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Donna Francy (Former Employee)

Science and Products

Lake Erie green waters at the Beach with Buoy marking swim area

USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms

U.S. Geological Survey (USGS) scientists identified water-quality and environmental factors related to cyanobacterial harmful algal blooms at beaches in Ohio. This information was collected as part of a long-term plan to develop site-specific predictive models for microcystin concentrations.
By
Ecosystems Mission Area, Contaminant Biology, Environmental Health Program, Toxic Substances Hydrology
USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms

USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms

U.S. Geological Survey (USGS) scientists identified water-quality and environmental factors related to cyanobacterial harmful algal blooms at beaches in Ohio. This information was collected as part of a long-term plan to develop site-specific predictive models for microcystin concentrations.
Learn More
red dots on map of the Great Lakes

Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches

The Great Lakes Restoration initiative (GLRI) template #77 (Beach Recreation Water Quality) in cooperation with 23 local and state agencies expanded the use of predictive modeling at 45 beaches throughout the Great Lakes (fig 1). Local agencies measure fecal-indicator bacteria such as Escherichia coli (E. coli.) along with easily obtained environmental variables used as surrogates to...
By
New York Water Science Center
Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches

Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches

The Great Lakes Restoration initiative (GLRI) template #77 (Beach Recreation Water Quality) in cooperation with 23 local and state agencies expanded the use of predictive modeling at 45 beaches throughout the Great Lakes (fig 1). Local agencies measure fecal-indicator bacteria such as Escherichia coli (E. coli.) along with easily obtained environmental variables used as surrogates to estimate conc
Learn More
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Filter Total Items: 46

Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14 Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14

Harmful cyanobacterial “algal” blooms (cyanoHABs) and associated toxins, such as microcystin, are a major water-quality issue for Lake Erie and inland lakes in Ohio. Predicting when and where a bloom may occur is important to protect the public that uses and consumes a water resource; however, predictions are complicated and likely site specific because of the many factors affecting...
Authors
Donna S. Francy, Jennifer L. Graham, Erin A. Stelzer, Christopher D. Ecker, Amie M.G. Brady, Pam Struffolino, Keith A. Loftin
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center

Developing and implementing the use of predictive models for estimating water quality at Great Lakes beaches Developing and implementing the use of predictive models for estimating water quality at Great Lakes beaches

Predictive models have been used at beaches to improve the timeliness and accuracy of recreational water-quality assessments over the most common current approach to water-quality monitoring, which relies on culturing fecal-indicator bacteria such as Escherichia coli (E. coli.). Beach-specific predictive models use environmental and water-quality variables that are easily and quickly...
Authors
Donna S. Francy, Amie M. G. Brady, Rebecca B. Carvin, Steven R. Corsi, Lori M. Fuller, John H. Harrison, Brett A. Hayhurst, Jeremiah Lant, Meredith B. Nevers, Paul J. Terrio, Tammy M. Zimmerman
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center, Pennsylvania Water Science Center, Ohio Water Microbiology Laboratory

Reply to “Ranking filter methods for concentrating pathogens in lake water” Reply to “Ranking filter methods for concentrating pathogens in lake water”

Accurately comparing filtration methods is indeed difficult. Our method (1) and the method described by Borchardt et al. for determining recoveries are both acceptable approaches; however, each is designed to achieve a different research goal. Our study was designed to compare recoveries of multiple microorganisms in surface-water samples. Because, in practice, water-matrix effects come...
Authors
Rebecca N. Bushon, Donna S. Francy, Vicente J. Gallardo, H.D. Alan Lindquist, Eric N. Villegas, Michael W. Ware
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center

Comparing rapid and culture indicator bacteria methods at inland lake beaches Comparing rapid and culture indicator bacteria methods at inland lake beaches

