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Spatio-Temporal Analysis of Shoreline Changes andWave Modeling: Case of Mostaganem Bay, Algeria

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  • Author(s): Sallaye, Miloud; Dahmani, Abd El Alim; Cherif, Yousra Salem; Mezouar, Khoudir
  • Source:
    NAŠE MORE : znanstveni časopis za more i pomorstvo; ISSN 1848-6320 (Online); ISSN 0469-6255 (Print); ISSN-L 0469-6255; CODEN NMOREE; Volume 72; Issue 1 (online first)
  • Document Type:
    Electronic Resource
  • Online Access:
    https://doi.org/10.17818/NM/2025/1.1
    https://hrcak.srce.hr/328148
    https://hrcak.srce.hr/file/474310
    info:eu-repo/semantics/altIdentifier/doi/10.17818/NM/2025/1.1
  • Additional Information
    • Publisher Information:
      University of Dubrovnik 2025
    • Abstract:
      The coastal area of Mostaganem, from Sidi Madjedoub in the east to Oureah in the west, is a very interesting and remarkable place. Over the last 20 years, it has been exposed to a series of natural and anthropogenic processes that generate both short- and long-term variations of the shoreline position. This research is based on a spatial-temporal analysis of shoreline change along the coast between Sidi Madjedoub and Oureah, using aerial photographs from 2003 and QuickBird satellite images from 2014 and 2023. The use of Geographic Information Systems (GIS) and the Digital Shoreline Analysis System (DSAS) geostatistical tool enabled the identification of erosion and accretion rates, as well as the description of evolutionary trends over a 20-year, covering three periods (2003–2014, 2014–2023, and 2003–2023). The shoreline changes were calculated using 720 transects generated at 20-meter intervals. In addition, numerical modeling of wave propagation was carried out using the Mike 21 model to gain a better understanding of the influence of coastal hydrodynamics on shoreline change. The results reveal that most of the studied area is experiencing erosion, with an average rate of -0.28 meters per year along the entire coast. These changes result basically from sea-level rise and longshore sediment transport generated by the waves and currents approaching mostly from NNE quadrant, and human activities (sand mining, urbanization, touristic activities). This study demonstrates that combined use of satellite imagery and statistical method such as linear regression for shoreline change analysis are helpful for erosion monitoring and preventive measure.
    • Subject Terms:
      Erosion; GIS; DSAS; Mike 21; Coastal hydrodynamic; text; info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion
    • Availability:
      Open access content. Open access content
      info:eu-repo/semantics/openAccess
      Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/ that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
    • Note:
      application/pdf
      English
    • Other Numbers:
      HRCAK oai:hrcak.srce.hr:328148
      1500504781
    • Contributing Source:
      HRCAK PORTAL ZNANSTVENIH CASOPISA REPUB
      From OAIster®, provided by the OCLC Cooperative.
    • Accession Number:
      edsoai.on1500504781
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