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This raster depicts the percentage of lithological the hydraulic conductivity (in micrometers per second) of surface or near surface geology. We derived these rasters by calculating the average conductivity for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater...
This workbook summarizes geophysical data for each lithology contained within the USGS Preliminary Integrated Geologic Map Databases for the United States (Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272). The summarized geophysical data contained in the “Lith Summary” spreadsheet (tab) is used to translate lithologies in state geologic maps into maps of continuous physical characteristics (see Geochemical and Geophysical Characteristics of the Conterminous United States, http://dx.doi.org/10.5066/F7X0653P). Full details of the data are provided in the “ReadMe” spreadsheet at the beginning of the workbook.
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This raster depicts the percentage of lithological the compressive strength, measured as uniaxial compressive strength (in megaPascals, MPa) of surface or near surface geology. We derived these rasters by calculating the average strength for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map...
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Time series electromagnetic-induction log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic-induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument Co., Inc.,...
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The salinity of groundwater at the Florida Power & Light Company (FPL) Turkey Point Nuclear Plant in southeastern Florida is being evaluated. The power plant contains a large cooling canal system with warm water; which has salinities elevated above typical, natural surface water in southeastern Florida, circulating within the canals in the uppermost part the highly permeable karst carbonate Biscayne aquifer. The canal system is a closed system that does not discharge directly to fresh or marine surface water bodies. However, exchange between the canal system and groundwater has been postulated based on existing hydrologic information. A pilot study was conducted to determine if Continuous resistivity profiles could...
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Time series electromagnetic induction-log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument Co., Inc., 2002)....
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Time series electromagnetic induction-log (TSEMIL) datasets are collected from PVC cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument Co., Inc., 2002)....


    map background search result map search result map Geophysical Characteristics of the Conterminous United States: Uniaxial Compressive Strength (MPa) Geophysical Characteristics of the Conterminous United States: Hydraulic Conductivity (µm/s) Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2014 Water Year in South Florida Raw Data from Continuous Resistivity Profiles Collected May 24-25, and July 28, 2011 in Biscayne Bay and a Cooling Canal System, Miami-Dade County, Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2015 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2016 Water Year in South Florida Raw Data from Continuous Resistivity Profiles Collected May 24-25, and July 28, 2011 in Biscayne Bay and a Cooling Canal System, Miami-Dade County, Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2014 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2015 Water Year in South Florida Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2016 Water Year in South Florida Geophysical Characteristics of the Conterminous United States: Uniaxial Compressive Strength (MPa) Geophysical Characteristics of the Conterminous United States: Hydraulic Conductivity (µm/s)