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<p>Understanding coastal morphological processes is essential for effective shoreline management, particularly in regions influenced by both natural forces and human activities. This study investigates short-term morpho-sedimentary changes in El Jadida Bay (Morocco) over three years (2021–2024), addressing a critical data gap in local coastal dynamics. High-resolution topographic data were collected through four GPS-RTK surveys, and Digital Terrain Models (DTMs) were derived from these data. Spatial analyses revealed substantial morphological variability, with upper beach areas showing net sediment accumulation (≈&#xa0;56% of the total sediment budget) and intertidal zones experiencing localized erosion. The net sediment balance over the study period was + 17,656 m<sup>3</sup>. Observations after storms, particularly the March 2024 event, highlight the significant role of extreme weather conditions in sediment redistribution. Quantitative validation of the DTM yields a root-mean-square error (RMSE) of 0.224 m, confirming high measurement accuracy. Morphological changes were primarily controlled by wave-energy modulation, bay concavity, and storm impacts. These results provide a robust, high-resolution dataset and a mechanistic understanding of short-term coastal processes, thereby supporting improved management and resilience of the El Jadida shoreline.</p>

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Short-term morphological dynamics of a high-energy Atlantic beach based on repeated topographic surveys: El Jadida Bay (Morocco)

  • 期刊论文

  • 发表日期：

    2026年5月27日

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  • Imane Joudar,
  • Mohammed Bouchkara,
  • Nouhaila Erraji Chahid,
  • Khalid Mehdi,
  • Bendahhou Zourarah,
  • Khalid El Khalidi

摘要

Understanding coastal morphological processes is essential for effective shoreline management, particularly in regions influenced by both natural forces and human activities. This study investigates short-term morpho-sedimentary changes in El Jadida Bay (Morocco) over three years (2021–2024), addressing a critical data gap in local coastal dynamics. High-resolution topographic data were collected through four GPS-RTK surveys, and Digital Terrain Models (DTMs) were derived from these data. Spatial analyses revealed substantial morphological variability, with upper beach areas showing net sediment accumulation (≈ 56% of the total sediment budget) and intertidal zones experiencing localized erosion. The net sediment balance over the study period was + 17,656 m3. Observations after storms, particularly the March 2024 event, highlight the significant role of extreme weather conditions in sediment redistribution. Quantitative validation of the DTM yields a root-mean-square error (RMSE) of 0.224 m, confirming high measurement accuracy. Morphological changes were primarily controlled by wave-energy modulation, bay concavity, and storm impacts. These results provide a robust, high-resolution dataset and a mechanistic understanding of short-term coastal processes, thereby supporting improved management and resilience of the El Jadida shoreline.