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During the winter of 2016 and the summer of 2018, the U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center collected sediment cores for grain-size analysis in Mississippi and Arkansas. In a farm field adjacent to the Tallahatchie River near Money, Mississippi, 13 continuous sections of approximately 5-cm (2-in) diameter by approximately 1.5-m (5-ft) long sediment cores were extracted to better understand the sediment within the Mississippi River Valley alluvial aquifer. These data were used to support ongoing aquifer testing activities by the U.S. Department of Agriculture’s Agricultural Research Service. Lake Poinsett Dam is an earthen embankment dam located near Harrisburg, AR. In May of 2018, the...
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This dataset contains topographic (horizontal and vertical) data for 20 sites, surveyed November 6 to November 28, 2017 as part of documentation of flooding that occurred in Puerto Rico during and after Hurricane Maria (September to November 2017). Hurricane Maria hit the Island of Puerto Rico on September 20, 2017 and was one of the deadliest storms in U.S. history. USGS personnel conducted topographic surveys at selected stream sites to facilitate hydraulic modeling of peak streamflows (or discharges) – termed indirect measurements – using published standard USGS methods. Indirect (post-flood) measurements are used to characterize flood peaks that could not be determined using direct methods (for example current-velocity...
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 798 monthly water-use rasters for 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
The annual water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain. This dataset contains 19 annual water-use rasters that are totals of 6 different use categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 133 monthly water-use rasters that are totals of 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile. Aquaculture and irrigation water-use estimates are included in this data release in two different formats: georeferenced TIFFs (GeoTIFFs) for simple viewing and geospatial operations and a network common data form (NetCDF) for use in modeling applications and with each month as a separate raster array table.
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates projected future...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change...
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This report describes the thickness and areal extent of the Sparta aquifer, identifies sands within the fresh-water extent of the aquifer, and presents data and a map that illustrate the generalized potentiometric surface (water levels) during October 1996. The report includes a detailed geophysical log, structure contour maps, hydrogeologic sections, and hydrographs of water levels in selected wells. The potentiometric surface-map can be used for determining direction of ground-water flow, hydraulic gradients, and the effects of withdrawals on the aquifer.
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The study of the geohydrology of the Sparta Sand is the initial phase in the investigation of the geohydrology of the Claiborne Group. The thicker sections of the Sparta Sand lie along the axes of the Mississippi embayment and Desha basin. The area of maximum thickness, 1,100-1,200 feet, is in Claiborne and Warren Counties, Miss., and Madison Parish, La. Local thickening or thinning over some structures indicates structural movement during Sparta time. A sand-percentage map prepared from data derived from interpretation of electric logs indicates that the Sparta Sand was deposited as a delta-fluvial plain complex in Arkansas, Louisiana, and Mississippi. This complex shows a text-book example of a well-developed...
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Public-supply water withdrawals in Puerto Rico have been compiled annually since 2014 as part of an ongoing effort between the Puerto Rico Aqueduct and Sewer Authority and the U.S Geological Survey. In 2020, the total amount of public-supply water withdrawn in Puerto Rico was estimated at 602 million gallons per day (Mgal/d) from freshwater sources. Surface-water withdrawals accounted for 537 Mgal/d (89 percent) and groundwater withdrawals accounted for 65 Mgal/d (11 percent). Population served by public-supply water systems accounted for 3.3 million people, almost 100 percent of the total population. Public-supply water withdrawals were tabulated by municipality and by public water system.
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This data release consists of Microsoft Excel workbooks related to a cooperative project between the U.S. Geological Survey (USGS) and the Puerto Rico Aqueduct and Sewer Authority (PRASA) to estimate public-supply water withdrawals for the year 2019. Daily raw-water inflow volume to each PRASA water-treatment plant and water pumped from PRASA public-supply wells on the island in 2019, as well as coordinate information for these facilities were provided by PRASA. The raw data are not publicly available owing to restrictions (sensitivity concern). Contact PRASA directly for more information. Per capita water use derived from domestic-delivery data for 2016 was used to estimate withdrawals from non-PRASA community...
