| Title | A comparison of simplified conceptual models for rapid web-based flood inundation mapping |
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| Author | McGrath, H ;
Bourgon, J -F; Proulx-Bourque, J -S; Nastev, M; Abo El Ezz, A |
| Source | Natural Hazards vol. 93, issue 2, 2018 p. 905-920, https://doi.org/10.1007/s11069-018-3331-y |
| Image |  |
| Year | 2018 |
| Alt Series | Natural Resources Canada, Contribution Series 20170357 |
| Publisher | Springer Nature |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Province | New Brunswick; Quebec |
| NTS | 21G/15; 31F/08; 31F/09; 31G/05; 31G/12 |
| Area | Gatineau; 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 |
| Subjects | hydrogeology; surface waters; rivers; floods; flood plains; hydrodynamics; models; mapping techniques; water levels; meteorology; precipitation; Emergency preparedness; snowpacks |
| Illustrations | location maps; geoscientific sketch maps; frequency distribution diagrams; tables; models |
| Program | Public Safety Geoscience Quantitative risk assessment project |
| Released | 2018 05 05 |
| Abstract | In 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 ID | 306589 |
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