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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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On April 25, 2015, a large ( M7.8) earthquake shook much of central Nepal and was followed by a series of M>6 aftershocks, including a M7.3 event on May 12, 2015. This earthquake and aftershocks, referred to as the Gorkha earthquake sequence, caused thousands of fatalities, damaged and destroyed entire villages, and displaced millions of residents. The earthquakes also triggered thousands of landslides in the exceedingly steep topography of Nepal; these landslides were responsible for hundreds of fatalities, and blocked vital roads and trails to affected villages. With the support of the United States Agency for International Development (USAID), Office of Foreign Disaster Assistance (OFDA), and in collaboration...
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for peak ground acceleration with a 2 percent probability of exceedance in 50 years.
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This report provides detailed (1:63,360-scale) mapping of the Tanana B-1 Quadrangle (250 square miles; equivalent to four 7.5 minute quadrangles). The area is part of the Manley Hot Springs-Tofty mining districts and adjacent to the Rampart mining district to the north of the Tanana A-1 and A-2 Quadrangles. This report includes a derivative map of potential geologic hazards based on the resulting geologic maps, field investigations, and laboratory materials analyses.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for Modified Mercalli Intensity with a 50 percent probability of exceedance in 50 years. The maps and data were derived from PGA ground-motion conversions of Worden et al. (2012), and include soil amplification...
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 2 percent probability of exceedance in 50 years.
U.S. Geological Survey - ShakeCast: a ShakeMap Response Automation System ShakeCast is an application that automatically retrieves ShakeMap data and distributes notifications and assessments to key personnel. ShakeMap scenarios can be found sorted by category within the 'Collections' tab.
Categories: Data; Types: Offline Data; Tags: ShakeMap, earthquake, scenarios
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These data were used to train the Machine Learning models supporting the USGS software release "NEIC Machine Learning Applications Software" (https://doi.org/10.5066/P9ICQPUR), and its companion publication in Seismological Research Letters "Leveraging Deep Learning in Global 24/7 Real-Time Earthquake Monitoring at the National Earthquake Information Center" (https://doi.org/XXXXX). These data are formatted as python numpy arrays and readable by the python code used to generate deep-learning models that classify waveform phases, refine automatic pick timings, and estimate source distances. The cataloged picks and associated metadata were obtained from the USGS PDE catalog (https://earthquake.usgs.gov/data/pde.php)....
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This inventory was originally created by Harp and Jibson (1995) describing the landslides triggered by the M 6.7 Northridge, California earthquake that occurred on 17 January 1994 at 12:30:55 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S....
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This inventory was originally created by Lacroix and others (2013) describing the landslides triggered by the M8 Pisco, Peru earthquake that occurred on 2007-08-15 at 23:40:58 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey...
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This inventory was originally created by Huang and Lee (1999) describing the landslides triggered by the M5.7 Jueili, Taiwan earthquake that occurred on 1998-07-17 at 04:51:15 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey...
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This inventory describes the landslides triggered by the M7.0 Sicily, Italy earthquake that occurred on 1908-12-28 at 4:20:26 UTC. The inventory comes from the Italian Catalogue of Earthquake-Induced Ground Effects (Italian acronym CEDIT) by Martino and others (2014), which contains inventories from multiple earthquakes. To obtain the most up to date version of the entire, original catalog along with more details about its compilation, please visit the CEDIT webpage on the website of the Centre for Research (CERI) of the Department of Earth Sciences in the Sapienza University of Rome: http://www.ceri.uniroma1.it/index.php/web-gis/cedit/. Care should be taken when comparing with other inventories because different...
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Peak ground acceleration ground motion values for 50, 10, and 2 percent probability of exceedance in 50 years are converted to equivalent modified Mercalli intensity using the relationships of Worden and others (2012). Values are for NEHRP site class B/C with a VS30 = 760 m/s.
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This data set contains locations and information on faults and associated folds in the United States that are believed to be sources of M>6 earthquakes during the Quaternary (the past 1,600,000 years). On the website, maps of these geologic structures are linked to a database containing detailed descriptions and references. The database is intended to be the USGS?s archive for historic and ancient earthquake sources used in current and future probabilistic seismic-hazard analyses. Our website presents for the first time a single source that summarizes important information on paleoseismic (ancient earthquake) parameters. These data are compiled from thousands of journal articles, maps, theses, and other documents,...
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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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Risk-targeted maximum considered earthquake ground acceleration maps (MCER) are for the design of buildings and other structures. The maps are derived from the USGS seismic hazard maps in accordance with the site-specific ground-motion procedures of the NEHRP Recommended Seismic Provisions for New Building and Other Structures and the ASCE Minimum Design Loads for Buildings and Other Structures (also known as the ASCE 7 Standard; ASCE, 2016). The MCER ground motions are taken as the lesser of probabilistic and deterministic values, as explained in the Provisions. The gridded probabilistic and deterministic values for 0.2-second spectral response acceleration are available here.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 50 percent probability of exceedance in 50 years.
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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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On April 25, 2015, a large ( M7.8) earthquake shook much of central Nepal and was followed by a series of M>6 aftershocks, including a M7.3 event on May 12, 2015. This earthquake and aftershocks, referred to as the Gorkha earthquake sequence, caused thousands of fatalities, damaged and destroyed entire villages, and displaced millions of residents. The earthquakes also triggered thousands of landslides in the exceedingly steep topography of Nepal; these landslides were responsible for hundreds of fatalities, and blocked vital roads and trails to affected villages. With the support of the United States Agency for International Development (USAID), Office of Foreign Disaster Assistance (OFDA), and in collaboration...
map background search result map search result map Quaternary Faults Video data files to accompany USGS OFR 2015-1142--Assessment of existing and potential landslide hazards resulting from the April 25, 2015 Gorkha, Nepal earthquake sequence Video data files to accompany USGS OFR 2015-1142--Assessment of existing and potential landslide hazards resulting from the April 25, 2015 Gorkha, Nepal earthquake sequence: USGS_Nepal_05282015-J Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Western United States Harp and Jibson (1995) 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 Peak ground acceleration with a 2% probability of exceedance in 50 years 0.2-second spectral response acceleration (5% of critical damping) with a 2% probability of exceedance in 50 years 1.0-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years Modified Mercalli Intensity, based on peak ground acceleration, with a 50% probability of exceedance in 50 years Derivative map of potential geologic hazards in the Tanana B-1 Quadrangle, Alaska Huang and Lee (1999) Lacroix and others (2013) Martino and others (2014) - M7.0 Sicily, Italy, 1908 07. Modified Mercalli Intensity maps for the conterminous U.S., Alaska, and Hawaii Huang and Lee (1999) Derivative map of potential geologic hazards in the Tanana B-1 Quadrangle, Alaska Martino and others (2014) - M7.0 Sicily, Italy, 1908 Lacroix and others (2013) Video data files to accompany USGS OFR 2015-1142--Assessment of existing and potential landslide hazards resulting from the April 25, 2015 Gorkha, Nepal earthquake sequence Video data files to accompany USGS OFR 2015-1142--Assessment of existing and potential landslide hazards resulting from the April 25, 2015 Gorkha, Nepal earthquake sequence: USGS_Nepal_05282015-J Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Western United States Quaternary Faults 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 0.2-second spectral response acceleration (5% of critical damping) with a 2% probability of exceedance in 50 years 1.0-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years Peak ground acceleration with a 2% probability of exceedance in 50 years Modified Mercalli Intensity, based on peak ground acceleration, with a 50% probability of exceedance in 50 years 07. Modified Mercalli Intensity maps for the conterminous U.S., Alaska, and Hawaii