Assessing cyanobacterial frequency and abundance at surface waters near drinking water intakes across the United States.
Megan M Coffer, Blake A Schaeffer, Katherine Foreman, Alex Porteous, Keith A Loftin, Richard P Stumpf, P Jeremy Werdell, Erin Urquhart, Ryan J Albert, John A Darling
Author Information
Megan M Coffer: ORISE Fellow, U.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA; Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, USA. Electronic address: coffer.megan@epa.gov.
Blake A Schaeffer: U.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.
Katherine Foreman: U.S. Environmental Protection Agency, Office of Water, Washington, DC, USA.
Alex Porteous: U.S. Environmental Protection Agency, Office of Water, Washington, DC, USA.
Keith A Loftin: U.S. Geological Survey, Kansas Water Science Center, Lawrence, KS, USA.
Richard P Stumpf: National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, Silver Spring, MD, USA.
P Jeremy Werdell: Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Erin Urquhart: Science Systems and Applications, Inc., Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Ryan J Albert: U.S. Environmental Protection Agency, Office of Water, Washington, DC, USA.
John A Darling: U.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.
This study presents the first large-scale assessment of cyanobacterial frequency and abundance of surface water near drinking water intakes across the United States. Public water systems serve drinking water to nearly 90% of the United States population. Cyanobacteria and their toxins may degrade the quality of finished drinking water and can lead to negative health consequences. Satellite imagery can serve as a cost-effective and consistent monitoring technique for surface cyanobacterial blooms in source waters and can provide drinking water treatment operators information for managing their systems. This study uses satellite imagery from the European Space Agency's Ocean and Land Colour Instrument (OLCI) spanning June 2016 through April 2020. At 300-m spatial resolution, OLCI imagery can be used to monitor cyanobacteria in 685 drinking water sources across 285 lakes in 44 states, referred to here as resolvable drinking water sources. First, a subset of satellite data was compared to a subset of responses (n = 84) submitted as part of the U.S. Environmental Protection Agency's fourth Unregulated Contaminant Monitoring Rule (UCMR 4). These UCMR 4 qualitative responses included visual observations of algal bloom presence and absence near drinking water intakes from March 2018 through November 2019. Overall agreement between satellite imagery and UCMR 4 qualitative responses was 94% with a Kappa coefficient of 0.70. Next, temporal frequency of cyanobacterial blooms at all resolvable drinking water sources was assessed. In 2019, bloom frequency averaged 2% and peaked at 100%, where 100% indicated a bloom was always present at the source waters when satellite imagery was available. Monthly cyanobacterial abundances were used to assess short-term trends across all resolvable drinking water sources and effect size was computed to provide insight on the number of years of data that must be obtained to increase confidence in an observed change. Generally, 2016 through 2020 was an insufficient time period for confidently observing changes at these source waters; on average, a decade of satellite imagery would be required for observed environmental trends to outweigh variability in the data. However, five source waters did demonstrate a sustained short-term trend, with one increasing in cyanobacterial abundance from June 2016 to April 2020 and four decreasing.
