Skip to main content
Advanced Search

Filters: Tags: Landslide (X)

163 results (1.7s)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
This dataset consists of point cloud data collected in 2016 and 2017 of the lower and upper Scenic Drive landslide locations in La Honda, California. Point cloud data were collected in 2016 to establish baseline for movement detection of past landslides. Point cloud data were collected in 2017 adjacent and upslope of 2016 data to document a newly formed landslide. The data were collected with a Riegl VZ400 Terrestrial Laser Scanner and georeferenced using a Leica Viva GS15 survey grade GPS. The data are delivered as georeferenced (NAD83 UTM zone 10N ellipsoid) classified point clouds, 5 cm resolution digital elevation models, and a text file of surveyed GPS control points. The included files are: LH2017_Jan.laz...
thumbnail
The files consist of two types: tabulated data files and graphical map files. Data files consist of six .csv files, representing six experiment dates (2016_06_14, 2016_16_15, 2016_18_15, 2016_16_21, 2016_16_22, 2016_16_23). Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). Map files consist of six .pdf files, each representing an experiment date listed above. The maps show the thickness of the sediment deposited onto the runout pad after each experiment. Sediment thickness was determined using photogrammetery software from Adam Technology.
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
During 2009, the Alaska Division of Geological & Geophysical Surveys continued a program, begun in 2006, of reconnaissance mapping of surficial geology in the proposed natural-gas pipeline corridor through the upper Tanana River valley. The study area is a 12-mi-wide (19.3-km-wide) area that straddles the Alaska Highway from the western boundaries of the Tanacross B-3 and A-3 quadrangles near Tetlin Junction eastward to the eastern boundaries of the Nabesna D-1 and C-1 quadrangles along the Canada border. Mapping during 2008-2009 in the Tanacross and Nabesna quadrangles linked with the mapping completed in the Tanacross, Big Delta and Mt. Hayes quadrangles in 2006-2008. Surficial geology was initially mapped in...
thumbnail
Subaerial landslides at the head of Barry Arm Fjord in southern Alaska could generate tsunamis (if they rapidly failed into the Fjord) and are therefore a potential threat to people, marine interests, and infrastructure throughout the Prince William Sound region. Knowledge of ongoing landslide movement is essential to understanding the threat posed by the landslides. Because of the landslides' remote location, field-based ground monitoring is challenging. Alternatively, periodic acquisition and interferometric processing of satellite-based synthetic aperture radar data provide an accurate means to remotely monitor landslide movement. Interferometric synthetic aperture radar (InSAR) uses two Synthetic Aperture...
thumbnail
Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more precise locations and geometries (2015 - 2017 USGS Lidar DEM: Puerto Rico dataset). The inventory consists of a shapefile of 309 polygons (PR_landslide_inventory_pts.shp) outlining the source area and deposits together. It also includes a point inventory (PR_landslide_inventory_pts.shp) marking 170 individual displaced boulders that...
thumbnail
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...
thumbnail
This inventory describes the landslides triggered by the M6.5 Friuli, Italy earthquake that occurred on 1976-05-06 at 20:00:11 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...
thumbnail
Landslides are damaging and deadly, and they occur in every U.S. state. However, our current ability to understand landslide hazards at the national scale is limited, in part because spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. Landslide inventories are typically collected and maintained by different agencies and institutions, usually within specific jurisdictional boundaries, and often with varied objectives and information attributes or even in disparate formats. The purpose of this data release is to provide an openly accessible, centralized map of existing information on landslide occurrence across the entire U.S. The data release includes digital...
thumbnail
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...
thumbnail
This publication addresses deep-seated landslide susceptibility,debris flow susceptibility, and other geologic hazards in ruralparts of western San Mateo County. The report also estimatespossible costs of investigating and mitigating the landslidehazards. The study area includes the Half Moon Bay 7.5'quadrangle, the Montara Mountain 7.5' quadrangle, and thePescadero/Butano Creeks watershed. Hazard maps were derived byintegrating slope data and previous geologic, landslide and debrisflow mapping. The digital database, which is found athttp://geopubs.wr.usgs.gov/open-file/of00-127includes 43 plotfiles for slope maps, Digital Orthophoto Quadranglemaps, Digital Raster Graphic topographic base maps, geologic maps,deep-seated...
thumbnail
This inventory was originally created by Harp and others (2016) describing the landslides triggered by the M 7.0 Haiti earthquake that occurred on 12 January 2010 at 21:53:10 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...


map background search result map search result map Possible Costs Associated with Investigating and Mitigating SomeGeologic Hazards in Rural Parts of San Mateo County, California 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 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_06012015-A Results of Hydrologic Monitoring of a Landslide-Prone Hillslope in Portland's West Hills, Oregon, 2006-2017 Harp and others (2016) Gorum and others (2014) 2003-08-14 Lefkada, Greece M 6.3 Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon Results of Hydrologic Monitoring on Landslide-prone Coastal Bluffs near Mukilteo, Washington Xu and others (2014) Terrestrial lidar data from the 2017 Upper Scenic Drive Landslide, La Honda, California: classified point cloud and gridded elevation data from 2016-2017 Engineering-geologic map of the Alaska Highway corridor, Tetlin Junction to Canada border, Alaska Tsunami inundation maps of Seward and northern Resurrection Bay, Alaska Tsunami inundation maps of Fox Islands communities, including Dutch Harbor and Akutan, Alaska Martino and others (2014) - M6.5 Friuli, Italy 1976 Landslide Inventories across the United States Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence Interferometric synthetic aperture radar data from 2020 for landslides at Barry Arm Fjord, Alaska Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon Results of Hydrologic Monitoring on Landslide-prone Coastal Bluffs near Mukilteo, Washington Interferometric synthetic aperture radar data from 2020 for landslides at Barry Arm Fjord, Alaska Tsunami inundation maps of Seward and northern Resurrection Bay, Alaska Results of Hydrologic Monitoring of a Landslide-Prone Hillslope in Portland's West Hills, Oregon, 2006-2017 Xu and others (2014) 2003-08-14 Lefkada, Greece M 6.3 Terrestrial lidar data from the 2017 Upper Scenic Drive Landslide, La Honda, California: classified point cloud and gridded elevation data from 2016-2017 Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence Martino and others (2014) - M6.5 Friuli, Italy 1976 Possible Costs Associated with Investigating and Mitigating SomeGeologic Hazards in Rural Parts of San Mateo County, California Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) 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 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_06012015-A Engineering-geologic map of the Alaska Highway corridor, Tetlin Junction to Canada border, Alaska Landslide Inventories across the United States