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TitleDisaster Scenarios to Guide Decisions in Emergency and Land-use Risk Reduction
 
AuthorHastings, NORCID logo; Journeay, J M; Nastev, MORCID logo; Prieto, J; Struik, L C; Wagner, C; Chow, W; Wojtarowicz, M; Ulmi, M
SourceCanadian Risk and Hazards Network 9th Annual Symposium abstracts; 2012 p. 19
Image
Year2012
Alt SeriesEarth Sciences Sector, Contribution Series 20120430
Meeting9th Canadian Risk and Hazards Network Symposium; Vancouver; CA; October 24-26, 2012
Documentbook
Lang.English
Mediapaper
Subjectsengineering geology; land use
ProgramPublic Safety Geoscience Quantitative risk assessment
Released2012 01 01
AbstractWe explore the creation and use of realistic model earthquake, flood and hurricane disaster scenarios for disaster risk reduction in the fields of managing emergencies and landuse. The scenarios are derived using the Hazus-MH loss estimation tool created by the US Federal Emergency Management Agency (FEMA) in conjunction with other tools and methods. Natural Resources Canada (NRCan) and collaborative partners through a formal agreement with FEMA are adapting and sharing the Hazus methodology and outreach for Canada. These tools are based on state of the art scientific and engineering knowledge and provide robust and standardized methods for estimating disaster extent from measures of the losses of physical assets, lives, and related social, economic and environmental consequences. Understanding potential disaster consequences is key to satisfying many existing requirements in land-use and emergency management. It is the fundamental to understanding disaster risk. Methods are being tested and evaluated through targeted case studies in several Canadian provinces. We show two ways to integrate disaster scenario knowledge into existing planning and emergency management tools.
Summary(Plain Language Summary, not published)
Poster showed how results from the disaster loss-estimation software tool Hazus can be visualized in an emergency management and in a land-use planner software application.
GEOSCAN ID292321

 
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