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Flood Hazard Index Application in Arid Catchments: Case of the Taguenit Wadi Watershed, Lakhssas, Morocco

Author

Listed:
  • Mustapha Ikirri

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Farid Faik

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Fatima Zahra Echogdali

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Isabel Margarida Horta Ribeiro Antunes

    (Institute of Earth Sciences, Pole of University of Minho, 4710-057 Braga, Portugal)

  • Mohamed Abioui

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Kamal Abdelrahman

    (Department of Geology & Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

  • Mohammed S. Fnais

    (Department of Geology & Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

  • Abderrahmane Wanaim

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Mouna Id-Belqas

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Said Boutaleb

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Kochappi Sathyan Sajinkumar

    (Department of Geology, University of Kerala, Thiruvananthapuram 695 581, Kerala, India
    Department of Geological & Mining Engineering & Sciences, Michigan Technological University, Houghton, MI 49931, USA)

  • Adolfo Quesada-Román

    (Department of Geography and Water and Global Change Observatory, University of Costa Rica, San José 2060, Costa Rica)

Abstract

During the last decade, climate change has generated extreme rainfall events triggering flash floods in short periods worldwide. The delimitation of flood zones by detailed mapping generally makes it possible to avoid human and economic losses, especially in regions at high risk of flooding. The Taguenit basin, located in southern Morocco, is a particular case. The mapping of the flood zones of this basin by the method of the Flood Hazard Index (FHI) in a GIS geographic information systems environment was based on the multi-criteria analysis, taking into consideration the seven parameters influencing these extreme phenomena, namely rainfall, slope, flow accumulation, drainage network density, distance from rivers, permeability, and land use. Average annual rainfall data for 37 years (1980 to 2016) was used in this study for floodplain mapping. A weight was calculated for each parameter using the Analytical Hierarchy Process (AHP) method. The combination of the maps of the different parameters made it possible to draw up a final map classified into five risk intervals: very high, high, moderate, lower and very lower presenting, respectively, 8.04%, 20.63%, 31.47%, 15.36%, and 24.50% of the area of the basin. The reliability of this method was tested by a Flood susceptibility analysis. The results generated by the Flood Hazard Index (FHI) model are similar to those of previous historical events. Realistic and applicable solutions have been proposed to minimize the impact of these floods as much as possible.

Suggested Citation

  • Mustapha Ikirri & Farid Faik & Fatima Zahra Echogdali & Isabel Margarida Horta Ribeiro Antunes & Mohamed Abioui & Kamal Abdelrahman & Mohammed S. Fnais & Abderrahmane Wanaim & Mouna Id-Belqas & Said B, 2022. "Flood Hazard Index Application in Arid Catchments: Case of the Taguenit Wadi Watershed, Lakhssas, Morocco," Land, MDPI, vol. 11(8), pages 1-20, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1178-:d:874260
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    References listed on IDEAS

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    Cited by:

    1. Jobaed Ragib Zaman & C. Emdad Haque & David Walker, 2022. "Local-Level Flood Hazard Management in Canada: An Assessment of Institutional Structure and Community Engagement in the Red River Valley of Manitoba," Geographies, MDPI, vol. 2(4), pages 1-26, December.
    2. Minh Pham Quang & Krti Tallam, 2022. "Predicting Flood Hazards in the Vietnam Central Region: An Artificial Neural Network Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.

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