HAZUS-MH Model (HAZUS Multi-Hazard Model)
Criterion | Explanation |
General Description | Developed by FEMA, the model is a risk assessment software package built on GIS technology. HAZUS- MH can model multiple types of hazards including: flooding, hurricanes, coastal surges, tsunamis, and earthquakes. Estimates physical damage, economic losses, and social impacts. |
Model Domain | https://msc.fema.gov/portal/resources/hazus |
Developer | FEMA |
Hardware computing requirements | Release 4.2 requires users to have ArcGIS 10.5.1 licenses. ArcGIS Spatial Analyst extension is required for the Flood Model.
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Code language | Python, ArcGIS tool extension. |
Original application | First edition released by FEMA in 1997. |
Public/proprietary and cost | Free & Publically Available |
Physically or empirically based | Empirical |
Mathematical methods used | Benefit Cost Analysis |
Input data requirements | Data built-into the downloaded model scripts.
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Outputs |
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Pre-processing and post-processing tools | ArcMap 10.5.1 |
Representation of uncertainty | None Specified |
Prevalence | Used for mitigation and recovery, as well as preparedness and response. Government planners, GIS specialists, and emergency managers use HAZUS-MH across the nation to determine losses and the most beneficial mitigation approaches to take to minimize them. Often used in the assessment step in the mitigation planning process. |
Ease of use for public entities | Easy to use if user is knowledgeable with ArcGIS |
Ease of obtaining information and availability of technical support | Technical Guide Available through FEMA. Training opportunities and conferences available for users. HAZUS User Group provides additional support and information. Technical support contacts available on website. |
Source code availability | N/A |
Status of model development | Mature, HAZUS 4.2 released May 2018. Development continuing. |
Challenges for integration | HAZUZ-MH should always be considered a work in progress; as such, the absolute value estimates should be interpreted with care. Spatial outputs are at the state level, but can be post estimated to lower geographies (county, city) by the user. |