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Water quality and optical absorbance data for journal article entitled, "The removal kinetics of dissolved organic matter and the optical clarity of groundwater" by Francis H. Chapelle, Yuan Shen, Eric W. Strom, and Ronald Benner. Hydrogeology Journal. In Press.
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The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,...
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This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the chance of experiencing damaging earthquakes for fixed ground shaking levels that corresponds with MMI = VI. The values are obtained by averaging the probability of experiencing MMI = VI based on a peak ground acceleration value of 0.1155 g for site class D, and the probability of experiencing MMI = VI based on 1.0-second spectral acceleration value of 0.102 g for site class D. The data are for the Central and Eastern United States and are based on the one-year model.
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This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 1 percent probability of exceedance in 1 year. The data are for the Central and Eastern United States and are based on the one-year model.
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The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,...
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The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing, authoritative source catalogs. Seismicity statistics are analyzed to develop recurrence...
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This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 1 percent probability of exceedance in 1 year. The data are for the Central and Eastern United States and are based on the one-year model.
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This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the average Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year. Using a topographic-based soil classification method, the ground motions are amplified for soil type. The MMI values are the average of the MMI values obtained by converting peak ground acceleration to MMI and 1.0-second spectral response acceleration to MMI. The data are for the Central and Eastern United States and are based on the one-year model.
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Values represent groundwater withdrawals from the Floridan aquifer system for 2000 in the southeastern United States. Withdrawals were computed by multiplying the gross groundwater withdrawals for each county by a coefficient representing the proportion of total groundwater withdrawals coming from each aquifer. Coefficients for each county and water-use category were back-calculated from data published in Marella and Berndt, 2005, Water withdrawals and trends from the Floridan aquifer system in the southeastern United States, 1950–2000: U.S. Geological Survey Circular 1278, 20 p. and also from unpublished data from the U.S. Geological Survey South Atlantic Water Science Center (Georgia District).
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This data release contains four data files that were used to evaluate the conditions during which erosion occurred and the magnitude of erosional events. A single shapefile contains shoreline positions for five sites measured during the beginning and end of the project and projected shoreline positions based on the observed erosion rates. There are three .csv files that contain measured erosion pin data, photo-electric erosion pin data, and acoustic energy and water level data.
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Values represent mean groundwater withdrawals from the Floridan aquifer system for the period 1995–2010 normalized by county area in square miles. Withdrawal intensity provides a better basis for comparison of withdrawals between counties, whose sizes differ by an order of magnitude.
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Values represent mean groundwater withdrawals for irrigation from the Floridan aquifer system for the period 1995–2010 normalized by county area in square miles. Withdrawal intensity provides a better basis for comparison of withdrawals between counties, whose sizes differ by an order of magnitude.
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Values represent mean groundwater withdrawals from the Floridan aquifer system for the period 1995–2010 in the southeastern United States. Mean withdrawals were computed by multiplying the gross groundwater withdrawals for each county by a coefficient representing the proportion of total groundwater withdrawals coming from each aquifer. Coefficients for each county and water-use category were back-calculated from data published in Marella and Berndt, 2005, Water withdrawals and trends from the Floridan aquifer system in the southeastern United States, 1950–2000: U.S. Geological Survey Circular 1278, 20 p. and also from unpublished data from the U.S. Geological Survey South Atlantic Water Science Center (Georgia...
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The stream segments available here are for seven applications of the Precipitation Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin (ACFB) by LaFontaine and others (2017). Geographic Information System (GIS) files for the stream segments in each of the seven model applications (whole ACFB, Chestatee River, Chipola River, Ichawaynochaway Creek, Potato Creek, Spring Creek, and Upper Chattahoochee River) are provided as shapefiles with attributes identifying the numbering convention used in the PRMS models of the ACFB.
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The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,...
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Values represent groundwater withdrawals from the Floridan aquifer system for 2005 in the southeastern United States. Withdrawals were computed by multiplying the gross groundwater withdrawals for each county by a coefficient representing the proportion of total groundwater withdrawals coming from each aquifer. Coefficients for each county and water-use category were back-calculated from data published in Marella and Berndt, 2005, Water withdrawals and trends from the Floridan aquifer system in the southeastern United States, 1950–2000: U.S. Geological Survey Circular 1278, 20 p. and also from unpublished data from the U.S. Geological Survey South Atlantic Water Science Center (Georgia District).
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The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. This data set is the declustered seismicity catalog for the Central and Eastern United States short-term hazard model that contains both natural and induced earthquakes.
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The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,...


map background search result map search result map Water quality and optical absorbance data for groundwater samples collected during 2010 to 2012 from select Principal Aquifers of the United States Geospatial, continuous, and point measure data for a spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011–2013: Table 1: Mean groundwater withdrawals from the Floridan aquifer system by county, 1995–2010 Table 5: Groundwater withdrawals from the Floridan aquifer system by county, 2005 Table 7: Intensity of mean groundwater withdrawals from the Floridan aquifer system by county, 1995–2010 Table 8: Intensity of mean groundwater withdrawals for irrigation from the Floridan aquifer system by county, 1995–2010 Table 4: Groundwater withdrawals from the Floridan aquifer system by county, 2000 Chance of damage from an earthquake in 2017 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Central and Eastern United States Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States 1.0-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States 0.2-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States Declustered Seismicity catalog used in the 2017 one-year seismic hazard forecast for the Central and Eastern United States from induced and natural earthquakes Stream Segments Used with the Precipitation Runoff Modeling System for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S. Stream Segments Used with the Precipitation Runoff Modeling System for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S. Table 1: Mean groundwater withdrawals from the Floridan aquifer system by county, 1995–2010 Table 5: Groundwater withdrawals from the Floridan aquifer system by county, 2005 Table 7: Intensity of mean groundwater withdrawals from the Floridan aquifer system by county, 1995–2010 Table 8: Intensity of mean groundwater withdrawals for irrigation from the Floridan aquifer system by county, 1995–2010 Table 4: Groundwater withdrawals from the Floridan aquifer system by county, 2000 Water quality and optical absorbance data for groundwater samples collected during 2010 to 2012 from select Principal Aquifers of the United States Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States Declustered Seismicity catalog used in the 2017 one-year seismic hazard forecast for the Central and Eastern United States from induced and natural earthquakes 1.0-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States 0.2-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States Chance of damage from an earthquake in 2017 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Central and Eastern United States