| Title | Web framework for flood risk assessment: elevation services and simplified flood models |
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| Author | McGrath, H |
| Source | GoGeomatics Canada 2015 p. 1  Open Access |
| Links | Online - En ligne
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| Image |  |
| Year | 2015 |
| Alt Series | Earth Sciences Sector, Contribution Series 20150491 |
| Publisher | Go Geomatics Magazine |
| Document | Web site |
| Lang. | English |
| Media | on-line; digital |
| File format | html; pdf |
| Program | Public Safety Geoscience Quantitative risk assessment project |
| Released | 2015 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| Abstract | (unpublished)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 ID | 297851 |
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