Institute: South Dakota
Year Established: 2019 Start Date: 2019-06-01 End Date: 2020-05-31
Total Federal Funds: $24,127 Total Non-Federal Funds: $48,254
Principal Investigators: Rachel McDaniel
Abstract: South Dakota lakes are a public good, providing opportunities for recreational enjoyment including swimming, boating, and fishing. However, algal blooms impact the condition of these lakes, resulting in issues ranging from the aesthetic to fish kills to toxic conditions for recreators, thus reducing or eliminating this recreational enjoyment and potentially creating a health hazard. Algal blooms are a common occurrence in South Dakota lakes with algae growth being the second highest cause for impairments, impacting over 25,000 acres. The goal of this project is to use remotely sensed data to evaluate algal blooms in South Dakotaâ€™s lakes and identify variables to assist in the prediction of their occurrence. This will be achieved by identifying algal bloom occurrences using satellite imagery, assessing the spatial and temporal trends in algal blooms, and identifying significant predictive variables to assess algal bloom risk. Existing data, including three sources of satellite imagery and historical chlorophyll-a data, will be used along with GIS software to evaluate algal blooms. A better understanding of algal bloom characteristics (e.g. timing, extent, intensity, etc.) and prediction of blooms via site specific characteristics (e.g. temperature, rainfall, surrounding land use, etc.) could provide recreators with advanced warning if water quality in the lake is likely to deteriorate due to algal blooms as well as identify potential contributors to algal blooms which can be targeted as a means of water quality improvement.