also isolated from fresh sludge and resistant to 3 mmol Zn and Cu. It is possible that bacterial resistance to antibiotics develops not only as a result of the use of antibiotics themselves, but also as a result of environmental pollution with heavy metals, and vice versa.

Study of start-up of a continuous digester on a laboratory scale treating the sludge issued from wastewater treatment plant in Adrar city (south west of Algeria)

A continuous digester type was designed at the laboratory scale with an aim to studying and improving anaerobic digestion of organic wastes. The results obtained can be extrapolated at large scale pilot plant. To study the digester start-up we have chosen as a substrate the sludge issued from the wastewater treatment plant located in Adrar city (south west of Algeria). Different parameters have been considered such as pH, VFA, COD, and volume of biogas generated during the digestion process.

Targeted community wastewater surveillance for SARS-CoV-2 and Mpox virus during a festival mass-gathering event

Wastewater surveillance has emerged recently as a powerful approach to understanding infectious disease dynamics in densely populated zones. Wastewater surveillance, while promising as a public health tool, is often hampered by slow turn-around times, complex analytical protocols, and resource-intensive techniques. In this study, we evaluated an affinity capture method and microfluidic digital PCR as a rapid approach to quantify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), mpox (formerly known as monkeypox) virus, and fecal indicator, pepper mild mottle virus (PMMoV) in wastewater during a mass-gathering event. Wastewater samples (n = 131) were collected from residential and commercial manholes, pump stations, and a city's wastewater treatment plant. The use of Nanotrap® Microbiome Particles and microfluidic digital PCR produced comparable results to other established methodologies, with reduced process complexity and analytical times, providing same day results for public health preparedness and response. Using indigenous SARS-CoV-2 and PMMoV in wastewater, the average viral recovery efficiency was estimated at 10.1 %. Both SARS-CoV-2 N1 and N2 genes were consistently detected throughout the sampling period, with increased RNA concentrations mainly in wastewater samples collected from commercial area after festival mass gatherings. The mpox virus was sporadically detected in wastewater samples during the surveillance period, without distinct temporal trends. SARS-CoV-2 RNA concentrations in the city's wastewater mirrored the city's COVID-19 cases, confirming the predictive properties of wastewater surveillance. Wastewater surveillance continues to be beneficial for tracking diseases that display gastrointestinal symptoms, including SARS-CoV-2, and can be a powerful tool for sentinel surveillance. However, careful site selection and a thorough understanding of community dynamics are necessary when performing targeted surveillance during temporary mass-gathering events as potential confirmation bias may occur.

Modeling of wastewater treatment plant in Hama city using regression and regression trees

Background: Modeling of wastewater treatment plants is necessary to predict their later works. In this research, three methods were compared to predict some parameters at the outlet of wastewater treatment plant in Hama city in Syria. Methods: In this paper, three methods (linear regression, power regression, and regression trees) to model wastewater treatment plant in Hama city were compared to predict the parameters at the outlet of the plant (cBOD5out, CODout, TSSout) in terms of the parameters at the inlet of the plant (Qin, cBOD5in, CODin, TSSin). Results: When predicting cBOD5out, the values of RMSE of the test data set were 4.4105, 4.3875, and 3.8418; when predicting CODout, the values of RMSE of the test data set were 6.9325, 6.8003, and 5.3232; and when predicting TSSout, the values of root mean squared error (RMSE) of the test data set were 3.7781, 3.6936, and 3.2391 using linear regression, power regression, and regression trees (RTs), respectively. Conclusion: According to the results, the RTs outperforms in predicting cBOD5out, CODout, and TSSout because this method achieved the least RMSE of the test data set.

The influence of military actions on operation conditions of municipal wastewater treatment plants (MWWTPs) of Kharkiv city

