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Raster modelling of coastal flooding from sea-level rise / B. Poulter in International journal of geographical information science IJGIS, vol 22 n° 1-2 (february 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n° 1-2 (february 2008) . - pp 167 - 182 Titre : Raster modelling of coastal flooding from sea-level rise Type de document : Article/Communication Auteurs : B. Poulter, Auteur ; P. Halpin, Auteur Année de publication : 2008 Article en page(s) : pp 167 - 182 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse spatio-temporelle [Termes IGN] Caroline du Nord (Etats-Unis) [Termes IGN] changement climatique [Termes IGN] données lidar [Termes IGN] érosion côtière [Termes IGN] modèle mathématique [Termes IGN] modèle numérique de surface [Termes IGN] montée du niveau de la mer [Termes IGN] nivellement direct Résumé : (Auteur) As rates of sea-level rise continue to increase due to climate change, land planners require accurate spatial analyses on the extent and timing of coastal flooding and associated hazards. Digital elevation data used to evaluate coastal vulnerability to flooding are available at various horizontal and vertical resolutions. However, the quality of digital elevation models (DEM) used in environmental assessment can significantly affect the detection of topographic features and the magnitude of hydrological processes. We used lidar elevation data in coastal North Carolina, USA to investigate the effects of horizontal resolution and connectivity on the extent and timing of flooding from sea-level rise. We found that the rate and extent of inundation were dependent on horizontal resolution and assumptions made on hydrological connectivity. The variation in flood extent was much larger (760 km2) at low sea-level projections (~0.9 m, 114 km2) due to the effect of hydrological corrections on the coarse-scale DEM and topographic complexity at low elevations. Lidar elevation data provide a significant advance in mapping potential coastal flooding, but the extent and timing of inundation are sensitive to horizontal resolution and the modelling of hydrological connectivity. Copyright Taylor & Francis Numéro de notice : A2008-106 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810701371858 En ligne : https://doi.org/10.1080/13658810701371858 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29101 [article]

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