HAZUS-MH (Hazard United States – Multi-Hazard)

HAZUS-MH (Hazard United States – Multi Hazard), first released in 1997, uses a standardized methodology to estimate physical, economic and social impacts of disasters from earthquakes, floods, hurricanes and high winds.

HazardHAZUSphysicaleconomicsocialdisastersearthquakesfloodshurricaneshigh winds
  325

Contributor

contributed at 2019-07-11

Authorship

Affiliation:  
United States Federal Emergency Management Agency
Homepage:  
View
Is authorship not correct? Feed back

Classification(s)

Application-focused categoriesIntegrated-perspectiveRegional scale

Model Description

English {{currentDetailLanguage}} English

Quoted from: https://www.fema.gov/hazus

Hazus is a nationally applicable standardized methodology that contains models for estimating potential losses from earthquakes, floods, and hurricanes. Hazus uses Geographic Information Systems (GIS) technology to estimate physical, economic, and social impacts of disasters. It graphically illustrates the limits of identified high-risk locations due to earthquakehurricaneflood, and tsunami. Users can then visualize the spatial relationships between populations and other more permanently fixed geographic assets or resources for the specific hazard being modeled, a crucial function in the pre-disaster planning process.

Hazus is used for mitigation and recovery, as well as preparedness and response. Government planners, GIS specialists, and emergency managers use Hazus to determine losses and the most beneficial mitigation approaches to take to minimize them. Hazus can be used in the assessment step in the mitigation planning process, which is the foundation for a community's long-term strategy to reduce disaster losses and break the cycle of disaster damage, reconstruction, and repeated damage. Being ready will aid in recovery after a natural disaster.

Potential loss estimates analyzed in Hazus include:

  • Physical damage to residential and commercial buildings, schools, critical facilities, and infrastructure;
  • Economic loss, including lost jobs, business interruptions, repair, and reconstruction costs; 
  • Social impacts, including estimates of shelter requirements, displaced households, and population exposed to scenario floods, earthquakes, and hurricanes, and tsunamis

As the number of Hazus users continues to increase, so do the types of uses. Increasingly, Hazus is being used by states and communities in support of risk assessments that perform economic loss scenarios for certain natural hazards and rapid needs assessments during hurricane response. Other communities are using Hazus to increase hazard awareness.

Quoted from: http://www.appsolutelydigital.com/ModelPrimer/chapter1_section1.html

HAZUS-MH (Hazard United States – Multi Hazard), first released in 1997, uses a standardized methodology to estimate physical, economic and social impacts of disasters from earthquakes, floods, hurricanes and high winds. Specifically, HAZUS-MH estimates impacts by overlaying the spatial locations of potential hazards with structures, population, vehicles, utilities, etc., in ArcGIS. HAZUS-MH, as part of its vulnerability assessment, creates relationships using hydrology, hydraulic, and economic data to create relationships between annual exceedance probability and peak discharge, discharge and stage, and stage and damage. The program has been applied in flood mitigation, policy- making, planning or zoning, emergency planning and response, and to estimate sectoral economic impacts. The key feature of the HAZUS-MH software is an extension to ArcGIS that allows for pre-processing and visualization of outputs. HAZUS allows for three levels of analysis (basic to advanced) depending on data availability.

Advantages

  • Compare and analyze various alternatives
  • Calculate economic and societal impacts
  • Calculate hurricane, earthquake, and wind damages
  • Developed technical and user manual
  • Proof of concept demonstrates international use
  • Estimate debris volume
  • Technical support provided virtually or via an in- person training class
  • Determines if lifeline facility will be impacted
  • Determines flooding impact from coastal or riverine systems or both

Limitations

  • Hydraulic analysis within model is based on Manning’s Equation; doesn’t account for backwater effect
  • Program data and maps developed for US; international maps and databases will have to be developed
  • Inability to estimate loss of life
  • Requires broad range of disciplines
  • No accounting for uncertainty
  • Not applicable for flash floods

 

 

Model Metadata

Name {{metadata.overview.name}}
Version {{metadata.overview.version}}
Model Type {{metadata.overview.modelType}}
Model Domain
{{domain}}
Sacle {{metadata.overview.scale}}

There is no overview about this model. You can click to add overview.

Purpose {{metadata.design.purpose}}
Principles
{{principle}}
Incorporated Models
{{incorporatedModel}}
Model part of larger framework: {{metadata.design.framework}}
Incorporated Models
{{process}}

There is no design info about this model. You can click to add overview.

Information {{metadata.usage.information}}
Initialization {{metadata.usage.initialization}}
Hardware Requirements {{metadata.usage.hardware}}
Software Requirements {{metadata.usage.software}}
Inputs
{{input}}
Outputs
{{output}}

There is no usage info about this model. You can click to add overview.

How to Cite

US FEMA (2019). HAZUS-MH (Hazard United States – Multi-Hazard), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/9cb1a6b2-e1ad-450a-9bbf-fa276bfdcb92
Copy

QR Code

Contributor(s)

Initial contribute: 2019-07-11

Authorship

Affiliation:  
United States Federal Emergency Management Agency
Homepage:  
View
Is authorship not correct? Feedback

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}









You can link related {{typeName}} from repository to this model item, or you can create a new {{typeName.toLowerCase()}}.

Related Items
Related Items

You can link resource from repository to this model item, or you can create a new {{typeName.toLowerCase()}}.

Drop the file here, orclick to upload.
Select From My Space
+ add

These authorship information will be submitted to the contributor to review.

Cancel Submit
Model Classifications
Cancel Submit
Localizations + Add
{{ item.label }} {{ item.value }}
Model Name :
Cancel Submit
Name:
Version:
Model Type:
Model Domain:
Scale:
Purpose:
Principles:
Incorporated models:

Model part of

larger framework

Process:
Information:
Initialization:
Hardware Requirements:
Software Requirements:
Inputs:
Outputs:
Cancel Submit
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
Cancel Submit
Add Cancel

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
Cancel Confirm