Bacteria in the Water

The health of our rivers is critical for environmental sustainability, preservation of wildlife, and clean water protection.  River health is determined based on water quality monitoring efforts.  Water quality data are utilized to identify and quantify contamination/impairments, inform protection and management strategies, and verify and evaluate management efforts. 

Bacteria threaten our waterways and pose health risks to swimmers.  Waterborne pathogens (bacteria capable of causing disease in humans) have been known to cause Salmonellosis, Legionnaires’ disease, Dysentery, and other stomach, respiratory, skin, and brain effects.  Bacteria sources may include sewage, urban runoff, agricultural runoff, or industrial waste.  When these bacteria flow into our beaches and rivers they can pose serious health risks.

ecoli-bacteria-ed

Recreational waters are threatened by fecal contamination from urban and agricultural drainage that may contain human pathogens associated with gastrointestinal and respiratory illness.  Many recreational beaches and rivers around the United States are monitored for fecal contamination, which indicates a threat to human health.  According to the Center for Disease Control, the top causes of recreational water illnesses are human pathogens that can be monitored via E. coli sampling.  

Unfortunately, the state of TN performs very little E. coli sampling particularly in our highly recreated rivers (i.e. >500,000 visit the Harpeth River State Parks annually) and none of these sampling efforts are paired with predictive modeling, which provides the general public “early warning” notice if waters may be unsafe to swim based on levels of E. coli. Harpeth Conservancy (HC) strives to mitigate this by implementing a Citizen Water Quality Monitoring Network in TN that will regularly monitor water quality in our rivers.  The initial launch of this program will focus on regular sampling of E. coli at highly recreated sections of the Harpeth River (see below for locations) and pair those data with predictive models that will provide members of the public with “early warning” when levels of E. coli are elevated and likely unsafe to be in contact with. 

Harpeth Conservancy E. coli Modeling Study

The Basics of Predicting E. coli Levels Using a Model

Efforts to monitor recreational waters for fecal contamination have shifted away from culturing pathogen indicator organisms, such as ​E. coli, to developing real-time predictive models. Culturing ​E. coli requires 18 to 24 hours to complete; thus, “do NOT swim advisories” are based on previous day measurements– this traditional approach under-performs compared to predictive models. Predictive models, such as a multiple linear regression analysis can utilize a variety of water quality and environmental parameters to correlate elevated levels of E. coli with certain environmental conditions (see graphic to right). 

E. coli values (x-axis) can be predicted based on a variety of weather, water quality, or environmental data (y-axis). This relationship can then be used to predict E. coli levels on a given day before a water sample even needs to be collected.

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