A rapid method, quantitative polymerase chain reaction (qPCR), for quantifying indicator bacteria in recreational waters is desirable for public health protection. We report that replacing current Escherichia coli standards with new US Environmental Protection Agency beach action values (BAVs) for enterococci by culture or qPCR may result in more advisories being posted at inland...
Authors
Donna S. Francy, Rebecca N. Bushon, Amie M. G. Brady, Christopher M. Kephart
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center

Predictive models for Escherichia coli concentrations at inland lake beaches and relationship of model variables to pathogen detection Predictive models for Escherichia coli concentrations at inland lake beaches and relationship of model variables to pathogen detection

Predictive models, based on environmental and water quality variables, have been used to improve the timeliness and accuracy of recreational water quality assessments, but their effectiveness has not been studied in inland waters. Sampling at eight inland recreational lakes in Ohio was done in order to investigate using predictive models for Escherichia coli and to understand the links...
Authors
Donna S. Francy, Erin A. Stelzer, Joseph W. Duris, Amie M. G. Brady, John H. Harrison, Heather E. Johnson, Michael W. Ware
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center, Ohio Water Microbiology Laboratory

Comparison of filters for concentrating microbial indicators and pathogens in lake-water samples Comparison of filters for concentrating microbial indicators and pathogens in lake-water samples

Bacterial indicators are used to indicate increased health risk from pathogens and to make beach closure and advisory decisions; however, beaches are seldom monitored for the pathogens themselves. Studies of sources and types of pathogens at beaches are needed to improve estimates of swimming-associated health risks. It would be advantageous and cost-effective, especially for studies...
Authors
Donna S. Francy, Erin A. Stelzer, Amie M. G. Brady, Carrie Huitger, Rebecca N. Bushon, S. Ip, Michael W. Ware, Eric N. Villegas, Vincent Gallardo, H.D. Alan Lindquist
By
Ecosystems Mission Area, Water Resources Mission Area, National Wildlife Health Center, Ohio-Kentucky-Indiana Water Science Center, Ohio Water Microbiology Laboratory

Science and Products

Lake Erie green waters at the Beach with Buoy marking swim area

USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms

U.S. Geological Survey (USGS) scientists identified water-quality and environmental factors related to cyanobacterial harmful algal blooms at beaches in Ohio. This information was collected as part of a long-term plan to develop site-specific predictive models for microcystin concentrations.
By
Ecosystems Mission Area, Contaminant Biology, Environmental Health Program, Toxic Substances Hydrology
USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms

USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms

U.S. Geological Survey (USGS) scientists identified water-quality and environmental factors related to cyanobacterial harmful algal blooms at beaches in Ohio. This information was collected as part of a long-term plan to develop site-specific predictive models for microcystin concentrations.
Learn More
red dots on map of the Great Lakes

Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches

The Great Lakes Restoration initiative (GLRI) template #77 (Beach Recreation Water Quality) in cooperation with 23 local and state agencies expanded the use of predictive modeling at 45 beaches throughout the Great Lakes (fig 1). Local agencies measure fecal-indicator bacteria such as Escherichia coli (E. coli.) along with easily obtained environmental variables used as surrogates to...
By
New York Water Science Center
Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches

Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches

The Great Lakes Restoration initiative (GLRI) template #77 (Beach Recreation Water Quality) in cooperation with 23 local and state agencies expanded the use of predictive modeling at 45 beaches throughout the Great Lakes (fig 1). Local agencies measure fecal-indicator bacteria such as Escherichia coli (E. coli.) along with easily obtained environmental variables used as surrogates to estimate conc
Learn More
No Result Found
No results found.
Filter Total Items: 46

Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14 Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14

Harmful cyanobacterial “algal” blooms (cyanoHABs) and associated toxins, such as microcystin, are a major water-quality issue for Lake Erie and inland lakes in Ohio. Predicting when and where a bloom may occur is important to protect the public that uses and consumes a water resource; however, predictions are complicated and likely site specific because of the many factors affecting...
Authors
Donna S. Francy, Jennifer L. Graham, Erin A. Stelzer, Christopher D. Ecker, Amie M.G. Brady, Pam Struffolino, Keith A. Loftin
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center

