Title | Flood inundation maps using reduced complexity models |
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Author | McGrath, H ;
Stefanakis, E; Nastev, M |
Source | 22nd Canadian Hydrotechnical Conference, proceedings/22e Conférence canadienne d'hydrotechnique, comptes rendus; 2015 p. 1-4 |
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Year | 2015 |
Alt Series | Natural Resources Canada, Contribution Series 20180283 |
Publisher | Canadian Society of Civil Engineers |
Meeting | 22nd Canadian Hydrotechnical Conference; Montreal, QC; CA; April 29-May 2, 2015 |
Document | book |
Lang. | English |
Media | digital |
File format | pdf |
Subjects | hydrogeology; Nature and Environment; Science and Technology; Health and Safety; floods; models; mapping techniques; hydrologic environment; Methodology |
Illustrations | schematic representations; 3-D models; flow diagrams |
Program | Public Safety Geoscience Quantitative risk assessment project |
Released | 2015 04 01 |
Abstract | (unpublished) Hydrological models are important in a range of applications, including water resources planning and development and management of flood prediction and design (Pechlivanidis et
al., 2011). The models are commonly classified through different forms or numerical methods, or by their dimensionality, with six common approaches, each increasing in complexity, user input, and computational time (Pechlivanidis et al., 2011). Used
for computing flood hazard at a specific return period or to reproduce historic events, these hydraulic models are technologically sophisticated, and are intended, first of all, for use by a small number of technical and scientific experts. However,
in recent years, the demand for flood predictions caused by events of different return periods, or in multiple scenarios associated with different potential futures, has increased considerably (Hunter et al., 2007). Recent research by Orth et
al.,(2015) have shown that more complex models do not necessarily result in improved performance. With the increasing availability of high-resolution raster Digital Elevation Models, simple flood inundation models may sufficiently simulate dynamic
flood inundation, suitable for a range of users (Hunter et al., 2007, Bates and de Roo, 2000). As part of a more comprehensive flood risk assessment research program, this study aims to provide the capability to compute approximate flood inundation
maps at any potential river stage by any user ' including non-experts. The intended audience is the non-expert public safety community, which combines flood hazard information together with the inventory of assets at risk and respective
vulnerabilities to assess expected economic and social losses. The proposed framework will provide tools to run otherwise complex flood risk assessment scenarios with the 'press of a button' and to ensure informed emergency response and mitigation
decisions. A number of simple methods for computing flood inundation maps will be created in a web-based mapping application. |
Summary | (Plain Language Summary, not published) This study aims to provide the capability to compute approximate flood inundation maps at any potential river stage by any user - including non-experts.
The intended audience is the non-expert public safety community, which combines flood hazard information together with the inventory of assets at risk and respective vulnerabilities to assess expected economic and social losses. The proposed
framework will provide tools to run otherwise complex flood risk assessment scenarios with the 'press of a button' and to ensure informed emergency response and mitigation decisions. A number of simple methods for computing flood inundation maps will
be created in a web-based mapping application. |
GEOSCAN ID | 313081 |
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