Quantitative fecal pollution assessment with bacterial, viral, and molecular methods in small stream tributaries.

Autor: McMinn BR; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States. Electronic address: mcminn.brian@epa.gov., Korajkic A; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States., Kelleher J; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States., Diedrich A; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States., Pemberton A; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States., Willis JR; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States., Sivaganesan M; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States., Shireman B; Sanitation District No. 1 of Northern Kentucky, 1045 Eaton Drive, Fort Wright, KY 41017, United States., Doyle A; Sanitation District No. 1 of Northern Kentucky, 1045 Eaton Drive, Fort Wright, KY 41017, United States., Shanks OC; Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Laboratory, 26 West Martin Luther King Drive, Cincinnati, OH 45268, United States.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2024 Nov 15; Vol. 951, pp. 175740. Date of Electronic Publication: 2024 Aug 23.
DOI: 10.1016/j.scitotenv.2024.175740
Abstrakt: Stream water quality can be impacted by a myriad of fecal pollution sources and waste management practices. Identifying origins of fecal contamination can be challenging, especially in high order streams where water samples are influenced by pollution from large drainage areas. Strategic monitoring of tributaries can be an effective strategy to identify conditions that influence local water quality. Water quality is assessed using fecal indicator bacteria (FIB); however, FIB cannot differentiate sources of fecal contamination nor indicate the presence of disease-causing viruses. Under different land use scenarios, three small stream catchments were investigated under 'wet' and 'dry' conditions (Scenario 1: heavy residential; Scenario 2: rural residential; and Scenario 3: undeveloped/agricultural). To identify fecal pollution trends, host-associated genetic targets HF183/BacR287 (human), Rum2Bac (ruminant), GFD (avian), and DG3 (canine) were analyzed along with FIB (Escherichia coli and enterococci), viral indicators (somatic and F+ coliphage), six general water quality parameters, and local rainfall. Levels of E. coli exceeded single sample maximum limits (235 CFU/100 mL) in 70.7 % of samples, enterococci (70 CFU/100 mL) in 100 % of samples, and somatic coliphage exceeded advisory thresholds (600 PFU/L) in 34.1 % of samples. The detection frequency for the human-associated genetic marker was highest in Scenario 3 (50 % of samples) followed by Scenario 2 (46 %), while the ruminant-associated marker was most prevalent in Scenario 1 (64 %). Due to the high proportion of qPCR-based measurements below the limit of quantification, a Bayesian data analysis approach was applied to investigate links between host-associated genetic marker occurrence with that of rainfall and fecal indicator levels. Multiple trends associated with small stream monitoring were revealed, emphasizing the role of rainfall, the utility of fecal source information to improve water quality management. And furthermore, water quality monitoring with bacterial or viral methodologies can alter the interpretation of fecal pollution sources in impaired waters.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Published by Elsevier B.V.)
Databáze: MEDLINE
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