Filters: Types: OGC WFS Layer (X) > Types: Map Service (X) > Categories: Data (X) > Types: Downloadable (X) > partyWithName: Natural Hazards (X) > Types: OGC WMS Layer (X) > partyWithName: U.S. Geological Survey (X) > partyWithName: Geologic Hazards Science Center (X)
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A model of the lower seismogenic depth distribution of earthquakes in the western United States was developed to support models for seismic hazard assessment that will be included in the 2023 USGS National Seismic Hazard Model. This data release presents a recalibration using the hypocentral depths of events M>1 from the Advanced National Seismic System Comprehensive Earthquake Catalog from 1980 to 2021. For higher precision and better resolution in the model, the data were supplemented with seismicity from southern California that was relocated by Hauksson and others (2012). Along the San Andreas Fault, the deepest seismogenic depths are located at 23 km around the Cholame segment, whereas the shallowest depths...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Geophysics,
Seismology,
USGS Science Data Catalog (SDC),
United States,
earthquake occurrences,
Summary This data release contains postprocessed model output from a simulation of hypothetical rapid motion of landslides, subsequent wave generation, and wave propagation. A simulated displacement wave was generated by rapid motion of unstable material into Barry Arm fjord. We consider the wave propagation in Harriman Fjord and Barry Arm, western Prince William Sound (area of interest and place names depicted in Figure 1). We consider only the largest wave-generating scenario presented by Barnhart and others (2021a, 2021b). As in Barnhart and others (2021c), we used a simulation setup similar to Barnhart and others (2021a, 2021b), but our results differ because we used different topography and bathymetry datasets....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster,
Shapefile;
Tags: Alaska,
Barry Arm,
D-Claw,
Geomorphology,
Marine Geology,
This database contains geometries and basic parameters for fault sections conisdered in earthquake rupture forecasts and probabilistic seismic hazard models (specifically, NSHM23).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado Plateau,
New Mexico,
Rio Grande Rift,
active faulting,
seismic hazard
This dataset contains simplified fault traces, derived from the lineament mapping, for the Pit River region, northeastern California.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Northeastern California,
fault
This data release contains extent shapefiles for 16 hypothetical slope failure scenarios for a landslide complex at Barry Arm, western Prince William Sound, Alaska. The landslide is likely active due to debuttressing from the retreat of Barry Glacier (Dai and others, 2020) and sits above Barry Arm, posing a tsunami risk in the event of slope failure (Barnhart and others, 2021). Since discovery of the landslide by a citizen scientist in 2020, kinematic structural elements have been mapped (Coe and others, 2020) and ground-based and satellite synthetic aperture radar (SAR) have been used to track ongoing movement at a high spatial resolution (Schaefer and others, 2020; Schaefer and others, 2022). These efforts have...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
D-Claw,
Geomorphology,
Marine Geology,
Prince William Sound,
A key input for probabilistic seismic hazard analysis (PSHA) is geologic slip rate data. Here, we compile all geologic slip rates that are reportedly used in U.S. National Seismic Hazard Map (NSHM) releases from 1996, 2002, 2007, 2008, and 2014. Although a new NSHM was released in 2018, no changes were made in geologic slip rate data used. The geologic slip rates are collated from existing NSHM reports and documentation, and no new data are reported herein. The geologic slip rates are coupled with the fault geometries used in NSHM2014/2018 calculations. The data are presented spatially as a shapefile (SHP), in keyhole markup language (KML) and geoJSON. A readme file accompanies this dataset explaining details of...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Arizona,
California,
Colorado,
Geomorphology,
This database consists of geologic slip rate information and metadata used to constrain NSHM23 geodetic and geologic deformation models.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado Plateau,
New Mexico,
Rio Grande Rift
On May 25th, 2014, a 54.5 Mm3 rock avalanche occurred in the West Salt Creek valley in western Colorado following heavy rainfall on top of snow (Coe and others, 2016a). The data in this project includes boulder density in 20-m x 20-m grid cells for the entire West Salt Creek rock avalanche deposit. The grid cells cover 2,154,800 m2, which accounts for nearly the entire surface of the deposit. We estimated boulder density by counting 1-m or larger diameter boulders of sedimentary rock that are visible in high-resolution Unmanned Aircraft System (UAS) imagery collected for the area in July of 2014 (Coe and others, 2016b). Basalt boulders were excluded from the count because field observations indicated that they generally...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Geomorphology,
Geomorphology,
Landslide Hazards,
Landslides,
Mesa County, Colorado,
Summary This data release contains postprocessed model output from simulations of hypothetical rapid motion of landslides, subsequent wave generation, and wave propagation. A modeled tsunami wave was generated by rapid motion of unstable material into Barry Arm Fjord. This wave propagated through Prince William Sound and then into Passage Canal east of Whittier. Here we consider only the largest wave-generating scenario presented by Barnhart and others (2021a, 2021b) and use a simulation setup similar to that work. The results presented here are not identical to those presented in Barnhart and others (2021a, 2021b) because the results in this data release were obtained using an expanded dataset of topography and...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Alaska,
Barry Arm,
D-Claw,
Geomorphology,
Marine Geology,
The U.S. National Seismic Hazard Model (NSHM) relies on deformation models to assign slip rates along active faults used in the earthquake rupture forecast. Here, we present the geologic deformation model results in tabular form. We provide model outputs in multiple file formats, as well as the polygons used in analyses throughout the geologic deformation model process.The data presented herein are in support of the following interprative manuscript: Hatem, A.E., Reitman, N.G., Briggs, R.W., Gold, R.D., Thompson Jobe, J.A., Burgette, R.J., (2022) Western U.S. geologic deformation model for use in the U.S. National Seismic Hazard Model 2023, Seismological Research Letters.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
California,
Colorado,
Geomorphology,
Idaho,
This dataset contains linework of lineaments mapped on 4 <1-m-resolution lidar datasets and the 10-m-resolution National Elevation Dataset digital elevation models in the Pit River region of northeastern California. Lineaments are classified by confidence in tectonic origin, map certainty, and the ages of the bedrock and surficial deposits they cross.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Northeastern California,
fault
Global positioning system (GPS) data were compiled and processed to support models for seismic hazard assessment that will be included in the 2023 USGS National Seismic Hazard Model (NSHM). This data release presents the updated GPS velocity field for the western United States. Data processing centers and field networks, seven in total, supported this work, and solutions include both survey and continuous-mode GPS velocity measurements. Processing procedures were followed according to the UCERF3 (Uniform California Earthquake Rupture Forecast version 3) and the 2014 NSHM deformation modeling project. The final velocity field consists of 4,979 horizontal velocity vectors.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Geophysics,
Seismology,
USGS Science Data Catalog (SDC),
United States,
earthquake occurrences,
This dataset provides lineaments remotely observed and interpreted on 1-m lidar data in northern New Mexico. Several types of lineaments were mapped, including scarps, vegetation contrasts, vegetation lineaments, tonal contrasts, tonal lineaments, and topographic lineaments. Some of these lineaments are interpreted to be Quaternary active faults whereas others are interpreted as older bedrock faults.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado Plateau,
New Mexico,
Rio Grande Rift,
active faulting,
seismic hazard
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