The events related to the military aggression against Ukraine had a significant impact on the operation conditions of the municipal wastewater treatment plants (MWWTPs) of Kharkiv city. The quantitative and qualitative indicators of influent wastewater of municipal wastewater treatment plants #1 and #2 - the biological treatment complexes "Dykanivskyi" (MWWTP-1) and "Bezlyudivskyi" (MWWTP-2) significantly had changed because of reduction of the city's population and the reduction of its industrial potential. The daily wastewater pollution loads on wastewater treatment plants in the period from March 2022 to March 2023 had decreased by almost half compared to pre-war times. The actual daily wastewater discharges were: at MWWTP-1 – 216.8 thousand m³/day (or 54.2% of design capacity according to Project of reconstruction of wastewater treatment plants and the sludge treatment line); at MWWTP-2 – 69.0 thousand m³/day (or 43.2%, respectively). The actual daily load of wastewater pollution during military actions was on average (as a percentage of the design value): at the MWWTP-1 by COD - 60%; by BOD5 – 52%; by TSS – 51%; by Ammonium Nitrogen - 66%; and by Phosphates – 27%; at MWWTP-2 by COD - 52%; by BOD5 – 51%; by TSS - 30%; by Ammonium Nitrogen - 64%; and by Phosphates – 43%. The negative consequences of termination of the started works on the reconstruction of wastewater treatment plants due to military actions on their operation conditions are considered in the paper. The conclusion was made about the need to make corrections in the project of reconstruction of wastewater treatment plants and sludge treatment in case of its restoration, taking into account the actual situation.

Levels, consumption, and variations of eight artificial sweeteners in the wastewater treatment plants of Dalian city, China

Artificial sweeteners (ASs) are emerging contaminants in the environment, primarily derived from wastewater treatment plant (WWTP) effluents. In this study, the influents and effluents of three WWTPs in the Dalian urban area, China, were analyzed for the distribution of 8 typical ASs to investigate their seasonal fluctuations in the WWTPs. The results showed that acesulfame (ACE), sucralose (SUC), cyclamate (CYC), and saccharin (SAC) were both detected in the influent and effluent water samples of WWTPs, with concentrations ranging from not detected (ND) to 14.02 μg·L−1. In addition, SUC was the most abundant ASs type, accounting for 40 %–49 % and 78 %–96 % of the total ASs in the influent and effluent water, respectively. The WWTPs revealed high removal efficiencies of CYC, SAC, and ACE, while the SUC removal efficiency was poor (26 % ± 36 %). The ACE and SUC concentrations were higher in spring and summer, and all ASs showed lower levels in winter, which may be caused by the high consumption of ice-cream in warmer months. The per capita ASs loads in the WWTPs were determined in this study based on the wastewater analysis results. The calculated per capita daily mas loads for individual ASs ranged from 0.45 g·d−1·1000p−1 (ACE) to 2.04 g·d−1·1000p−1 (SUC). In addition, the relationship between per capita ASs consumption and socioeconomic status showed no significant correlation.

Screening potential polyhydroxyalkanoate-producing bacteria from wastewater sludge.

We applied fluorescence staining of Nile red, polymerase chain reaction (PCR), and carbon substrate utilization and pressure tolerance analysis to execute three-stage screening for potential polyhydroxyalkanoate (PHA) producers in the sludge samples of 21 large-scale wastewater treatment plants of city and industrial parks in Taiwan area. Total 35,429 colonies were grown on 196 plates, the screened 30 strains were subjected to 16S rRNA analysis, and 18 identified genera belonged to Proteobacteria (67%), Firmicutes (17%), and Actinomycetota (16%). The PHA accumulation results revealed that nine genera (50% of 18 screened) produced PHAs by limiting the nitrogen source and excess single carbon sources of glucose in an aerobic status. The PHA accumulation percentage was 1.44-58.77% at dry cell weight, and the theoretical yield from glucose was 0.52-58.76%. Our results indicate that our triple-screening method is promising for identifying a high biodiversity of PHA-accumulating bacteria from activated sludge for future industrial applications.

Pilot study on microplastics in the Suquía River basin: Impact of city run-off and wastewater treatment plant discharges in the mid-2010s

The presence of microplastics (MPs) in both water and sediment has been extensively reported in marine environments, with fewer works on their presence in rivers, particularly in rivers affected by semi-arid conditions. It is likely to expect a different behavior of MPs in the sea with respect to a river, mainly because of differences in the hydrology, salinity, etc. Thus, our main goal was evaluating the presence and behavior of MPs in a river belonging to a semi-arid region (Suquía River, Province of Córdoba, Argentina), looking to assess the main sources of MPs and verifying their changes along a river section that includes a big city and its wastewater treatment plant (WWTP). Sampling was performed in October 2016, with the river at its lower flow. Results show that MPs are present in high amount throughout the studied river basin, even upstream from the main city. The WWTP was identified as one of the main sources of MPs to the stream, but the city run-off was the responsible for the higher amount of MPs in sediments. Our results show qualitative and quantitative differences with other reports on MPs in water and sediment of rivers, having a range of MPs that exceeds most previous reports in rivers. Furthermore, among MPs found, fibers were more abundant than plastic fragments, triggering the need for a deep evaluation of probable negative effects of fibers on the aquatic biota.

