Metadata for this geodatabase describe datasets included in the bathymetric study completed for Lago Patillas in August 2019. The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, carried out a bathymetric survey to update stage-volume table for Lago Patillas and to generate a bathymetric map. Water-depth data were collected using a bathymetric data collection system coupling a digital depth sounder (single-beam fathometer) and a high-quality antenna. Raw water-depth data collected in August 2019 were referenced to the water-surface elevation at the time of the reservoir survey and were merged with light detection and ranging (lidar) cloud data collected in 2016-17. The dataset included in this geodatabase consists of the following: (1) data points (XYZ) collected in the 2019 bathymetric survey through a fathometer and graduated hand-held rod measurements; (2) 2016-17 lidar-cloud data; (3) boundary of Lago Patillas at an elevation of 67.55 meters above the Puerto Rico Vertical Datum of 2002; (4) a digital terrain model created from data stored in the geodatabase; and, (5) a stage-volume table calculated at 1.0-meter stage intervals from the terrain model.
Citation Information
Publication Year | 2021 |
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Title | Spatial and bathymetric data for Lago Patillas, Puerto Rico, August 2019 |
DOI | 10.5066/P9Y2SCY1 |
Authors | Julieta Gomez-Fragoso, Manuel Rosario |
Product Type | Data Release |
Record Source | USGS Digital Object Identifier Catalog |
USGS Organization | Caribbean-Florida Water Science Center |
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Bathymetric survey and sedimentation analysis of Lago Patillas, Puerto Rico, August 2019
In August 2019, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Patillas to update stage-volume data in order to determine the sediment infill rates and to generate a bathymetry map. Water-depth data were collected along predefined lines using single-beam depth sounder and Differential Global Positioning System techno - Connect