Developing and implementing the use of predictive models for estimating water quality at Great Lakes beaches Developing and implementing the use of predictive models for estimating water quality at Great Lakes beaches

Predictive models have been used at beaches to improve the timeliness and accuracy of recreational water-quality assessments over the most common current approach to water-quality monitoring, which relies on culturing fecal-indicator bacteria such as Escherichia coli (E. coli.). Beach-specific predictive models use environmental and water-quality variables that are easily and quickly...
Authors
Donna S. Francy, Amie M. G. Brady, Rebecca B. Carvin, Steven R. Corsi, Lori M. Fuller, John H. Harrison, Brett A. Hayhurst, Jeremiah Lant, Meredith B. Nevers, Paul J. Terrio, Tammy M. Zimmerman
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center, Pennsylvania Water Science Center, Ohio Water Microbiology Laboratory

Reply to “Ranking filter methods for concentrating pathogens in lake water” Reply to “Ranking filter methods for concentrating pathogens in lake water”

Accurately comparing filtration methods is indeed difficult. Our method (1) and the method described by Borchardt et al. for determining recoveries are both acceptable approaches; however, each is designed to achieve a different research goal. Our study was designed to compare recoveries of multiple microorganisms in surface-water samples. Because, in practice, water-matrix effects come...
Authors
Rebecca N. Bushon, Donna S. Francy, Vicente J. Gallardo, H.D. Alan Lindquist, Eric N. Villegas, Michael W. Ware
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center

Comparing rapid and culture indicator bacteria methods at inland lake beaches Comparing rapid and culture indicator bacteria methods at inland lake beaches

A rapid method, quantitative polymerase chain reaction (qPCR), for quantifying indicator bacteria in recreational waters is desirable for public health protection. We report that replacing current Escherichia coli standards with new US Environmental Protection Agency beach action values (BAVs) for enterococci by culture or qPCR may result in more advisories being posted at inland...
Authors
Donna S. Francy, Rebecca N. Bushon, Amie M. G. Brady, Christopher M. Kephart
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center

Predictive models for Escherichia coli concentrations at inland lake beaches and relationship of model variables to pathogen detection Predictive models for Escherichia coli concentrations at inland lake beaches and relationship of model variables to pathogen detection

Predictive models, based on environmental and water quality variables, have been used to improve the timeliness and accuracy of recreational water quality assessments, but their effectiveness has not been studied in inland waters. Sampling at eight inland recreational lakes in Ohio was done in order to investigate using predictive models for Escherichia coli and to understand the links...
Authors
Donna S. Francy, Erin A. Stelzer, Joseph W. Duris, Amie M. G. Brady, John H. Harrison, Heather E. Johnson, Michael W. Ware
By
Water Resources Mission Area, Ohio-Kentucky-Indiana Water Science Center, Ohio Water Microbiology Laboratory

Comparison of filters for concentrating microbial indicators and pathogens in lake-water samples Comparison of filters for concentrating microbial indicators and pathogens in lake-water samples

Bacterial indicators are used to indicate increased health risk from pathogens and to make beach closure and advisory decisions; however, beaches are seldom monitored for the pathogens themselves. Studies of sources and types of pathogens at beaches are needed to improve estimates of swimming-associated health risks. It would be advantageous and cost-effective, especially for studies...
Authors
Donna S. Francy, Erin A. Stelzer, Amie M. G. Brady, Carrie Huitger, Rebecca N. Bushon, S. Ip, Michael W. Ware, Eric N. Villegas, Vincent Gallardo, H.D. Alan Lindquist
By
Ecosystems Mission Area, Water Resources Mission Area, National Wildlife Health Center, Ohio-Kentucky-Indiana Water Science Center, Ohio Water Microbiology Laboratory
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