Authors: Jordan Burns*, Risk Analysis Lead, NiyamIt, Inc., Doug Bausch, Risk Analytics Program Manager, NiyamIT, Inc., Nikolay Todorov, Senior Developer, NiyamIT, Inc.
Topics: Hazards, Risks, and Disasters, Geographic Information Science and Systems, Planning Geography
Keywords: natural hazards, risk analysis, risk assessment, flood risk, building footprints, Open Source, Google plus codes
Session Type: Guided Poster
Start / End Time: 9:55 AM / 11:35 AM
Room: Roosevelt 3.5, Marriott, Exhibition Level
Presentation File: No File Uploaded
Hazus is a freely available natural hazard loss estimation software managed and distributed by the Federal Emergency Management Agency (FEMA) and developed as an ArcGIS Desktop extension. FEMA is transitioning Hazus to an Open Source, web-based risk assessment platform called OpenHazus, where risk modeling experts, researchers, and mitigation planners can find analytical tools, data, and maps to help drive risk reduction across the U.S. Part of the OpenHazus initiative aims to generate a nationwide structure-level inventory dataset complete with unique identifiers and the attributes required to perform probabilistic flood risk analysis using Microsoft building outlines and Google plus codes. This nationwide structure database will dramatically increase the accuracy of basic, cost-effective risk assessments in communities across the U.S. and support the development of a national baseline flood risk analysis to drive actionable resilience measures. As a first step toward accomplishing this goal, the Hazus program developed a structure-level flood risk database for Minot, North Dakota complete with unique identifiers from Google plus codes, building outlines from Microsoft and risk-related attributes assigned based on Census and regulatory data. Each structure in the Minot database also contains complete probabilistic flood risk metrics created by the FEMA Engineering Services Division for a citywide risk study delivered in 2018. The final structure-level flood risk database for Minot represents a groundbreaking prototype in flood hazard analysis that will serve as a model for the nationwide structure-level risk assessment inventory developed for OpenHazus in 2019.