Evaluating the impact of COVID-19 countermeasures on alcohol consumption through wastewater-based epidemiology: A case study in Belgium

Wastewater-based epidemiology (WBE) is a complementary approach to monitor alcohol consumption in the general population. This method measures concentrations of xenobiotic biomarkers (e.g., ethyl sulphate) in influent wastewater (IWW) and converts these to population-normalized mass loads (PNML, in g/day/1000 inhabitants) by multiplying with the flow rate and dividing by the catchment population. The aims of this case study were to: (i) investigate temporal trends in alcohol use during the COVID-19 pandemic; and (ii) measure the effect of policy measures on alcohol consumption. Daily 24-h composite IWW samples (n = 735) were collected in the wastewater treatment plant of the university city of Leuven (Belgium) starting from September 2019 to September 2021. This is the first study that investigates alcohol use through WBE for a continuous period of two years on a daily basis. Mobile phone data was used to accurately capture population fluxes in the catchment area. Data was evaluated using a time series based statistical framework to graphically and quantitatively assess temporal differences in the measured PNML. Different WBE studies observed temporal changes in alcohol use during the COVID-19 pandemic. In this study, the PNML of ethyl sulphate decreased during the first lockdown phase, potentially indicating that less alcohol was consumed at the Leuven area during home confinement. Contrastingly, alcohol use increased after the re-opening of the catering industry. Additionally, a decrease in alcohol use was observed during the exam periods at the University of Leuven and an increase during the holiday periods. The present study shows the potential of WBE to rapidly assess the impact of some policy measures on alcohol consumption in Belgium. This study also indicates that WBE could be employed as a complementary data source to fill in some of the current knowledge gaps linked to lifestyle behavior.

Geospatial Analysis Model for Locating Optimum Centralized Wastewater Treatment Plant for Sulaimania City

Sulaymaniyah city has no wastewater treatment plant (WWTP) and the sewage is discharged into a stream (Qilyasan Stream) without treatment. Wastewater disposal problem has been a major concern in many developing countries because of the high rate of population growth. The aim of this study is to find the best location for a wastewater treatment plant in Sulaymaniyah city. The city consists of three major areas which are; Sulaymaniyah Central, Bakrajo, Rapareen, and Tasluja. Linear combination Mulita Criteria Decision Model (MCDM) is applied using GIS integrated with Fuzzy Analytic Hierarchy Process (FAHP). In the GIS model nine suitable criteria are used; distance to the agricultural areas, distance to the wells, distance to the sewer outlets, distance to the main roads, the area slope, the area elevation, distance to the water body, depth to the groundwater table and distance to the industrial area. Moreover, two restricted layers are considered; the distance from the residential areas and the distance from other buildings such as; educational buildings, sports centers, commercial areas, and the airport. The buffer distance of the restricted distances is taken 1,220 m. FAHP is used to find the weights of the suitable criteria that applied in the linear combination equation. The result showed five final suitable classifications; not suitable, low suitable, moderately suitable, highly suitable, and extremely suitable.

Metal-Tolerant Bacteria of Wastewater Treatment Plant in a Large City

Biological treatment methods are the most important part of the treatment process for domestic wastewater, the amounts of which are increasing every year due to rapid, unregulated urbanization and the rising number of people living in such areas. At the same time, microorganisms existing in treatment facilities should not only effectively utilize organic pollutants, but also be resistant to a variety of organic and inorganic contaminants. This study’s objective is to isolate and identify—using molecular genetic techniques—strains of bacteria that tolerate concentrations of heavy metals (Ni, Cd, Pb, Zn and Cu) in the 3–5 mM range. They were sourced from water and sludge samples obtained from sewage treatment facilities in a large city. Outcomes of phylogenetic analysis of 16S rRNA gene sequences revealed that tolerant strains of bacteria belonged to the genera Pseudomonas, Serratia and Klebsiella; strains belonging to the genus Pseudomonas dominated. Of ten resistant strains, nine were isolated from sludge and water samples of the secondary sedimentation tank, and the other one from a treatment plant’s digester. Changes in the color of microorganisms’ colonies became evident when cultivated on media enriched with heavy metals. Cultivating nonpathogenic strains of these bacteria and their introduction into communities of other activated sludge microorganisms could have practical application to biological decontamination of wastewater.

