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TitreA comparison of rapid DTM based approaches for on-demand flood inundation mapping
AuteurMcGrath, H; Proulx-Bourque, J -S; Bourgon, J -F; Nastev, M; Abo El Ezz, A
SourceIEEE International Geoscience and Remote Sensing Symposium proceedings 2018, 8517772, 2018 p. 1-4, https://doi.org/10.1109/IGARSS.2018.8517772
Année2018
Séries alt.Ressources naturelles Canada, Contribution externe 20190057
ÉditeurIEEE
RéunionIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; Valencia; ES; juillet 22-27, 2018
Documentpublication en série
Lang.anglais
DOIhttps://doi.org/10.1109/IGARSS.2018.8517772
Mediapapier; en ligne; numérique
Formatspdf (Adobe® Reader®)
ProvinceNouveau-Brunswick; Québec
SNRC21G/15; 31F/08; 31F/09; 31G/05; 31G/12
Lat/Long OENS -67.0000 -66.5000 46.0000 45.7500
Lat/Long OENS -76.5000 -75.5000 45.7500 45.2500
Sujetseaux 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; protection civile; hydrogéologie; géophysique
Illustrationslocation maps; geoscientific sketch maps; models
ProgrammeGéoscience pour la sécurité publique, Évaluation quantitative du risque
Diffusé2018 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 ID314676