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La Houille Blanche Volume 102, 2016 - Issue 5
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Research Article

Évolution du ruissellement et du volume d'eau ruisselé en surface urbaine. Étude de cas : Bordeaux 1984-2014, France

Urban runoff pathways and surface water volumes evolution. Case study: Bordeaux 1984-2014, France

Ionel Haidu Université de Lorraine, Laboratoire LOTERR - EA 7304, 57045Metz, France,
&
Kinga Ivan Babeş-Bolyai University of Cluj-Napoca, 400006Cluj-Napoca, Romania,
Pages 51-56 | Published online: 10 Nov 2016

  • BriatP., BourgogneP. (1992) — Exemple d'acquisition et de gestion des écoulements sur le réseau Pluvial De La Communauté Urbaine De Bordeaux. La Houille Blanche. 6437-442
  • DengY., FanF. & ChenR. (2012) — Extraction and Analysis of Impervious Surfaces Based on a Spectral Un-Mixing Method Using Pearl River Delta of China Landsat TM/ETM+ Imagery from 1998 to 2008. Sensors. 121846-1862
  • DoughertyM., DymondR.L., GoetzS.J., JantzC.A. & GouletN. (2004) — Evaluation of impervious surface estimates in a rapidly urbanizing watershed. Photogrammetric Engineering and Remote Sensing. 701275-1284
  • FalconeJ.A., GomezR. (2005) — Mapping impervious surface type and sub-pixel abundance using Hyperion hyperspectral imagery. Geocarto Int.20 (4)3-10
  • GyoriM.M., HaiduI. (2011) — Unit Hydrograph Generation for Ungauged Subwatersheds. Case Study: the Monoroştia River, Arad County, Romania. Geographia Technica. 6 (2)23-29
  • HodgsonM.E., JensenJ.R., TullisJ.A., RiordanK.D. & ArcherC.M. (2003) — Synergistic use of LiDAR ad color aerial photography for mapping urban parcel imperviousness. Photogrammetric Engineering and Remote Sensing. 69973-980
  • Infoclimat (2014) — Available from: http://www.infoclimat.fr/ [Accesed 15 October 2014].
  • INSEE (2014) — Institut National de la Statistique et des Etudes Economiques, France. Available from: http://www.insee.fr [Accesed 10 August 2014].
  • Lacub (2014) — La Communauté urbaine de Bordeaux. Available from: http://data.lacub.fr/data [Accesed 10 April 2014].
  • LiuC., ShaoZ., ChenM. & LuoH. (2013) — MNDISI: a multi-source composition index for impervious surface area estimation at the individual city scale. Remote Sensing Letters. 4(8)803-812
  • LuD., WengQ. (2006) — Use of impervious surface in urban land-use classification. Remote Sensing of Environment. 102146-160
  • LuD., WengQ. (2009) — Extraction of urban impervious surfaces from IKONOS imagery. International Journal of Remote Sensing. 30(5)1297-1311
  • NielsenN.H., JensenL.N., LindeJ.J. & HalagerP. (2008) — Urban Flooding Assessment. 11th International Conference on Urban Drainage, 31st August - 5th September 2008, Edinburgh, Scotland.
  • PareceT. E., CampbellJ.B. (2013) — Comparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photography. Remote Sensing. 54942-4960
  • Pomeroy LisaJ.M., SwanR., ThomsonR., PhillipsB., BallJ. & PathirajaS. (2013) — Estimation of imperviousness for a Victorian urban catchment. 8th Victoria Flood Conference, Melbourne, Australia.
  • ShahtahmassebiA., ZhouL., WangK., XuH., DengJ., LiJ., LuoR., WuJ. & MooreN. (2012) — Monitoring rapid urban expansion using a multi-temporal RGB-impervious surface model. Environmental Engineering. 13 (2)146-158
  • Sud Ouest (2013) — Orages : vos photos de Bordeaux sous les eaux. 27 juillet 2013. Available from: http://www.sudouest.fr/2013/07/27/le-centre-de-bordeaux-sous-les-eaux-1126304-2780.php [Accesed 15 October 2014]
  • SutherlandR.C. (1995) — Methods for Estimating the Effective Impervious Area of Urban Watersheds. The Practice of Watershed Protection, Article 32. 193-195
  • U. S. Army Corps of Engineers (USACE) (2000) — Hydrologic Modeling System HEC HMS - Technical Reference Manual. U. S. Army Corps of Engineers, Hydrologic Engineering Center.
  • WengQ. (2001) — Modelling urban growth effects on surface run-off with the Integration of Remote Sensing and GIS. Environ. Manage.28737-748
  • WengQ. (2012) — Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sensing of Environment. 11734-49
  • XuH.Q. (2007) — Extraction of urban built-up land features from Landsat imagery using a thematic-oriented index combination technique. Photogrammetric Engineering and Remote Sensing. 73(12)1381-1391
  • XuH. (2010) — Analysis of impervious surface and its impact on urban heat environment using the normalized difference impervious surface Index (NDISI). Photogrammetric Engineering and Remote Sensing. 76 (5)557-565
  • YuanF., BauerM.E. (2007) — Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing of Environment. 106 (3)375-386
  • YuanF., WuC. & BauerM.E. (2008) — Comparison of spectral analysis techniques for impervious surface estimation using Landsat imagery. Photogrammetric Engineering and Remote Sensing. 74(8)1045-1055
  • ZhouY.Y., WangY.Q. (2008) — Extraction of impervious, surface areas from high spatial resolution imagery by multiple agent segmentation and classification. Photogrammetric Engineering and Remote Sensing. 74(7)857-868

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