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Antimicrobial-resistant Escherichia coli in the aquatic environments is considered a strong indicator of sewage or animal waste contamination and antibiotic pollution. Sewer construction and wastewater treatment plant (WWTP) infrastructure may serve as concentrated point sources of contamination of antibiotic-resistant bacteria and antibiotic resistance genes. In this study, we focused on the distribution of antimicrobial-resistant E. coli in two rivers with large drainage areas and different urbanisation levels. E. coli from Kaoping River with drainage mainly from livestock farming had higher resistance to antibiotics (e.g. penicillins, tetracyclines, phenicols, aminoglycosides, and sulpha drugs) and presented more positive detection of antibiotic-resistance genes (e.g. ampC, bla, tetA, and cmlA1) than that from Tamsui River. In Kaoping River with a lower percentage of sewer construction nearby (0-30%) in contrast to a higher percentage of sewer construction (55-92%) in Tamsui River, antimicrobial-resistant E. coli distribution was related to livestock farming waste. In Tamsui River, antimicrobial resistant E. coli isolates were found more frequently in the downstream drainage area of WWTPs with secondary water treatment than that of WWTPs with tertiary water treatment. The Enterobacterial Repetitive Intergenic Consensus (ERIC) PCR showed that the fingerprinting group was significantly related to the sampling site (p < 0.01) and sampling date (p < 0.05). By utilising ERIC-PCR in conjunction with antibiotic susceptibility and antibiotic-resistance gene detection, the relationship among different strains of E. coli could be elucidated. Furthermore, we identified the presence of six extra-intestinal pathogenic E. coli isolates and antibiotic-resistant E. coli isolates near drinking water sources, posing a potential risk to public health through community transmission. In conclusion, this study identified environmental factors related to antibiotic-resistant bacteria and antibiotic-resistance gene contamination in rivers during urban development. The results facilitate the understanding of specific management of different waste streams across different urban areas. Periodic surveillance of the effects of WWTPs and livestock waste containing antibiotic-resistant bacteria and antibiotic-resistance genes on river contamination is necessary.
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http://dx.doi.org/10.1016/j.ecoenv.2023.115372 | DOI Listing |
Water Sci Technol
August 2025
Department of Environmental and Resource Engineering (DTU Sustain), Technical University of Denmark, Bygningstorvet, Building 115, 2800 Kongens Lyngby, Denmark.
The aim of this work is to investigate how open data can play a beneficial role in the regulation of combined sewer overflows (CSOs). The investigation consists of a review and critical discussion of historic CSO design, alongside more recent developments of regulations and emerging experiences of monitoring CSOs and different levels of data openness. The study focuses on practice in 10 European countries/regions.
View Article and Find Full Text PDFJ Environ Manage
September 2025
Department of Environmental Health Sciences, University at Albany, State University of New York, 1 University Place, Rensselaer, NY, 12144, USA.
Rainwater harvesting and reuse with rain barrels/cisterns holds substantial potentials to restore urban hydrology, improve water quality, and provide a resource for landscape irrigation under current and future climates. However, to assist decision-making, a systematic framework needs to be created to develop sustainable rainwater harvesting and reuse strategies for urban landscape irrigation considering their multi-functional impacts in a changing climate. This study created a novel framework for developing sustainable rainwater harvesting and reuse strategies for urban landscape irrigation in a changing climate with various components, including changes in climate parameters, baselines with/without rainwater harvesting/reuse, potential scenarios with rainwater harvesting/reuse, and identification of sustainable strategies using individual and combined indicators (discharge volume, peak discharge, combined sewer overflow-CSO, freshwater demand, and plant growth).
View Article and Find Full Text PDFJ Environ Manage
September 2025
Department of Civil and Environmental Engineering, Duke University, BOX 90287, Durham, NC, 27708, USA. Electronic address:
High-flow events that significantly impact Water Resource Recovery Facility (WRRF) operations are rare, but accurately predicting these flows could improve treatment operations. Data-driven modeling approaches could be used; however, high flow events that impact operation are an infrequent occurrence, providing limited data from which to learn meaningful patterns. The performance of a statistical model (logistic regression) and two machine learning (ML) models (support vector machine and random forest) were evaluated to predict high flow events one-day-ahead to two plants located in different parts of the United States, Northern Virginia and the Gulf Coast of Texas, with combined and separate sewers, respectively.
View Article and Find Full Text PDFEnviron Sci Technol
July 2025
The Grainger College of Engineering, Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Lack of access to sanitation is a challenge that persists globally, with low sewerage connection rates in many low- and lower-middle-income countries. Engineered nonsewered sanitation (NSS) technologies can meet treatment requirements without sewers, but their relative sustainability varies across potential deployment sites. Here, we characterize the costs and carbon intensity (CI) of three emerging NSS technologies, two community reinvented toilets (CRTs) and one Omni Processor (OP), across 77 countries, identify sustainability performance typologies, and map typology prevalence in countries across the globe.
View Article and Find Full Text PDFJ Hazard Mater
September 2025
Centre for Urban Sustainability and Resilience, Department of Civil, Environmental & Geomatic Engineering, University College London, London WC1E 6BT, United Kingdom.
This study uses the Pb chronology to assess the historical dynamics and aging effects of microplastics (MPs) in urban areas with separate sewer systems and multiple-use reservoir for the first time, reconstructing their temporal deposition over multiple decades. The Sorocaba River basin, state of São Paulo, Brazil, was chosen as study area. Direct release of untreated urban sewage and stormwater runoff was the main source of MPs in riverbed sediments before 2006.
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