Crain, A.S., Boldt, J.A., Young, J.L., Thomason, J.C., Wolf, Z.L., Bayless, E.R., and Bunch, A.R., 2019, Water-Quality Datasets from Synoptic Surveys in Nolin River Lake, Kentucky, using an Autonomous Underwater Vehicle, Discrete Sampling, and Depth Profiles, August 2016: U.S. Geological Survey data release, https://doi.org/10.5066/F798857D.
Summary
The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers—Louisville District conducted a pilot study on the use of an autonomous underwater vehicle (AUV) for a survey of water conditions during August 2016 in a portion of Nolin River Lake, Kentucky. The AUV was equipped with sensors for the continuous collection of water-quality measurements for dissolved oxygen, pH, specific conductance, temperature, turbidity, total chlorophyll, and blue-green algae concentrations. In addition to the AUV survey, algae-related samples were collected at various points in the study area of the lake and along depth profiles. This digital dataset contains the phytoplankton community data.
Summary
The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers—Louisville District conducted a pilot study on the use of an autonomous underwater vehicle (AUV) for a survey of water conditions during August 2016 in a portion of Nolin River Lake, Kentucky. The AUV was equipped with sensors for the continuous collection of water-quality measurements for dissolved oxygen, pH, specific conductance, temperature, turbidity, total chlorophyll, and blue-green algae concentrations. In addition to the AUV survey, algae-related samples were collected at various points in the study area of the lake and along depth profiles. This digital dataset contains the phytoplankton community data.
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Type: Citation
Crain, A.S., Boldt, J.A., Bayless, E.R., Bunch, A.R., Young, J.L., Thomason, J.C., and Wolf, Z.L., 2019, Potential interaction of groundwater and surface water including autonomous underwater vehicle reconnaissance at Nolin River Lake, Kentucky, 2016: U.S. Geological Survey Scientific Investigations Report 2019–5075, 36 p., https://doi.org/10.3133/sir20195075.
These data were collected to assess the efficacy of using an AUV as a reconnaissance tool to (1) better understand the spatial and depth-related distribution of water-quality field parameters, (2) determine if these data could potentially be useful in conjunction with discrete nutrient and algae-related data in assessing water-quality conditions, and (3) explore the viability of the AUV being used to identify any interaction between surface water and groundwater. These data are published in support of the USGS Scientific-Investigations Report 2019-5075 (https://doi.org/10.3133/sir20195075).
