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Spatial Prediction of Flood Frequency Analysis in a Semi-Arid Zone: A Case Study from the Seyad Basin (Guelmim Region, Morocco)

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Geospatial Technology for Landscape and Environmental Management

Part of the book series: Advances in Geographical and Environmental Sciences ((AGES))

Abstract

Flood, a constant phenomenon especially in the semi-arid areas and flood plain regions, can be seen as one of the most destructive natural hazards jeopardizing the life of a population, their property, and their physical and economic environment. This paper focus on hydrologic modeling using the HEC-RAS model in combination with Watershed Modeling System (WMS) tools compares to the Flood Hazard Index (FHI) method using GIS in the Seyad basin situated in the southwestern region of Morocco with an area of 1512.85 km2. The goal sought in this study is to evaluate flood risk in the Seyad basin that covers the cities of Taghjijt, Aday, Amtoudi, Tagriante, and Timoulayn’Ouamalougt that are areas with important agricultural lands. The HEC-RAS approach combines the surface hydrologic model and the digital terrain model data. This combination allows the mapping of the flood zones by using the WMS tools. This approach predicts flood occurrence probability for different times and determines the intensity of the flood (depth and velocity of floodwater) by using the existing hydrological data. On the other hand, The Flood Hazard Index method presents a multi-criteria index to assess flood risk areas, using six physical parameters namely: Permeability, slope, distance from the drainage network, land use, drainage network, and flow accumulation. A weight is calculated from the analytic hierarchy process method and applies to each parameter. HEC-RAS method allows the mapping of a flood with a flood water surface profile that shows the depth of flood for Annual Exceedance Probability (AEP) while FHI permits establishing flood risk level without indicating the depth of water. In both approaches, six types of simulations were performed with the return periods of 10, 20, 50, 100, 200, and 500 years and the simulation revealed that the most susceptible areas to flooding are the area along the Seyad River.

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Authors and Affiliations

  1. Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco

    Fatima Zahra Echogdali, Mohammed Ouchchen, Mouna Id-Belqas, Bouchra Dadi, Mustapha Ikirri, Mohamed Abioui & Said Boutaleb

  2. Regional Water and Environmental Sanitation Centre Kumasi, Kumasi, Ghana

    Rosine Basseu Kpan

Authors
  1. Fatima Zahra Echogdali
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  2. Rosine Basseu Kpan
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  3. Mohammed Ouchchen
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  4. Mouna Id-Belqas
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  5. Bouchra Dadi
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  6. Mustapha Ikirri
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  7. Mohamed Abioui
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  8. Said Boutaleb
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Correspondence to Mohamed Abioui .

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Editors and Affiliations

  1. Department of Geography, Khwaja Moinuddin Chishti Language University, Lucknow, Uttar Pradesh, India

    Praveen Kumar Rai

  2. Centre for Climate Change and Water Research, Suresh Gyan Vihar University, Jaipur, Rajasthan, India

    Varun Narayan Mishra

  3. Department of Geology, School of Earth, Biological and Environmental Sciences, Central University of South Bihar, Gaya, Bihar, India

    Prafull Singh

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Echogdali, F.Z. et al. (2022). Spatial Prediction of Flood Frequency Analysis in a Semi-Arid Zone: A Case Study from the Seyad Basin (Guelmim Region, Morocco). In: Rai, P.K., Mishra, V.N., Singh, P. (eds) Geospatial Technology for Landscape and Environmental Management. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-7373-3_3

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