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Effects of using different sources of remote sensing and geographic information system data on urban stormwater 2D–1D modeling / Yi Hong in Applied sciences, vol 7 n° 9 (September 2017)  

Public [article]  inApplied sciences > vol 7 n° 9 (September 2017) Titre : Effects of using different sources of remote sensing and geographic information system data on urban stormwater 2D–1D modeling Type de document : Article/Communication Auteurs : Yi Hong, Auteur ; Céline Bonhomme, Auteur ; Bahman Soheilian , Auteur ; Ghassan Chebbo, Auteur Année de publication : 2017 Projets : TrafiPollu / Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] données lidar [Termes IGN] données localisées 2D [Termes IGN] données localisées 3D [Termes IGN] eau pluviale [Termes IGN] logiciel de simulation [Termes IGN] modèle de simulation [Termes IGN] modèle numérique de terrain [Termes IGN] réseau d'assainissement [Termes IGN] ruissellement [Termes IGN] surface imperméable [Termes IGN] utilisation du sol [Termes IGN] ville [Termes IGN] zone urbaine Résumé : (auteur) Remote sensing (RS) and geographic information system (GIS) data is increasingly used in urban stormwater modeling. The undirected use of such data may waste economic and human resources. In order to provide guidance for practitioners to efficiently use different data collection resources, as well as give a reference for future works, this paper aims to assess the effects of using free access GIS data and ad hoc RS data on urban 2D–1D stormwater modeling. The 2D-surface Two-dimensional Runoff, Erosion, and Export model (TREX) model was published in Science of the Total Environment in 2008. The 1D-sewer CANOE (Logiciel intégré de conception et de diagnostic des réseaux d’assainissement) model was published in Journal of Hydrology in 2004. The two models are integrated in the TRENOE (TREX-CANOE) platform. The modeling approach is applied to a small urban catchment near Paris (Le Perreux sur Marne, 0.12 km2). Simulation results reveal that the detailed land-use information derived from multiple data sources is a crucial factor for accurate simulations. Nevertheless, using the very high resolution LiDAR (light detection and ranging) data is not equally significant for the water flow simulations at sewage outlets. Finally, we suggest that using the free access GIS data accompanying the urban sewer network design might be an acceptable low-cost solution for accurate urban 2D–1D stormwater modeling during moderate rainfall events. Further studies of urban stormwater modeling could focus on the development of “suitable” models with “enough” input data, depending on the management/research objectives. Numéro de notice : A2017-842 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/app7090904 Date de publication en ligne : 05/09/2017 En ligne : https://doi.org/10.3390/app7090904 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89409 [article]