Geographer
Email:
jmjones@usgs.gov
Office Phone:
650-439-2635
ORCID:
0000-0001-7549-9270
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This data release is comprised of a set of eight time travel map shapefiles (two tsunami inundation zones and four travel times) for use in GIS software applications and two population exposure by travel time tables (residents and nonresidences) for use in GIS software applications and other standalone spreadsheet applications. The travel time map was generated using the Pedestrian Evacuation Analyst model (version 1.0.1 for ArcGIS 10.5) from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction...
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Our country faces a wide array of natural hazards that threaten its safety, security, economic well-being, and natural resources. To minimize future losses, communities need a clear understanding of how they are vulnerable to natural hazards and of strategies for increasing their resilience. Vulnerability and resilience are influenced by (1) how communities choose to use hazard-prone land, (2) pre-existing socioeconomic conditions, (3) likely future patterns of land change, and (4) current efforts to reduce and manage risks. The objective of this project is to develop new ways of assessing and communicating community vulnerability and resilience to natural hazards. This work supports core elements of the USGS mission...
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Landslide susceptibility maps are essential tools in infrastructure planning, hazard mitigation, and risk reduction. Susceptibility maps trained in one area have been found to be unreliable when applied to different areas (Woodard et al., 2023). This limitation leads to the need for a national map that is higher resolution and rigorous, but simple enough to be applied to diverse terrains and landslide types. The susceptibility maps presented here cover the conterminous United States (CONUS), Alaska (AK), Hawaii (HI), and Puerto Rico (PR) with a resolution of 90-m. Other United States (U.S.) territories were not considered due to insufficient landslide and digital elevation data. We also provide information on the...
Categories: Data;
Tags: GHSC,
Geologic Hazards Science Center,
Geomorphology,
Landslide Hazard Program,
Puerto Rico, All tags...
USGS,
USGS Science Data Catalog (SDC),
United States,
geology,
geoscientificInformation,
gis,
ground failure,
landslide,
landslide hazard,
landslide susceptibility,
landslides, Fewer tags
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Sinkholes present hazards to humans due to subsidence and by focusing contaminated surface water runoff into groundwater. Sinkholes create instability in the foundations of buildings, roads and other infrastructure, resulting in damage and in some cases loss of life, but may also play an important role as vernal pools in some ecosystems. This project created a prototype nationwide subsidence susceptibility map using established USGS research, existing USGS authoritative data (National Elevation Dataset, National Hydrography Dataset), and innovative processing techniques using the USGS Yeti supercomputer. By creating both a national polygon dataset of closed features and a heatmap of regions characterized by dense...
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Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a karst closed depression inventory across the conterminous U.S. using a common methodology. Automated algorithms for extraction of closed depressions from 1/3 arc-second (approximately 10 m resolution) National Elevation Dataset (NED) were run on the U.S. Geological Survey (USGS) “Yeti” high-performance computing cluster....
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