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Flood Hazard Mapping and Modeling Using GIS Applied to the Souss River Watershed

  • Z. E. A. El MorjaniEmail author
  • M. Seif Ennasr
  • A. Elmouden
  • S. Idbraim
  • B. Bouaakaz
  • A. Saad
Chapter
Part of the The Handbook of Environmental Chemistry book series (HEC, volume 53)

Abstract

This study describes a simple and cost-effective methodology and process to accurately delineate the flood hazard areas in the Souss River basin from the available database using a geographic information system (GIS).

The approach proposed to spatially distribute flood hazard combines the extent of past flood events with the spatial distribution of causal factors. This combination enables the calculation of a weighted score for each individual causal factor. The spatial distribution of the weighted scores are then aggregated to derive the distribution of the flood hazard index (FHI) before being reclassified to obtain the spatial distribution of the intensity level of flood hazard.

The high-resolution 30 m map resulting from this methodology has been assessed by Souss Massa Draa Hydraulic Basin Agency (ABHSMD) flooding sites information. The cross-validation indicates that the accuracy of the flood hazard distribution map is 85%.

In this context, this map provides actionable information to the decision-making process on development planning, emergency preparedness, and mitigation measures by helping to identify and prioritize areas with high probability of hazard occurrence or intensity in order to avoid any dramatic disaster.

In addition, this work should also be seen as a first step aiming at improving information management in the study area. An important amount of data and information have been compiled, homogenized, updated, and generated.

Finally, this process could be transferred and implemented in other basins or regions of Morocco by using their own accurate and reliable information.

Keywords

Disaster Flood hazard Geostatistics GIS Gumbel frequency analysis Inundation Mapping Modeling Morocco Souss River Stepwise regression 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Z. E. A. El Morjani
    • 1
    Email author
  • M. Seif Ennasr
    • 2
  • A. Elmouden
    • 2
  • S. Idbraim
    • 2
  • B. Bouaakaz
    • 3
  • A. Saad
    • 1
  1. 1.Taroudant Poly-Disciplinary FacultyIbn Zohr University of AgadirAgadirMorocco
  2. 2.Faculty of ScienceIbn Zohr University of AgadirAgadirMorocco
  3. 3.Souss Massa Draa Hydraulic Basin AgencyAgadirMorocco

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