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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...
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This U.S. Geological Survey (USGS) data release consists of a point shapefile with the location of the sites used in a sampling program to assess the water quality at selected wells throughout Puerto Rico. The sampling was conducted by the U.S. Geological Survey (USGS) in cooperation with the Puerto Rico Environmental Quality Board (PREQB) during December 2015 to November 2016.
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. Geospatial data provided in an ArcGIS shapefile are described herein. The shapefile contains polygons...
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A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between January and December 2020 was compiled for Alachua, Baker, Bradford, Columbia, Dixie, Gilchrist, Hamilton, Jefferson, Lafayette, Levy, Madison, Suwannee, Taylor, and Union Counties, Florida. These counties are fully or partially within the Suwannee River Water Management District boundaries. Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.
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A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between January and December 2020 was compiled for Lake, Marion, and Orange Counties, Florida. Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.
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This child item contains the spatial data associated with the bathymetric survey of the Levittown lake, conducted on January 11, 2011. The child item consist of two datasets: 1) contours of the lake bottom and 2) data points colleced along each established navigation line, to calculate the water volume of the lake at mean sea level. A bathymetric/land survey system (BLASS) interfaced to a depth sounder was used to conduct the survey. The system consists of a Global Positioning System (GPS) and a digital depth sounder. Geographic location and water depth data were simultaneously collected and stored in a portable computer. The data were then transferred into the USGS geographic information system (GIS) for processing...
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This data set consists of a detailed digital map of the areal extent of fields and a summary of the irrigated acreage for the 2018 growing season developed for Hillsborough County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.
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Annual actual evapotranspiration (ETa) rates in 55 basins in Florida and parts of Alabama and Georgia were evaluated for 2000-17 using the Operational Simplified Surface Energy Balance (SSEBop) model at about a one-square kilometer resolution (Sepúlveda, 2021). SSEBop ETa rates were bias corrected using ETa rates computed from weather observations at 24 micrometeorological evapotranspiration flux (MEF) stations (mETa), stratified by land-use type. Uncorrected and bias-corrected SSEBop ETa rates were evaluated by comparison with independent estimates based on a crop-coefficient method for generalized land-use types (luETa) and a water-balance method for each basin (wbETa). This metadata file summarizes a GIS shapefile...
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This data set consists of a detailed digital map of the areal extent of fields and a summary of the irrigated acreage for the 2018 growing season developed for Charlotte County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.
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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...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. An areal reduction factor (ARF) is computed to convert rainfall statistics of a point, such as at a weather...
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This data set consists of a detailed digital map of the extent of fields and a summary of the irrigated acreage for the period between January and December 2019 compiled for Citrus, Hernando, Pasco, and Sumter Counties, Florida. Attributes for each field include a general or specific crop type, irrigation system, and primary water source.
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This data set consists of a detailed digital map of the areal extent of fields and a summary of the irrigated acreage for the 2018 growing season developed for Lee County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.
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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...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. The SFWMD manages the water resources of various interconnected areas in south Florida, which are defined...
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A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between November 2022 and June 2023 was compiled for the full county extents of Brevard, Clay, Duval, Flagler, Indian River, Nassau, Osceola, Putnam, Seminole, St. Johns, and Volusia Counties, Florida. These eleven counties are fully or partially within the St. Johns River Water Management District (SJRWMD). Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.
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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,...
The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. Geospatial data provided in an ArcGIS shapefile are described herein. The shapefile shows the locations...
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The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed a hydrologic and hydraulic analysis to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago El Guineo Dam. The Lago El Guineo Dam is within the headwaters of the Río Grande de Manatí and impounds a drainage area of about 4.25 square kilometers. This geospatial dataset in shapefile format, Guineo 24hr_100yr.shp, contains the maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, under a 24-hour 100-year recurrence rainfall event.
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This dataset is a polyline shapefile containing bathymetric contours, at 1-meter intervals, 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...


map background search result map search result map Maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, Orocovis, Puerto Rico, under a 24-hour 100-year recurrence rainfall event- polygon shapefile Shapefile of sampling sites for the assessment of groundwater quality at selected wells throughout Puerto Rico, December 2015 to November 2016 GIS shapefile: Charlotte County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile: Lee County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile: Hillsborough County, Florida irrigated agricultural land-use for the 2018 growing season Bathymetric contours of Lago Guayabal, Puerto Rico, December 2017 Data points, corresponding to the bathymetric survey of Lago Guayabal, Puerto Rico, December 2017 GIS shapefile: Citrus, Hernando, Pasco, and Sumter Counties, Florida irrigated agricultural land-use from January through December 2019 Reservoir boundary for the sedimentation survey of Lago Guayabal, December 2017 Bathymetric contours of Lago Carite, Puerto Rico, January 2018 Reservoir shoreline for the bathymetric survey of Lago Carite, Puerto Rico, January 2018 Bathymetric survey of Levittown Lake, Toa Baja, Puerto Rico, January 2011 GIS shapefile: Actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model GIS Shapefile of Irrigated Agricultural Acreage for Lake, Marion, and Orange Counties, Florida in 2020 GIS shapefile of Irrigated Agricultural Acreage within the Suwannee River Water Management District in 2020 Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Shapefile of NOAA Atlas 14 stations in central and south Florida (Atlas14_stations.shp) Shapefile of SFWMD basins as defined in their ArcHydro Enhanced Database (AHED) (AHED_basins.shp) GIS Shapefile of Irrigated Agricultural Acreage for 11 complete counties fully or partially within the St. Johns River Water Management District, 2022–23 Bathymetric survey of Levittown Lake, Toa Baja, Puerto Rico, January 2011 Bathymetric contours of Lago Guayabal, Puerto Rico, December 2017 Data points, corresponding to the bathymetric survey of Lago Guayabal, Puerto Rico, December 2017 Bathymetric contours of Lago Carite, Puerto Rico, January 2018 Reservoir shoreline for the bathymetric survey of Lago Carite, Puerto Rico, January 2018 Reservoir boundary for the sedimentation survey of Lago Guayabal, December 2017 Maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, Orocovis, Puerto Rico, under a 24-hour 100-year recurrence rainfall event- polygon shapefile GIS shapefile: Charlotte County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile: Lee County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile: Hillsborough County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile: Citrus, Hernando, Pasco, and Sumter Counties, Florida irrigated agricultural land-use from January through December 2019 Shapefile of sampling sites for the assessment of groundwater quality at selected wells throughout Puerto Rico, December 2015 to November 2016 GIS Shapefile of Irrigated Agricultural Acreage for Lake, Marion, and Orange Counties, Florida in 2020 GIS shapefile of Irrigated Agricultural Acreage within the Suwannee River Water Management District in 2020 GIS Shapefile of Irrigated Agricultural Acreage for 11 complete counties fully or partially within the St. Johns River Water Management District, 2022–23 Shapefile of SFWMD basins as defined in their ArcHydro Enhanced Database (AHED) (AHED_basins.shp) Shapefile of NOAA Atlas 14 stations in central and south Florida (Atlas14_stations.shp) Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) Shapefile of climate regions for the state of Florida (Climate_regions.shp) GIS shapefile: Actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model