This data release contains spatial data associated with the sedimentation survey of Lago Guayabal conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center (CFWSC) of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field data collection involved measuring water depth along predetermined navigation lines. More than 270,000 water-depth points were surveyed along 60 navigation lines and All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS software, version 10.5 (Environmental Systems Research Institute, 2017), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. This data release includes three spatial features used for the sedimentation analysis of Lago Guayabal in 2017 (water depth data points, reservoir shoreline and bathymetric contours).

This dataset is a point shapefile containing water-depth points collected during a sedimention survey of Lago Guayabal conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. More than 270,000 water-depth points were surveyed along 60 navigation lines used in previous sedimentation surveys (Soler-Lopez, 2003, 2007, 2008). All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS software, version 10.5 (Environmental Systems Research Institute, 2017), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated.

This dataset is a polygon shapefile containing reservoir boundary of Lago Guayabal, and represents the contour at the spillway elevation. This polygon was used to constraint the extent of the Triangulated irregular network (TIN) model and ultimately, to generate contours from bathymetric data collected during a sedimentation survey conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López (2008) and Wilson and Richards (2006). More than 270,000 water-depth points were surveyed along 60 navigation lines used in previous sedimentation surveys (Soler-López, 2003, 2008). All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated . References: Soler-López, L.R., 2003, Sedimentation History of Lago Guayabal, Puerto Rico, 1913-2001: U.S. Geological Survey Water-Resources Investigations Report 03-4198, 28 p, 2 pls. Soler-López, L.R., 2008, Comparison of Storage Capacity and Sedimentation Trends of Lago Guayabal, Puerto Rico, December 2001 and October 2006: U.S. Geological Survey Scientific Investigation Map 2008-3016, 1 sheet Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p. plus oversize figs,https://pubs.usgs.gov/sir/2006/5208/pdf/SIR-06-5208.pdf.

This data release contains spatial data associated with the bathymetric survey and sedimentation analysis of Lago Carite in January 2018. During January 23–30, 2018, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Carite primarily to update estimates of the contemporary reservoir storage capacity and sedimentation rate. Previously designated transect lines were surveyed by using a depth sounder coupled to a differential geographic positioning system to generate a bottom contour map and, ultimately, the stage-storage relation for Lago Carite. This data release consisted of three items: bathymetric contours, water-depth data points and the shoreline of Lago Carite used for the analysis. A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a differential Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated.

This dataset is a polyline shapefile containing bathymetric contours, at 1-meter intervals, of Lago Guayabal, Villalba, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López (2008) and Wilson and Richards (2006). More than 270,000 water-depth points were surveyed along 60 navigation lines used in previous sedimentation surveys (Soler-López, 2003, 2008). All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated . References: Soler-López, L.R., 2003, Sedimentation History of Lago Guayabal, Puerto Rico, 1913-2001: U.S. Geological Survey Water-Resources Investigations Report 03-4198, 28 p, 2 pls. Soler-López, L.R., 2008, Comparison of Storage Capacity and Sedimentation Trends of Lago Guayabal, Puerto Rico, December 2001 and October 2006: U.S. Geological Survey Scientific Investigation Map 2008-3016, 1 sheet Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p. plus oversize figs,https://pubs.usgs.gov/sir/2006/5208/pdf/SIR-06-5208.pdf.

This dataset is a polygon shapefile containing the reservoir shoreline for the sedimentation survey of Lago Carite, Puerto Rico.This polygon was used to constraint the extent of the Triangulated irregular network (TIN) model and ultimately, to generate contours from bathymetric data collected during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006). A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. References: Soler-López, L.R., and Carrasquillo-Nieves, L.R., 2001, Sedimentation survey of Lago Carite, Puerto Rico, October 1999: U.S. Geological Survey Water-Resources Investigations Report 00–4235, Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p.

This dataset is a point shapefile containing water-depth points collected during a sedimentation survey of Lago Carite, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period January 23 - January 30, 2018 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López and Carrasquillo-Nieves, (2001) and Wilson and Richards (2006). A total of 137 planned transect lines were surveyed, and over 269,119 water-depth measurements were made across the reservoir. All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Differential Global Positioning System (DGPS). Esri ArcGIS, version 10.5 (reference similar to that in metadata for point shapefile), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. References: Soler-López, L.R., and Carrasquillo-Nieves, L.R., 2001, Sedimentation survey of Lago Carite, Puerto Rico, October 1999: U.S. Geological Survey Water-Resources Investigations Report 00–4235, Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Map and Area/Capacity Tables for Small Reservoirs, U.S. Geological Survey-Scientific Investigation Report 2006-5208, 24 p.

The U.S. Geological Survey conducted a sedimentation survey of Lago La Plata, Toa Alta, Puerto Rico, during March and April 2015 to provide up-to-date information about the relation of pool elevation and storage volume in the reservoir. The survey was conducted in cooperation with the Puerto Rico Aqueduct and Sewer Authority. A total of 264 navigation lines were surveyed, using a depth sounding device coupled to a global positioning system. The results of the survey were used to prepare a bathymetric map showing the reservoir bottom referenced with respect to the spillway elevation.

The U.S. Geological Survey conducted a sedimentation survey of Lago Lucchetti, Yauco, Puerto Rico, in 2013–14 in cooperation with the Puerto Rico Aqueduct and Sewer Authority. This dataset contains the bathymetric data points collected in this survey. This survey updated previous surveys, conducted in 2000, and provided accurate information regarding reservoir storage capacity and sedimentation rate using bathymetric techniques, coupling global positioning system and a depth sounder device.

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.