Using predicted chlorophyll-a and cyanobacteria concentrations in surface waters to characterize harmful algal bloom impacts on US drinking water quality
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The first part of the presentation describes how EPA's national nutrient inventory, StreamCat, National Lake Assessment, and other datasets were used to predict chlorophyll-a and cyanobacteria abundance across the conterminous U.S. The second part of the presentation shows how the chlorophyll-a and cyanobacteria predictions were associated with drinking water data from EPA's Safe Drinking Water Information System (SDWIS) to calculate where drinking water systems are most at risk from harmful algal blooms (HABs) in their source waters. Risk was calculated using a weighted summation approach with data on lake risk (lake morphology, chl-a, temperature, nutrients, etc.), drinking water system risk (treatment technology, deficiencies, etc.), and exposure risk (population served, health-based violations, etc.). Risk for HABs were generally found to be in areas with high agricultural nutrient inputs. This risk analysis can help determine potential sources of risk and be used for prioritizing locations and public water systems that may need further resources to protect human health.