Assessment of water quality variations due to operation of wastewater treatment plant in Ca Mau city

The wastewater treatment plant (WWTP) in Ca Mau city, which is being planned for construction, will be responsible for treating domestic wastewater with a capacity of 8,000 m3/day. After being treated by the physic-biological method, the plant’s wastewater will be discharged into the Thong Nhat canal and the Tac Thu river. As a result, this article applies the MIKE21 model to calculate the range, the distance, and the concentration of typical pollutants for domestic wastewater, including TSS, BOD5, NH4+, and total Coliforms in the dry season, to provide evidence for water resource management following the plant’s construction. Two scenarios were established; in scenario 1 (S1), the WWTP is being operated inefficiently, and the wastewater has not been treated up to standards. Maximum calculation in case the processing performance = 0; in scenario 2 (S2), the WWTP is being operated efficiently. The concentration of 4 components in wastewater is lower than the critical value of QCVN 14:2008/BTNMT (column B, K = 1). The results show that the waste source will highly affect the water in the Thong Nhat canal both downstream and upstream due to the irregular semi-diurnal tide regime in case of the plant experiences problems (S1). In the case of the stable operation plant (S2), the pollutant concentrations at all positions will be lower than the critical value of QCVN 08-MT:2015/BTNMT (column B1) except for the TSS. Concentration variation is evident over time and distance: after about 1 hour and about 1 km from the source, the concentration of pollutants reaches the maximum value, then gradually decreases and ends at about 4 km after 7 hours.

Wastewater-Based Epidemiology for COVID-19: Handling qPCR Nondetects and Comparing Spatially Granular Wastewater and Clinical Data Trends.

Wastewater-based epidemiology (WBE) is a useful complement to clinical testing for managing COVID-19. While community-scale wastewater and clinical data frequently correlate, less is known about subcommunity relationships between the two data types. Moreover, nondetects in qPCR wastewater data are typically handled through methods known to bias results, overlooking perhaps better alternatives. We address these knowledge gaps using data collected from September 2020–June 2021 in Davis, California (USA). We hypothesize that coupling the expectation maximization (EM) algorithm with the Markov Chain Monte Carlo (MCMC) method could improve estimation of “missing” values in wastewater qPCR data. We test this hypothesis by applying EM-MCMC to city wastewater treatment plant data and comparing output to more conventional nondetect handling methods. Dissimilarities in results (i) underscore the importance of specifying nondetect handling method in reporting and (ii) suggest that using EM-MCMC may yield better agreement between community-scale clinical and wastewater data. We also present a novel framework for spatially aligning clinical data with wastewater data collected upstream of a treatment plant (i.e., distributed across a sewershed). Applying the framework to data from Davis reveals reasonable agreement between wastewater and clinical data at highly granular spatial scales—further underscoring the public-health value of WBE.

Performance Upgrading Evaluation of the Anaerobic Baffled Reactor by Integrating Aerobic Media Filter for Municipal Wastewater Treatment

Background & Aims of the Study: Anaerobic baffled reactor (ABR) is one of the low-cost wastewater treatment systems; however, it has some limitations, such as insufficient standard nutrient outflow. Accordingly, it should be studied and developed. This research aims to determine the efficiency of a five-sectional reactor pilot and to upgrade it with an integrated aerated media filter in the reactor (integrated reactor) for municipal wastewater treatment. Materials and Methods: This study was performed on a laboratory scale with field conditions in the Khoy City wastewater treatment plant. The ABR reactor operated for 270 days with a hydraulic retention time (HRT) of 48, 36, 24, and 18 hours, respectively. The Integrated anaerobic baffled reactor (IABR) was operated for 35 days with 24 hours of HRT, i.e., aeration time of 5 hours. The reactors were fed in line from the inflowing wastewater to the treatment plant. A 24-hour combined sampling was performed 224 times from the inflow and outflow of the system, and volatile suspended solids, total kjeldahl nitrogen (TKN), total phosphorus (TP), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and Total Suspended Solids (TSS) parameters were measured and compared with the effluent disposal standard. Results: The launch of ABR lasted 105 days, and its helpful operation lasted 200 days. In 18 to 48 hours, the reactor removed 79% to 91% of COD, 9% to 20% of TKN, 19% to 30% of phosphorus, and 89% to 94% of TSS. The IABR reached the effluent disposal standard in terms of TSS, BOD, COD, and phosphorus under 24 hours HRT, i.e., aeration time of 5 hours, and increased the COD removal efficiency by 6% compared to ABR under 24 hours HRT and the same conditions. Conclusion: By integrating the final aerobic media filter in ABR while reducing the required HRT by 50%, its efficiency in achieving the effluent disposal standards increased compared to ABR. Therefore, this system can be used to treat municipal wastewater.

