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These data sets are the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. They represent the chance of experiencing potentially damaging ground shaking 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 Western United States.
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Gridded, uniform-hazard data for 2%, 5%, and 10% probability of exceedance in 50 years were extracted from the hazard curves for all twenty-three ground-motion intensity measures and all eight soil site classes. The ground-motion intensity measures, including PGA, PGV, and spectral accelerations for 0.01, 0.02, 0.03, 0.05, 0.075, 0.1, 0.15, 0.2, 0.25, 0.3, 0.4, 0.5, 0.75, 1, 1.5, 2, 3, 4, 5, 7.5 and 10 second, and the soil site classes include VS30 = 1500, 1080, 760, 530, 365, 260, 185, and 150 m/sec, representing NEHRP site classes A/B, B, B/C, C, C/D, D, D/E, and E.
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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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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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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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This data set contains maps and shapefiles of uniform-hazard ground motion values calculated for a grid of points with a spacing of 0.2° in latitude and longitude over the conterminous U.S and Alaska, and 0.02° over Hawaii, using the 2023 National Seismic Hazard Model. 2%, 5% and 10% in 50-year probability of exceedance values are shown for peak ground acceleration (PGA), and 0.2, 1, and 5 second spectral acceleration for VS30 = 760 and 260 m/s, representing the National Earthquake Hazards Reduction Program site conditions B/C and D, respectively.
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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.
Between October 12, 2019 and December 13, 2019, the U.S. Geological Survey deployed 30 nodal seismometers in Humboldt county CA for the purpose of recording seismicity in the subducting Gorda plate. 20 instruments were deployed at the McBride ranch, around NCSN station KCT, and 10 were deployed at the Bureau of Land Management’s Lost Coast Headlands property. The nodes were replaced in mid-November after one month of recording due to battery life.
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We evaluate potential tsunami hazards for the city of Valdez and numerically model the extent of inundation from tsunamis generated by earthquake and landslide sources. Tsunami scenarios include a repeat of the tsunami triggered by the 1964 Great Alaska Earthquake, as well as hypothetical tsunamis generated by an extended 1964 rupture, a Cascadia megathrust earthquake, and earthquakes from the Prince William Sound and Kodiak asperities of the 1964 rupture. Local underwater landslide events in Port Valdez are also considered as credible tsunamigenic scenarios. Results of numerical modeling are verified by simulating the tectonic and landslide-generated tsunamis in Port Valdez observed during the 1964 earthquake....
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This inventory was originally created by Gorum and others (2011) describing the landslides triggered by the M 7.9 Wenchuan, China earthquake that occurred on 12 May 2008 at 06:28:01 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...
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This inventory was originally created by Basharat and others (2016) describing the landslides triggered by the M 7.6 Kashmir, Pakistan earthquake that occurred on 8 October 2005 at 03:50:40 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...
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This inventory describes the landslides triggered by the M5.6 Southern Italy earthquake that occurred on 1998-09-09 at 11:27:59 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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This inventory was originally created by Yagi and others (2009) describing the landslides triggered by the M6.9 Mid Niigata earthquake that occurred on 2008-06-13 at 23:43:45 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 Rymer (1987) describing the landslides triggered by the M 5.7 San Salvador, El Salvador earthquake that occurred on 10 October 1986 at 17:49:24 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...
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This web site is provided by the United States Geological Survey's (USGS) Earthquake Hazards Program as part of our effort to reduce earthquake hazard in the United States. We are part of the USGS Geologic Discipline and are the USGS component of the congressionally established, multi-agency National Earthquake Hazards Reduction Program (NEHRP). The USGS participates in the NEHRP with the Federal Emergency Management Agency (FEMA), the National Institute of Standards and Technology (NIST), and the National Science Foundation (NSF). In the 2004 reauthorization of NEHRP by Congress, NIST has been given the lead role to plan and coordinate this national effort to mitigate earthquake losses by developing and applying...
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This inventory was originally created by Garcia-Delgado and others (2019) describing the landslides triggered by the M 5.7 Mesetas, Columbia earthquake that occurred on 24 December 2019 at 19:19:03 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...
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This inventory was originally created by Okuyama and others (2013) describing the landslides triggered by the M 9.1 Tohoku-Oki, Japan earthquake that occurred on 2011-03-11 at 05:46:24 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...


map background search result map search result map USGS Earthquakes Hazards Program, Yellowstone Region 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 Gorum and others (2011) Rymer (1987) Basharat and others (2016) 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 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 1.0-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years Tsunami inundation maps of Port Valdez, Alaska Chance of potentially minor-damage ground shaking in 2018 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Western United States Yagi and others (2007) Martino and others (2014) - M5.6 Southern Italy, 1998 02. Gridded uniform-hazard ground motion data Nodal Seismic Deployment at KCT and Lost Coast Headlands Garcia-Delgado and others (2021) Okuyama and others (2013) 04. Uniform-hazard ground motion maps for the conterminous U.S., Alaska, and Hawaii Yagi and others (2007) Nodal Seismic Deployment at KCT and Lost Coast Headlands Rymer (1987) Tsunami inundation maps of Port Valdez, Alaska Okuyama and others (2013) Martino and others (2014) - M5.6 Southern Italy, 1998 Garcia-Delgado and others (2021) USGS Earthquakes Hazards Program, Yellowstone Region Gorum and others (2011) 02. Gridded uniform-hazard ground motion data 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 potentially minor-damage ground shaking in 2018 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 peak ground acceleration 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 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 1.0-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years 04. Uniform-hazard ground motion maps for the conterminous U.S., Alaska, and Hawaii