The HAZUS-MH Data Extractor is a tool for extracting data from HAZUS-MH data sources. HAZUS-MH is a tool developed by the Federal Emergency Management Agency (FEMA) and the National Institute of Building Sciences (NIBS) for estimating potential damages and losses associated with specific natural hazard events.The HAZUS-MH Data Extractor as well as the HAZUS-MH was designed to work with ESRI’s ArcGIS Desktop, Version 9.2, mapping software.
PHAZUS-MH data, both native and derived, are generally reported and viewed from within HAZUS-MH itself, but there are limited options available in HAZUS-MH for extrapolating that data for subsequent use in other applications. In certain instances, HAZUS-MH will permit data pertaining to a single attribute to be extracted at a time, but this method of extraction is neither efficient nor convenient, particularly when the extraction of multiple attributes is desired. Furthermore, HAZUS-MH’s complex data architecture, which is comprised of literally hundreds of database objects, makes attempts to manually extract data from those sources often frustratingly difficult and time-consuming.
The HAZUS-MH Data Extractor was developed with the intention of easing the burden of extracting data from HAZUS-MH databases. The current version of the tool supports the extraction of data related to two types of hazards modeled by HAZUS-MH – earthquakes and floods. The data available for extraction include general building stock inventory, general building stock damages and related economic losses, social impact, and induced damages. Extracted data can be saved to either a new or existing ESRI geo-database file.
The tool provides a filter mechanism by which criteria can be specified to narrow the search for records based on any combination of state, county, census unit, occupancy type, and/or building type. Selection criteria can also be refined using options associated with either hazard type. For example, for a flood hazard, the extraction of debris data can be constrained by the degree to which a census area is affected or by the extent to which the population in the census area is impacted. Similarly, for an earthquake hazard, casualty data can be constrained by time of day or by location.