Buckeye Lake at Crystal Beach, OH; Chris Ecker and Carrie Hitger measuring water quality parameters.
Donna Francy (Former Employee)
Science and Products
Using models to estimate microcystin concentrations in Ohio recreational and source waters
Harmful Algae Blooms (HABs)
Ohio Microbiology Program - Home
Biodegradation Of Microcystins In Lake Erie Source Waters And Filters From Drinking-Water Plants
Using New Tools To Better Understand And Predict Harmful Cyanobacterial Algal blooms (HABs) At Ohio Lake Erie And Inland Beaches
Evaluation Of Wastewater Treatments To Reduce Nutrient Transport From Land Application Of Dairy Manure
USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms
Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches
Microcosm experiment data of microcystin-degrading bacteria in Lake Erie source waters and drinking-water plants, 2015-18
Data for multiple linear regression models for estimating Escherichia coli (E. coli) concentrations or the probability of exceeding the bathing-water standard at recreational sites in Ohio and Pennsylvania as part of the Great Lakes NowCast, 2019
Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio
Buckeye Lake at Crystal Beach, OH; Chris Ecker and Carrie Hitger measuring water quality parameters.
As schools close for the year and summer weather beckons, many recreationalists head to the Great Lakes' public beaches. However, these coastal areas can become contaminated with disease-causing bacteria that threaten public health, disrupt water recreation, and pay a toll on the Great Lakes economies that depend on summer tourism.
As schools close for the year and summer weather beckons, many recreationalists head to the Great Lakes' public beaches. However, these coastal areas can become contaminated with disease-causing bacteria that threaten public health, disrupt water recreation, and pay a toll on the Great Lakes economies that depend on summer tourism.
Isolation and identification of microcystin-degrading bacteria in Lake Erie source waters and drinking-water plant sand filters
Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio
Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters
Pilot-scale testing of dairy manure treatments to reduce nutrient transport from land application, northwest Ohio, 2015–17
Real-time assessments of water quality—A nowcast for Escherichia coli and cyanobacterial toxins
Estimating microcystin levels at recreational sites in western Lake Erie and Ohio
Cyanobacterial harmful algal blooms (cyanoHABs) and associated toxins, such as microcystin, are a major global water-quality issue. Water-resource managers need tools to quickly predict when and where toxin-producing cyanoHABs will occur. This could be done by using site-specific models that estimate the potential for elevated toxin concentrations that cause public health concerns. With this study
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 toxin producti
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 measured as s
Reply to “Ranking filter methods for concentrating pathogens in lake water”
Comparing rapid and culture indicator bacteria methods at inland lake beaches
Predictive models for Escherichia coli concentrations at inland lake beaches and relationship of model variables to pathogen detection
Comparison of filters for concentrating microbial indicators and pathogens in lake-water samples
Science and Products
Using models to estimate microcystin concentrations in Ohio recreational and source waters
Harmful Algae Blooms (HABs)
Ohio Microbiology Program - Home
Biodegradation Of Microcystins In Lake Erie Source Waters And Filters From Drinking-Water Plants
Using New Tools To Better Understand And Predict Harmful Cyanobacterial Algal blooms (HABs) At Ohio Lake Erie And Inland Beaches
Evaluation Of Wastewater Treatments To Reduce Nutrient Transport From Land Application Of Dairy Manure
USGS Study Identifies Factors Related to Cyanobacterial Harmful Algal Blooms
Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches
Microcosm experiment data of microcystin-degrading bacteria in Lake Erie source waters and drinking-water plants, 2015-18
Data for multiple linear regression models for estimating Escherichia coli (E. coli) concentrations or the probability of exceeding the bathing-water standard at recreational sites in Ohio and Pennsylvania as part of the Great Lakes NowCast, 2019
Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio
Buckeye Lake at Crystal Beach, OH; Chris Ecker and Carrie Hitger measuring water quality parameters.
Buckeye Lake at Crystal Beach, OH; Chris Ecker and Carrie Hitger measuring water quality parameters.
As schools close for the year and summer weather beckons, many recreationalists head to the Great Lakes' public beaches. However, these coastal areas can become contaminated with disease-causing bacteria that threaten public health, disrupt water recreation, and pay a toll on the Great Lakes economies that depend on summer tourism.
As schools close for the year and summer weather beckons, many recreationalists head to the Great Lakes' public beaches. However, these coastal areas can become contaminated with disease-causing bacteria that threaten public health, disrupt water recreation, and pay a toll on the Great Lakes economies that depend on summer tourism.
Isolation and identification of microcystin-degrading bacteria in Lake Erie source waters and drinking-water plant sand filters
Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio
Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters
Pilot-scale testing of dairy manure treatments to reduce nutrient transport from land application, northwest Ohio, 2015–17
Real-time assessments of water quality—A nowcast for Escherichia coli and cyanobacterial toxins
Estimating microcystin levels at recreational sites in western Lake Erie and Ohio
Cyanobacterial harmful algal blooms (cyanoHABs) and associated toxins, such as microcystin, are a major global water-quality issue. Water-resource managers need tools to quickly predict when and where toxin-producing cyanoHABs will occur. This could be done by using site-specific models that estimate the potential for elevated toxin concentrations that cause public health concerns. With this study
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 toxin producti
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 measured as s