---
cited_by:
  - publication: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/finding/exposure-risk-from-extreme-precipitation-events
    publication_type: finding
    reference: /reference/e4ad4655-b747-4844-9737-ee6da2650b39
  - publication: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses
    publication_type: chapter
    reference: /reference/e4ad4655-b747-4844-9737-ee6da2650b39
  - publication: /report/usgcrp-climate-human-health-assessment-2016
    publication_type: report
    reference: /reference/e4ad4655-b747-4844-9737-ee6da2650b39
contributors: []
description: 'We investigated the potential for a variety of environmental reservoirs to harbor or contribute fecal indicator bacteria (FIB), DNA markers of human fecal contamination, and human pathogens to a freshwater lake. We hypothesized that submerged aquatic vegetation (SAV), sediments, and stormwater act as reservoirs and/or provide inputs of FIB and human pathogens to this inland water. Analysis included microbial source tracking (MST) markers of sewage contamination (Enterococcus faecium esp gene, human-associated Bacteroides HF183, and human polyomaviruses), pathogens (Salmonella, Cryptosporidium, Giardia, and enteric viruses), and FIB (fecal coliforms,Escherichia coli, and enterococci). Bayesian analysis was used to assess relationships among microbial and physicochemical variables. FIB in the water were correlated with concentrations in SAV and sediment. Furthermore, the correlation of antecedent rainfall and major rain events with FIB concentrations and detection of human markers and pathogens points toward multiple reservoirs for microbial contaminants in this system. Although pathogens and human-source markers were detected in 55% and 21% of samples, respectively, markers rarely coincided with pathogen detection. Bayesian analysis revealed that low concentrations (<45 CFU x 100 ml[?]1) of fecal coliforms were associated with 93% probability that pathogens would not be detected; furthermore the Bayes net model showed associations between elevated temperature and rainfall with fecal coliform and enterococci concentrations, but not E. coli. These data indicate that many under-studied matrices (e.g. SAV, sediment, stormwater) are important reservoirs for FIB and potentially human pathogens and demonstrate the usefulness of Bayes net analysis for water quality assessment. '
display_name: Assessment of sources of human pathogens and fecal contamination in a Florida freshwater lake
doi: 10.1016/j.watres.2012.08.012
files: []
href: http://52.38.26.42:8080/article/10.1016/j.watres.2012.08.012.yaml
identifier: 10.1016/j.watres.2012.08.012
journal_identifier: water-research
journal_pages: 5799-5812
journal_vol: 46
notes: ~
parents:
  - display_name: "Finding 6.2 of 'The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment'"
    reference: /reference/e4ad4655-b747-4844-9737-ee6da2650b39
    relationship: cito:isCitedBy
    uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/finding/exposure-risk-from-extreme-precipitation-events
  - display_name: "Chapter 6: Climate Impacts on Water-Related Illnesses (in 'The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment')"
    reference: /reference/e4ad4655-b747-4844-9737-ee6da2650b39
    relationship: cito:isCitedBy
    uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses
  - display_name: 'The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment'
    reference: /reference/e4ad4655-b747-4844-9737-ee6da2650b39
    relationship: cito:isCitedBy
    uri: /report/usgcrp-climate-human-health-assessment-2016
references: []
title: Assessment of sources of human pathogens and fecal contamination in a Florida freshwater lake
type: article
uri: /article/10.1016/j.watres.2012.08.012
url: ~
year: 2012