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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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The USGS Colorado Water Science Center, in cooperation with the Colorado Water Conservation Board, collected hydraulic data for the South Platte River for areas adjacent to Fort Morgan, Colo., based on the USGS streamgage 06759500 South Platte River at Fort Morgan, CO. The hydraulic data include survey point data for 54 cross sections and 10 pressure transducers, which are used to record the river stage beginning at Morgan County Road 16 and extending downstream to Morgan County Road 20.5 near Fort Morgan, Colo. The cross-section and pressure transducer location data were collected using real-time kinematic Global Navigation Satellite Systems by USGS personnel from February 15, 2017, through April 18, 2017. These...
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The West Hills of Portland, in the southern Tualatin Mountains, trend northwest along the west side of Portland, Oregon. These silt-mantled mountains receive significant wet-season precipitation and are prone to sliding during wet conditions, occasionally resulting in significant property damage or casualties. In an effort to develop a baseline for interpretive analysis of the groundwater response to rainfall, an automated monitoring system was installed in 2006 to measure rainfall, pore-water pressure, soil suction, soil-water potential, and volumetric water content at 15-minute intervals. The data show a cyclical pattern of groundwater and moisture content levels—wet from October to May and dry between June and...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A hydrologic monitoring network was installed to investigate landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between Seattle and Everett, near Mukilteo, Washington. During the summer of 2015, the U.S. Geological Survey installed instrumentation at four sites to measure rainfall and air temperature every 15 minutes. Two of the four sites are installed on contrasting coastal bluffs, one landslide scarred and one vegetated. At these two sites, in addition to rainfall and air temperature, volumetric water content, pore pressure, soil suction, soil temperature (via hydrologic instrumentation), and barometric pressure were measured every 15 minutes. The instrumentation was designed...
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The USGS Colorado Water Science Center, in cooperation with the Colorado Water Conservation Board, collected hydraulic data for the South Platte River for areas adjacent to Fort Morgan, Colo., based on the USGS streamgage 06759500 South Platte River at Fort Morgan, CO. The hydraulic data include survey point data for 54 cross sections and 10 pressure transducers, which are used to record the river stage beginning at Morgan County Road 16 and extending downstream to Morgan County Road 20.5 near Fort Morgan, Colo. The cross-section and pressure transducer location data were collected using real-time kinematic Global Navigation Satellite Systems by USGS personnel from February 15, 2017, through April 18, 2017. These...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...


map background search result map search result map Modified Mercalli Intensity based on peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States Modified Mercalli Intensity based on peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Western United States Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year for the Western 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 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 Western United States Chance of damage from an earthquake in 2016 based on peak ground acceleration for the Western United States Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Western United States Chance of damage from an earthquake in 2016 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Western United States Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Central and Eastern United States Results of Hydrologic Monitoring of a Landslide-Prone Hillslope in Portland's West Hills, Oregon, 2006-2017 Results of Hydrologic Monitoring on Landslide-prone Coastal Bluffs near Mukilteo, Washington Cross-Section Data of the South Platte River near Fort Morgan, Colorado, 2017 Pressure Transducer Location Data of the South Platte River near Fort Morgan, Colorado, 2017 USGS 1:100000-scale Quadrangle for Hazard, KY 1977 USGS 1:24000-scale Quadrangle for Hazard, NE 1951 USGS 1:24000-scale Quadrangle for Hazard, NE 1951 USGS 1:125000-scale Quadrangle for Hazard, KY 1891 USGS 1:125000-scale Quadrangle for Hazard, KY 1891 USGS 1:125000-scale Quadrangle for Hazard, KY 1891 Results of Hydrologic Monitoring on Landslide-prone Coastal Bluffs near Mukilteo, Washington Cross-Section Data of the South Platte River near Fort Morgan, Colorado, 2017 Pressure Transducer Location Data of the South Platte River near Fort Morgan, Colorado, 2017 Results of Hydrologic Monitoring of a Landslide-Prone Hillslope in Portland's West Hills, Oregon, 2006-2017 USGS 1:24000-scale Quadrangle for Hazard, NE 1951 USGS 1:24000-scale Quadrangle for Hazard, NE 1951 USGS 1:125000-scale Quadrangle for Hazard, KY 1891 USGS 1:125000-scale Quadrangle for Hazard, KY 1891 USGS 1:125000-scale Quadrangle for Hazard, KY 1891 USGS 1:100000-scale Quadrangle for Hazard, KY 1977 Modified Mercalli Intensity based on peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Western United States Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year for the Western 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 Western United States Chance of damage from an earthquake in 2016 based on peak ground acceleration for the Western United States Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Western United States Chance of damage from an earthquake in 2016 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Western United States Modified Mercalli Intensity based on peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year 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 Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Central and Eastern United States