Factors affecting Escherichia coli concentrations at Lake Erie public bathing beaches

Francy, Donna S.; Darner, Robert A.

doi:10.3133/wri984241

Cited by 10 publications

(3 citation statements)

References 6 publications

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“…The concurrent presence of people and geese is a relevant factor in explaining high bacteria levels at beaches (Kirschner and others, 2004), and was deemed potentially important for Pawtuckaway Beach. In addition, water quality and weather-related factors have helped explain high bacteria counts in other public beaches in the eastern United States (Francy and Darner, 1998), so these variables were also considered in relation to bacteria levels at Pawtuckaway Beach.…”

Section: Abbreviationsmentioning

confidence: 99%

“…In 1997, the USGS started a collaborative project with Federal, State, and local agencies in Ohio to identify environmental factors affecting bacteria levels at public beaches (Francy and Darner, 1998). The work consists of four main components: real-time assessments of water quality; coastal processes; pathogens and source tracking; and data analysis, interpretation, and communication.…”

Section: Predicting Conditions At Recreational Beachesmentioning

confidence: 99%

“…In cases where modeling efforts have been highly successful at predicting when levels of fecal bacteria would rise, the underlying factors were often associated with weather events, especially rainfall (Francy and Darner, 2006;Sampson and others, 2006;Kleinheinz and others, 2009). For example, beaches in densely populated urban areas, such as cities and towns along the Great Lakes, can be affected by E. coli contaminated storm water (for example, from animal sources) or effluent from faulty sewer systems; an increase in levels of E. coli might be expected after heavy rainfall and when certain wind and current conditions convey the contaminated water to the beach area (Francy and Darner, 1998). Under such circumstances, a predictive model developed for a specific beach could effectively forecast when high levels of bacteria were expected.…”

Section: Predicting Conditions At Recreational Beachesmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating associations between environmental variables and Escherichia coli levels for predictive modeling at Pawtuckaway Beach in Nottingham, New Hampshire, from 2015 to 2017

Coles¹,

Bush²

2019

Scientific Investigations Report

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Section: Abbreviationsmentioning

confidence: 99%

Section: Predicting Conditions At Recreational Beachesmentioning

confidence: 99%

Section: Predicting Conditions At Recreational Beachesmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating associations between environmental variables and Escherichia coli levels for predictive modeling at Pawtuckaway Beach in Nottingham, New Hampshire, from 2015 to 2017

Coles¹,

Bush²

2019

Scientific Investigations Report

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Indicator Organisms Associated with Stormwater Suspended Particles and Estuarine Sediment

Jeng

England

Bradford

2005

J. of Env. Sc. & Hlth., Part A

110

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This study examined the fate of indicator organisms (fecal coliform, E. coli, and enterococci) from urban stormwater runoff associated with estuarine sediments and stormwater suspended particles. The research found a significant increase of fecal coliform, E. coli, and enterococci in the estuarine sediments at study sites following a given stormwater event. The sedimentation mechanism was linked to an increase in indicator organisms in the estuarine sediments. These indicator organisms attached to stormwater suspended particles, which then settled to the bottom sediment. A higher percentage of attachment onto stormwater suspended particles was observed for E. coli as compared to enterococci and fecal coliform. Among the three organisms, enterococci preferentially attached to the particles with diameters from 10 microm to 30 microm, while fecal coliform and E. coli had a broader distribution. Estuarine sediments were found to prolong survival of indicator organisms for at least seven days prior to reduction to background levels.

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A spatial, multivariable approach for identifying proximate sources of Escherichia coli to Maumee Bay, Lake Erie, Ohio

Francy¹,

Struffolino²,

Brady³

et al. 2005

Open-File Report

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Sources of E. coli at U.S. beaches are often unknown. Determining the spatial distribution of E. coli and identifying factors that can affect concentrations may provide insight into the sources of fecal contamination. This approach was used to investigate a popular bathing beach in northwest Ohio-Maumee Bay State Park (MBSP). In 2003 synoptic studies, water and bed-sediment samples were collected and analyzed for E. coli at 24 sites within Maumee Bay, a nearby shipping channel, a major tributary to the bay (Maumee River), and nearshore areas at the mouths of drainage ditches. In 2004, samples were collected at 22 sites identified as "hot spots" of fecal contamination during 2003. Daily samples for E. coli were collected at MBSP as part of the Ohio Bathing Beach Monitoring Program. Highest E. coli concentrations were found at sites in the Maumee River, the shipping channel, and in or at the mouth of some drainage ditches. These high values were found in bed sediments underlying the deepest waters, which may act as an E. coli sink. Low E. coli concentrations at sites remote to MBSP indicated that sources from these areas were not important contributors of E. coli. Temperature changes in discharge from a local powerplant did not cause an increase in E. coli concentrations. A ditch that discharges 75 m east of the bathing beach was shown to be a principal source of E. coli.

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Factors affecting Escherichia coli concentrations at Lake Erie public bathing beaches

Cited by 10 publications

References 6 publications

Evaluating associations between environmental variables and Escherichia coli levels for predictive modeling at Pawtuckaway Beach in Nottingham, New Hampshire, from 2015 to 2017

Evaluating associations between environmental variables and Escherichia coli levels for predictive modeling at Pawtuckaway Beach in Nottingham, New Hampshire, from 2015 to 2017

Indicator Organisms Associated with Stormwater Suspended Particles and Estuarine Sediment

A spatial, multivariable approach for identifying proximate sources of Escherichia coli to Maumee Bay, Lake Erie, Ohio

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