Kevin D Henry
Kevin Henry is a geographer with the USGS Western Geographic Science Center and is located at the USGS California Water Science Center in Sacramento, California.
Kevin Henry researches risk and vulnerability to natural hazards, using geographic information systems, agent-based modeling, and advanced data visualization techniques. His recent work involves visualizing hazard exposure and vulnerability analyses through emerging interactive web mapping frameworks. He also researches community vulnerability through modeling vehicular evacuation from tsunamis using agent-based simulation. The work aims to identify strategies to improve a community's capacity to evacuate, to inform emergency management practices.
Science and Products
Filter Total Items: 17
Community Exposure to Future Coastal Hazards for Georgia, USA Community Exposure to Future Coastal Hazards for Georgia, USA
The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of Georgia, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure...
Community Exposure to Future Coastal Hazards for Florida, USA Community Exposure to Future Coastal Hazards for Florida, USA
Socioeconomic impact estimates of community exposure to future coastal hazards are presented for communities along the coast of U.S. Florida. The provided data were generated using the Hazard Exposure Reporting and Analytics (HERA) web application (www.usgs.gov/apps/hera/). HERA uses geospatial analysis of socioeconomic indicators (population, economic, land cover, and infrastructure) in
Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of North Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and...
Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of South Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data...
Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020 Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of Washington, USA. The type of information includes U.S. Census data on the number and types of residents, Data-Axle data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data on...
Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source
To further extend the scope of the Science Application for Risk Reduction (SAFRR) project, detailed hydrodynamic simulations were run at three harbor locations in California. For the locations of 1) Oakland/Alameda, 2) Half Moon Bay, and 3) Santa Cruz, simulations at approximately 5-m resolution were performed using the high-order Boussinesq-type model COULWAVE. The Oakland/Richmond...
Influence of road network and population demand assumptions in evacuation modeling for distant tsunamis Influence of road network and population demand assumptions in evacuation modeling for distant tsunamis
Tsunami evacuation planning in coastal communities is typically focused on local events where at-risk individuals must move on foot in a matter of minutes to safety. Less attention has been placed on distant tsunamis, where evacuations unfold over several hours, are often dominated by vehicle use and are managed by public safety officials. Traditional traffic simulation models focus on...
Authors
Kevin Henry, Nathan J. Wood, Tim G. Frazier
Science and Products
Filter Total Items: 17
Community Exposure to Future Coastal Hazards for Georgia, USA Community Exposure to Future Coastal Hazards for Georgia, USA
The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of Georgia, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure...
Community Exposure to Future Coastal Hazards for Florida, USA Community Exposure to Future Coastal Hazards for Florida, USA
Socioeconomic impact estimates of community exposure to future coastal hazards are presented for communities along the coast of U.S. Florida. The provided data were generated using the Hazard Exposure Reporting and Analytics (HERA) web application (www.usgs.gov/apps/hera/). HERA uses geospatial analysis of socioeconomic indicators (population, economic, land cover, and infrastructure) in
Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of North Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and...
Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of South Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data...
Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020 Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of Washington, USA. The type of information includes U.S. Census data on the number and types of residents, Data-Axle data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data on...
Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source
To further extend the scope of the Science Application for Risk Reduction (SAFRR) project, detailed hydrodynamic simulations were run at three harbor locations in California. For the locations of 1) Oakland/Alameda, 2) Half Moon Bay, and 3) Santa Cruz, simulations at approximately 5-m resolution were performed using the high-order Boussinesq-type model COULWAVE. The Oakland/Richmond...
Influence of road network and population demand assumptions in evacuation modeling for distant tsunamis Influence of road network and population demand assumptions in evacuation modeling for distant tsunamis
Tsunami evacuation planning in coastal communities is typically focused on local events where at-risk individuals must move on foot in a matter of minutes to safety. Less attention has been placed on distant tsunamis, where evacuations unfold over several hours, are often dominated by vehicle use and are managed by public safety officials. Traditional traffic simulation models focus on...
Authors
Kevin Henry, Nathan J. Wood, Tim G. Frazier