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TitleA comparison of simplified conceptual models for rapid web-based flood inundation mapping
AuthorMcGrath, H; Bourgon, J -F; Proulx-Bourque, J -S; Nastev, M; Abo El Ezz, A
SourceNatural Hazards 2018 p. 1-16, https://doi.org/10.1007/s11069-018-3331-y
Year2018
Alt SeriesNatural Resources Canada, Contribution Series 20170357
PublisherSpringer
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf; html
ProvinceNew Brunswick; Quebec
NTS21G/15; 31F/08; 31F/09; 31G/05; 31G/12
AreaGatineau; Gatineau River; Ottawa River; Fredericton; Saint John River
Lat/Long WENS -67.0000 -66.5000 46.0000 45.7500
Lat/Long WENS -76.5000 -75.5000 45.7500 45.2500
Subjectshydrogeology; surface waters; rivers; floods; flood plains; hydrodynamics; models; mapping techniques; water levels; meteorology; precipitation; geological mapping; flood inundation mapping; digital terrain model; emergency preparedness; height above nearest drainage network (HAND) model; bathtub model; LiDAR; High Resolution Digital Elevation Model (HRDEM); computation time; water depth; inundation extent; snowpacks
Illustrationslocation maps; geoscientific sketch maps; frequency distribution diagrams; tables; models
ProgramQuantitave risk assessment project, Public Safety Geoscience
Released2018 05 05
AbstractIn many parts of Canada, limited data are available for hydrodynamic model inputs, and the ability to generate quality flood grids through 1D, 2D or 3D methods is nonviable. In this paper, the capability of simplified flood models, which rely solely on digital terrain models (DTMs), was explored to assess the quality and speed of their results. Results were validated against historic floods in two locations. Three non-physics-based simplified conceptual flood models were tested: (1) planar method, (2) inclined plane and (3) height above nearest drainage network (HAND) model. The accuracy and performance were evaluated using three criteria: inundation extent, water depth and computation time. Findings show that the HAND model is the best predictor of inundation extent, with Probability of Detection and Critical Success Index being higher than 0.90 in both study areas. Though the preprocessing time for the HAND model is lengthy, once completed, the time to simulate flooding at a variety of water levels is rapid, making this model the most suitable choice for web-based, on-demand flood inundation mapping. Knowledge of the fit of these flood models and associated uncertainty can be helpful to emergency managers such that they can better understand exposure and vulnerability while preparing flood response plans.
Summary(Plain Language Summary, not published)
Evaluated results (comparison to historic events) of 3 'simple' flood models (which use elevation data as only input), to see which performs best - fastest and most accurate. Based on the results, will incorporate the HAND model into ER2 web tool.
GEOSCAN ID306589