Health risks of inhalation exposure to BTEX in a municipal wastewater treatment plant in Middle East city: Shiraz, Iran.

Benzene, toluene, ethylbenzene, and xylene, known as BTEX, adversely affect human health. This study aimed to measure BTEX concentration and assess the health risk through inhalation exposure to these compounds in a municipal wastewater treatment plant. The ambient air samples were collected using the active sampling method in summer and winter. Sampling sites were close to wastewater treatment units, including bar screen & grit chamber (Site-1), aeration tank & secondary clarifiers (Site-2), anaerobic sludge digester (Site-3), and office & control building (Site-4). Results indicate that the mean levels of benzene and toluene in winter were higher than in summer. The levels of benzene and toluene were below the occupational exposure levels of the American Conference of Governmental Industrial Hygienists (ACGIH) and Occupational Safety and Health Administration (OSHA). The carcinogenic risk (CR) and hazard quotient (HQ) were assessed using the United States Environmental Protection Agency (U.S.EPA) method, and Monte Carlo simulation (MCS) was applied to quantify the uncertainty and sensitivity analysis. The CRs for all sampling sites were below the U.S.EPA threshold limit (1.0×10-4). The HQ values for benzene nearby Site-2 were above 1.0, indicating inhalation exposure could pose a health hazard. Besides, the HQ results for exposure to toluene in all sampling sites were less than 1.0. The sensitivity analysis had shown that the risk determinant for carcinogenic and non-carcinogenic risk was exposure time, followed by concentration.

Different fosA genes were found on mobile genetic elements in Escherichia coli from wastewaters of hospitals and municipals in Turkey

AimsThe increasing number of globally established fosfomycin-resistant (FosR) Gram-negative bacteria inspired us to investigate the occurrence of FosREnterobacterales populations (esp. E. coli) in samples of city wastewater treatment plants (WWTPs) and hospital sewage in Hatay, Turkey. FosR target bacteria were further characterized for their clonal relatedness, resistomes and mobile genetic elements (MGEs) to evaluate their impact on fosfomycin resistance dissemination. MethodsA total of 44 samples from raw and treated waters of WWTPs as well as of two hospitals in the Hatay province were subjected to selective cultivation for recovering FosREnterobacterales. The presence of fosA was verified by PCR and Sanger amplicon sequencing. Detected E. coli were further evaluated against antimicrobial susceptibility-testing, macrorestriction profiling (PFGE) and whole-genome sequencing (WGS). Bioinformatics analysis was performed for genome subtyping (i.e., MLST, serotype), resistome/virulome determination and dissection of the genetic determinants of plasmidic fosA3/4 resistances. ResultsBesides ten non-E. coli Enterobacterales, 29 E. coli were collected within this study. In silico-based subtyping revealed that E. coli isolates were assigned to six different serovars and 14 sequence types (ST), while O8:H21 and ST410 represented the major prevalent types, respectively. Fosfomycin resistance in the isolates was found to be mediated by the fosA4 (n = 18), fosA3 (n = 10) and fosA (n = 1), which are frequently associated with transmissible MGEs. Reconstruction of plasmid-associated fosA gene context revealed a linkage between the resistance cassette and IS6 (IS26 family) transposases, which might represent a major driver for the distribution of the genes and the generation of novel fosA-carrying plasmids. ConclusionsThe occurrence of plasmid-mediated, transmissible FosR in E. coli from wastewater pose a foreseeable threat to “One-Health”. To minimize further spread of the resistances in bacterial populations associated with environmental, animal and human health further resistance monitoring and management strategies must be developed.