@article{fdi:010078493,
  title = {{F}lood hazard mapping using two digital elevation models : application in a semi-arid environment of {M}orocco},
  author = {{B}ennani, {O}. and {T}ramblay, {Y}ves and {S}aidi, {M}.{E}.{M}. and {G}ascoin, {S}. and {L}eone, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {H}igh {A}tlas of {M}orocco is a semi-arid mountainous environment that frequently suffers from natural hazards. {F}or example, the watersheds upstream of {M}arrakech city are subject to extreme floods, caused by heavy rains. {T}hese episodes are frequent and often devastating, as was the {A}ugust 1995 event that caused hundreds of deaths in the {O}urika {V}alley. {T}he purpose of this work is to characterize the risk of flooding in this valley, by simulating the water levels and the floodplain extension. {T}his watershed of the {O}urika is characterized by a high relief, a rugged topography and a low permeability substratum. {T}o perform this hydraulic simulation, the resolution and accuracy of {D}igital {E}levation {M}odels ({DEM}) can strongly impact the results in terms of water levels and flow velocities during floods. {T}wo digital elevation models ({DEM}) were compared : a {DEM} {ASTER} with a spatial resolution of 30 m and a {DEM} derived from stereoscopic images of {P}leiades with a resolution of 4 m. {U}sing a hydraulic model ({HEC}-{RAS}) and the two {DEM} resolutions, flood areas corresponding to different return periods are simulated and compared. {F}or the assessment of the two {DEM}, many areas are selected that are characterized by different types of exposure : highly frequented tourist areas near a regional road and agricultural areas on alluvial terraces, where cultivated fields and infrastructure are vulnerable. {T}he results showed that the high-resolution {P}leiades {DEM} allows for accurate mapping of floodplains in complex terrain, as it realistically represents the topography and allows correct simulation of observed water levels. {T}his study highlights the added value of a high-resolution remote sensing for flood modeling in areas where data are scarce.},
  keywords = {{MAROC} ; {ZONE} {SEMIARIDE} ; {MARRAKECH} ; {HAUT} {ATLAS} ; {OURIKA}},
  booktitle = {},
  journal = {{E}uropean {S}cientific {J}ournal},
  volume = {15},
  numero = {33},
  pages = {338--359},
  ISSN = {1857-7431},
  year = {2019},
  DOI = {10.19044/esj.2019.v15n33p338},
  URL = {https://www.documentation.ird.fr/hor/fdi:010078493},
}