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TitleWeb framework for flood risk assessment: elevation services and simplified flood models
 
AuthorMcGrath, HORCID logo
SourceGoGeomatics Canada 2015 p. 1 Open Access logo Open Access
LinksOnline - En ligne
Image
Year2015
Alt SeriesEarth Sciences Sector, Contribution Series 20150491
PublisherGo Geomatics Magazine
DocumentWeb site
Lang.English
Mediaon-line; digital
File formathtml; pdf
ProgramPublic Safety Geoscience Quantitative risk assessment project
Released2015 12 05
Abstract(unpublished)
The development of infrastructure and dense urbanization along water courses and the increasing severity of storm events has brought to focus the need for methods for evaluating the potential negative impacts to communities. While many complex computer models exist for flood risk assessment, they are technologically sophisticated and intended, first of all, for use by a small number of technical and scientific expert experts. Research in the GIS group of the Geodesy and Geomatics Engineering (GGE) Department at the University of New Brunswick, in collaboration with Natural Resources Canada, is currently investigating the feasibility of developing a web-based framework which applies simplified models, utilizes web data via open web services and allows non-expert users to simulate flood hazard, visualize risk, and assess uncertainty in the results.
Summary(Plain Language Summary, not published)
The development of infrastructure and dense urbanization along water courses and the increasing severity of storm events has brought to focus the need for methods for evaluating the potential negative impacts to communities. While many complex computer models exist for flood risk assessment, they are technologically sophisticated and intended, first of all, for use by a small number of technical and scientific expert experts. Research in the GIS group of the Geodesy and Geomatics Engineering (GGE) Department at the University of New Brunswick, in collaboration with Natural Resources Canada, is currently investigating the feasibility of developing a web-based framework which applies simplified models, utilizes web data via open web services and allows non-expert users to simulate flood hazard, visualize risk, and assess uncertainty in the results.
GEOSCAN ID297851

 
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