| Titre | A comparison of rapid DTM based approaches for on-demand flood inundation mapping |
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| Auteur | McGrath, H ;
Proulx-Bourque, J -S; Bourgon, J -F; Nastev, M; Abo El Ezz, A |
| Source | IEEE International Geoscience and Remote Sensing Symposium proceedings 2018, 8517772, 2018 p. 1-4, https://doi.org/10.1109/IGARSS.2018.8517772 |
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| Année | 2018 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20190057 |
| Éditeur | IEEE |
| Réunion | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; Valencia; ES; juillet 22-27, 2018 |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1109/IGARSS.2018.8517772 |
| Media | papier; en ligne; numérique |
| Formats | pdf (Adobe® Reader®) |
| Province | Nouveau-Brunswick; Québec |
| SNRC | 21G/15; 31F/08; 31F/09; 31G/05; 31G/12 |
| Région | Gatineau; Gatineau River; Rivière des Outaouais; Fredericton; Rivière Saint-Jean |
| Lat/Long OENS | -67.0000 -66.5000 46.0000 45.7500 |
| Lat/Long OENS | -76.5000 -75.5000 45.7500 45.2500 |
| Sujets | eaux de surface; rivières; inondations; plaines d'inondation; hydrodynamique; modèles; techniques de cartographie; niveaux d'eau; météorologie; précipitation; modélisation numérique de terrain;
télédétection; niveaux d'eau; Évaluation des risques; Protection civile; hydrogéologie; géophysique |
| Illustrations | cartes de localisation; cartes géolscientiques généralisées; modèles |
| Programme | Géoscience pour la sécurité publique Évaluation quantitative du risque |
| Diffusé | 2018 11 05 |
| Résumé | (disponible en anglais seulement)
Flood inundation mapping is very useful for both risk assessment and for providing situational awareness during an emergency. Flood modelling is often complex
and requires many variables and parameters, which are often unavailable. In this paper, the capability of simplified flood models, relying exclusively on digital terrain models was explored for two study areas. Three simplified conceptual flood
models were tested: (i) planar method (ii) inclined plane and (iii) height above nearest drainage network (HAND) model. The accuracy and performance of these models were evaluated using two criteria: inundation extent and computation time. Findings
indicate the HAND model is the best predictor of inundation extent. Though the pre-processing time for the HAND model is lengthy, once completed, the time to simulate flood depth at a variety of water levels is rapid, making this model the most
suitable choice for on-demand flood inundation mapping. |
| GEOSCAN ID | 314676 |
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