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<p>Every year, the city of Ain Beni Mathar in northeast Morocco has to cope with stormy rainfall, resulting in floods that periodically affect the city. These floods are caused by the El-Hai and Msakhskha Rivers, which run through the city and generate flash floods. To this end, this study aims to map the flood hazard in this area to limit the areas likely to be flooded and to assess their impact on the socio-economic environment. To achieve this, we carried out a morphometric characterization of the catchment areas based on DTM and GIS. We then calculated peak flows and flood hydrographs using the Soil Conservation Service Curve Number (SCS-CN) method, which converts rainfall in the study region into flow rates. Finally, we carried out 2D hydraulic flood modelling using Iber software and mapped the flood hazard using GIS. The simulation results reveal that the most significant hazard corresponds to the 100-year return period (T = 100&#xa0;years). The map shows four classes: low, medium, high, and very high, with surface areas of 1.16, 2.36, 8.4, and 9.04 km<sup>2</sup>, respectively. This hazard affects several buildings in the city of Ain Beni Mathar, which is situated near the rivers, along with the R608 rural road and the RN 17 national road running through the city.</p>

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2D modeling and flood hazard mapping of the El-Hai and Msakhskha rivers in the city of Ain Beni Mathar (NE Morocco)

  • 期刊论文

  • 发表日期：

    2025年5月27日

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  • Imane Amar,
  • Said Bengamra,
  • Mimoun Chourak,
  • Abdelhakim Jilali,
  • Hafssa Afif,
  • Hanae Bouiss,
  • Hicham Sabar,
  • Smahane Ramdani

摘要

Every year, the city of Ain Beni Mathar in northeast Morocco has to cope with stormy rainfall, resulting in floods that periodically affect the city. These floods are caused by the El-Hai and Msakhskha Rivers, which run through the city and generate flash floods. To this end, this study aims to map the flood hazard in this area to limit the areas likely to be flooded and to assess their impact on the socio-economic environment. To achieve this, we carried out a morphometric characterization of the catchment areas based on DTM and GIS. We then calculated peak flows and flood hydrographs using the Soil Conservation Service Curve Number (SCS-CN) method, which converts rainfall in the study region into flow rates. Finally, we carried out 2D hydraulic flood modelling using Iber software and mapped the flood hazard using GIS. The simulation results reveal that the most significant hazard corresponds to the 100-year return period (T = 100 years). The map shows four classes: low, medium, high, and very high, with surface areas of 1.16, 2.36, 8.4, and 9.04 km2, respectively. This hazard affects several buildings in the city of Ain Beni Mathar, which is situated near the rivers, along with the R608 rural road and the RN 17 national road running through the city.