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The purpose of this study is to evaluate tsunami hazard for the community of Seward and northern Resurrection Bay area, Alaska. This report will provide guidance to local emergency managers in tsunami hazard assessment. We used a numerical modeling method to estimate the extent of inundation by tsunami waves generated from earthquake and landslide sources. Our tsunami scenarios included a repeat of the tsunami of the 1964 Great Alaska Earthquake, as well as tsunami waves generated by two hypothetical Yakataga Gap earthquakes in northeastern Gulf of Alaska, hypothetical earthquakes in Prince William Sound and Kodiak asperities of the 1964 rupture, and local underwater landslides in Resurrection Bay. Results of numerical...
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Potential tsunami hazards for the Fox Islands communities of Unalaska/Dutch Harbor and Akutan were evaluated by numerically modeling the extent of inundation from tsunami waves generated by hypothetical earthquake sources and taking into account historical observations. Worst-case hypothetical scenarios are defined by analyzing results of a sensitivity study of the tsunami dynamics related to various slip distributions along the Aleutian megathrust. The worst-case scenarios for Unalaska and Akutan are thought to be thrust earthquakes in the Fox Islands region with magnitudes ranging from Mw 8.8 to Mw 9.1 that have their greatest slip at 30-40 km (18-25 mi) depth. We also consider Tohoku-type ruptures and an outer-rise...
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Staff from Alaska Earthquake Center, Geophysical Institute and Alaska Division of Geological & Geophysical Surveys evaluated potential tsunami hazards for the city of Sand Point, on Popof Island in the Shumagin Islands archipelago. We numerically modeled the extent of inundation from tsunami waves generated by local and distant earthquake sources. We considered the results in light of historical observations. The worst-case scenarios are defined by analyzing results of the sensitivity study of the tsunami dynamics with respect to different slip distributions along the Aleutian megathrust. For the Sand Point area, the worst-case scenarios are thought to be thrust earthquakes in the Shumagin Islands region with magnitudes...
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This dataset contains information and locations on faults and associated folds in Alaska that are believed to be sources of M>6 earthquakes during the Quaternary (the past 1,600,000 years). The dataset is intended to part of the USGS archive for historic and ancient earthquake sources used in current and future probabilistic seismic-hazard analyses. This dataset presents a single source that summarizes important information on paleoseismic (ancient earthquakes) parameters including, age of most recent deformation, slip rate, slip sense dip direction, and accuracy of original mapping. These data are compiled from hundreds of journal articles, maps, theses, and other documents, as referenced herein. The geospatial...
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This inventory was originally created by Gorum and others (2014) describing the landslides triggered by a sequence of earthquakes, with the largest being the M 6.2 17 km N of Puerto Aisen, Chile earthquake that occurred on 21 April 2007 at 23:45:56 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. 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...
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This inventory was originally created by Xu and others (2014) describing the landslides triggered by the M 5.9 Gansu, China earthquake, also known as the Minxian - Zhangxian earthquake, that occurred on 21 July 2013 at 23:45:56 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...
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This inventory was originally created by the Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) describing the landslides triggered by the M 7.7 San Miguel, El Salvador earthquake that occurred on 13 January 2001 at 17:33:32 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...
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This inventory was originally created by Zhao (2021) describing the landslides triggered by the M 7.5 Palu, Indonesia earthquake that occurred on 28 September 2018 at 10:02:45 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 folder contains landslide inventories of the M 6.3 Lefkada, Greece earthquake, which occurred on 2003-08-14 at 05:14:54 UTC. The hypocenter was located at 39.160°N 20.605°E at a depth of 10.0 km. For further information see the link to the full USGS event page for this earthquake under “Related External Resources” below. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from...
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SUMMARY This Data Release contains an updated version of the San Andreas catalog of low-frequency earthquakes (LFEs) originally published here: Shelly, D. R. (2017), A 15 year catalog of more than 1 million low-frequency earthquakes: Tracking tremor and slip along the deep San Andreas Fault, J. Geophys. Res. Solid Earth, 122, 3739–3753, doi:10.1002/2017JB014047. This updated catalog contains 88 LFE families, with each family consisting of events detected by cross-correlation with the associated waveform template. These templates were originally identified and located by Shelly and Hardebeck (2010): Shelly, D. R., and J. L. Hardebeck (2010), Precise tremor source locations and amplitude variations along the...
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The database contains uniformly processed ground motion intensity measurements (peak horizontal ground motions and 5-percent-damped pseudospectral accelerations for oscillator periods 0.1–10 s). The earthquake event set includes more than 3,800 M≥3 earthquakes in Oklahoma and Kansas from January 2009 to December 2016. Ground motion time series were collected out to 500 km. We also relocated the majority of the earthquake hypocenters using a multiple-event relocation algorithm to produce a set of near-uniformly processed hypocentral locations. Details about data processing are reported in the accompanying article. First posted - October 11, 2017 Revised - December 18, 2017, ver. 1.1
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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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Currently, there are many datasets describing landslides caused by individual earthquakes, and global inventories of earthquake-induced landslides (EQIL). However, until recently, there were no datasets that provide a comprehensive description of the impacts of earthquake-induced landslide events. In this data release, we present an up-to-date, comprehensive global database containing all literature-documented earthquake-induced landslide events for the 249-year period from 1772 through August 2021. The database represents an update of the catalog developed by Seal et al. (2020), which summarized events through March 2020 and was based on the catalog developed by Nowicki Jessee et al. (2020). The revised catalog...
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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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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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These data are from a 3-month long deployment of nodal seismometers that ran from December 22th, 2022 until March 1st, 2023 as part of a Distributed Acoustic Sensing (DAS) experiment above the Gorda plate. The deployment was done in response to the 2022/12/20 M6.4 Ferndale earthquake. The sensors were deployed at 46 locations along Old Arcata Rd between Arcata and Eureka California (Figure 1); these locations track the approximate location of the fiber optic cable used as part of the DAS experiment. The instruments have a battery recording life of approximately one month and were swapped out in the same locations in Mid-to-late January, and late February-Early march. Exceptions are that only 29 were deployed for...
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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 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.


map background search result map search result map 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_05302015-C 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_05302015-I 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 A database of instrumentally recorded ground motion intensity measurements from induced earthquakes in Oklahoma and Kansas Gorum and others (2014) 2003-08-14 Lefkada, Greece M 6.3 Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) 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 Xu and others (2014) Quaternary faults and folds in Alaska: A digital database Tsunami inundation maps of Seward and northern Resurrection Bay, Alaska Tsunami inundation maps of Fox Islands communities, including Dutch Harbor and Akutan, Alaska Tsunami inundation maps for the city of Sand Point, Alaska Zhao (2021) February-March 2023 Arcata to Eureka, California, Deployment of Nodal Seismometers An Updated Catalog of Low-Frequency Earthquakes Along the San Andreas Fault Near Parkfield, California Tsunami inundation maps for the city of Sand Point, Alaska Tsunami inundation maps of Seward and northern Resurrection Bay, Alaska Xu and others (2014) 2003-08-14 Lefkada, Greece M 6.3 Gorum and others (2014) An Updated Catalog of Low-Frequency Earthquakes Along the San Andreas Fault Near Parkfield, California Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) February-March 2023 Arcata to Eureka, California, Deployment of Nodal Seismometers A database of instrumentally recorded ground motion intensity measurements from induced earthquakes in Oklahoma and Kansas 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_05302015-C 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_05302015-I 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 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 Quaternary faults and folds in Alaska: A digital database