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Early warning system to detect algal blooms being launched by EPA 9/4/2015
The U.S. Environmental Protection Agency (EPA) announced that it is developing an early warning indicator system using historical and current satellite data to detect algal blooms. EPA researchers will develop a mobile app to inform water quality managers of changes in water quality using satellite data on cyanobacteria algal blooms from three partnering agencies-- NASA, NOAA, and the U.S. Geological Survey.
 
The multi-agency project will create a reliable, standard method for identifying cyanobacteria blooms in U.S. freshwater lakes and reservoirs using ocean color satellite data. Several satellite data sets will be evaluated against environmental data collected from these water bodies, which allows for more frequent observations over broader areas than can be achieved by taking traditional water samples.
 
Under certain environmental conditions, algae naturally present in marine and fresh waters rapidly multiply to create a bloom. Some species of algae called cyanobacteria produce toxins that can kill wildlife and domestic animals and cause illness in humans through exposure to contaminated freshwater and the consumption of contaminated drinking water, fish or shellfish. The annual cost of U.S. freshwater degraded by harmful algal blooms is estimated to be $64 million in additional drinking water treatment, loss of recreational water usage, and decline in waterfront real estate values.
 
“EPA researchers are developing important scientific tools to help local communities respond quickly and efficiently to real-time water quality issues and protect drinking water for their residents,” said EPA Administrator Gina McCarthy. “Working with other federal agencies, we are leveraging our scientific expertise, technology and data to create a mobile app to help water quality managers make important decisions to reduce negative impacts related to harmful algal blooms, which have been increasingly affecting our water bodies due to climate change.”
 
 
PHOTO CREDIT: Shutterstock.
 
 
 
 
 
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