map background search result map search result map Structure Contours of the Base of the Sparta Sand from Plate 3, 1968, from Hydrologic significance of the lithofacies of the Sparta Sand in Arkansas, Louisiana, Mississippi, and Texas (Payne, 1968) Structure Contours from Top of Sparta Aquifer from Figure 2, 1996, from Hydrogeology and Potentiometric Surface of the Sparta Aquifer in Northern Louisiana, October 1996 (Brantly, Seanor, and McCoy, 2002) Annual Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates by Use for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 Money, Mississippi and Lake Poinsett Dam, Arkansas, Grain-Size Analysis Spatial and elevation points surveyed for indirect measurements of peak streamflow associated with flooding of September to November 2017 in Puerto Rico Cowan, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Woodbury, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Estimated public-supply water withdrawals in Puerto Rico, 2019 Table 2. Estimated public-supply water withdrawals by water source and PRASA public water system in Puerto Rico, 2020 Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from downscaled climate datasets considering only the best models and all future emission scenarios evaluated (CFquantiles_2040_to_historical_best_models_allRCPs.xlsx) Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from downscaled climate datasets considering all models, and the RCP4.5 and SSP2-4.5 future emission scenarios (CFquantiles_2070_to_historical_all_models_RCP4.5.xlsx) Spreadsheet of projected future precipitation depths at 242 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the MACA downscaled climate dataset (DDF_MACA_future_2070.xlsx) Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models and all future emission scenarios evaluated (CFquantiles_2040_to_historical_allmodels_allSSPs_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP1-2.6 future emissions scenario scenario(CFquantiles_2040_to_historical_allmodels_SSP1-2.6_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP2-4.5 future emissions scenario scenario(CFquantiles_2040_to_historical_allmodels_SSP2-4.5_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP3-7.0 future emissions scenario scenario(CFquantiles_2040_to_historical_allmodels_SSP3-7.0_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering only the best models, and the SSP5-8.5 future emissions scenario (CFquantiles_2040_to_historical_allmodels_SSP5-8.5_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP1-2.6 future emissions scenario scenario(CFquantiles_2070_to_historical_allmodels_SSP1-2.6_CMIP6.xlsx). Woodbury, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Money, Mississippi and Lake Poinsett Dam, Arkansas, Grain-Size Analysis Estimated public-supply water withdrawals in Puerto Rico, 2019 Table 2. Estimated public-supply water withdrawals by water source and PRASA public water system in Puerto Rico, 2020 Spatial and elevation points surveyed for indirect measurements of peak streamflow associated with flooding of September to November 2017 in Puerto Rico Structure Contours from Top of Sparta Aquifer from Figure 2, 1996, from Hydrogeology and Potentiometric Surface of the Sparta Aquifer in Northern Louisiana, October 1996 (Brantly, Seanor, and McCoy, 2002) Structure Contours of the Base of the Sparta Sand from Plate 3, 1968, from Hydrologic significance of the lithofacies of the Sparta Sand in Arkansas, Louisiana, Mississippi, and Texas (Payne, 1968) Annual Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates by Use for the Mississippi Alluvial Plain, 1999-2017 Monthly Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017 Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from downscaled climate datasets considering only the best models and all future emission scenarios evaluated (CFquantiles_2040_to_historical_best_models_allRCPs.xlsx) Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from downscaled climate datasets considering all models, and the RCP4.5 and SSP2-4.5 future emission scenarios (CFquantiles_2070_to_historical_all_models_RCP4.5.xlsx) Spreadsheet of projected future precipitation depths at 242 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the MACA downscaled climate dataset (DDF_MACA_future_2070.xlsx) Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models and all future emission scenarios evaluated (CFquantiles_2040_to_historical_allmodels_allSSPs_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP1-2.6 future emissions scenario scenario(CFquantiles_2040_to_historical_allmodels_SSP1-2.6_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP2-4.5 future emissions scenario scenario(CFquantiles_2040_to_historical_allmodels_SSP2-4.5_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP3-7.0 future emissions scenario scenario(CFquantiles_2040_to_historical_allmodels_SSP3-7.0_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering only the best models, and the SSP5-8.5 future emissions scenario (CFquantiles_2040_to_historical_allmodels_SSP5-8.5_CMIP6.xlsx). Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering all models, and the SSP1-2.6 future emissions scenario scenario(CFquantiles_2070_to_historical_allmodels_SSP1-2.6_CMIP6.xlsx).