Abstract
Global warming resulting from meteorological and oceanic perturbations manifests itself, among other things, in the rise of sea level and the increase in the energy of marine storms, as well as their frequency. The IPCC predictions put forward the probability of sea level rise (SLR), which could even exceed 1m by 2100 for the most pessimistic scenarios (i.e., RCP8.5). As a result, coastal erosion events will increase. Sandy coasts are generally considered to be sensitive to erosion and SLR. They become more vulnerable when they are heavily occupied by socio-economic activities and marine structures. To predict Agadir's bay shoreline movement due to erosion and sea level rise in the long term (2100), we used multi-date aerial photographs to initially deduct the historical rates of shoreline movement (1969–2016) and spatially delimit eroding areas and accreting areas, using Digital Shoreline Analysis System (DSAS). The calculated and geospatialised rates were then used to predict the displacement of the shoreline by 2100, using the empirical models of (Bruun in J Waterways Harbors Div 88:117–130, 1962) adjusted by Ferreira (2006) as well as the IPCC projections. The results show a considerable impact of marine structures on the erosion, balance and accretion processes along Agadir Bay (7 km), which reach 38%, 20%, and 42%, respectively. The shoreline prograde in the northern zone (1.35 m/year), and retreated in the south (− 1.54 m/year). Predictions of shoreline displacement by 2100 under RCP8.5 reveal a potential risk for tourist infrastructures bordering the sea (hotels, cornices, etc.) and call on coastal managers to develop protection and adaptation strategies. The predicted average setback rates of the shoreline are between − 16.8 m and − 33.7 m for 2050 and 2100, respectively, exceeding the width of the beach in several localities.
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References
Aangri, A., Hakkou, M., Krien, Y., & Benmohammadi, A. (2022). Predicting shoreline change for the Agadir and Taghazout coasts (Morocco). Journal of Coastal Research, 38(5), 937–950. ISSN 0749-0208.
Boak, E. H., & Turner, I. L. (2005). Shoreline definition and detection: A review. Journal of Coastal Research, 688–703.
Bruun, P. (1962). Sea-level rise as a cause of shore erosion. Journal of the Waterways and Harbors Division, 88, 117–130.
Burningham, H., & French, J. (2017). Understanding coastal change using shoreline trend analysis supported by cluster-based segmentation. Geomorphology, 282, 131–149. https://doi.org/10.1016/j.geomorph.2016.12.029
Cooper, J. A., Jackson, D., Nava, F., Mckenna, J., & Malvarez, G. (2004). Storm impacts on an embayed high energy coastline, Western Ireland. Marine Geology, 210, 261–280.
Ferreira, O., Garcia, T., Matias, A., Taborda, R., & Dias, J. (2006). An integrated method for the determination of set-back lines for coastal erosion hazards on sandy shores. Continental Shelf Research. https://doi.org/10.1016/j.csr.2005.12.016.
Forbes, D., Parkers, G., Manson, G., & Ketch, K. (2004). Storms and shoreline retreat in the Southern Gulf of St. Lawrence. Marine Geology, 210(1–4), 169–204.
Hakkou, M., Maanan, M., Belrhaba, T., El khalidi, K., El Ouai, D., & Benmohammadi, A. (2018). Multi-decadal assessment of shoreline changes using geospatial tools and automatic computation in Kenitra coast, Morocco. Ocean and Coastal Management, 163, 232–239.https://doi.org/10.1016/j.ocecoaman.2018.07.003
IPCC, Climate Change. (2013). The physical science basis, contribution of working group 1 to the fifth assessment report of the intergovernmental panel on climate change (p. 1523). Cambridge University Press.
Jana, A., Biswas, A., Maiti, S., & Bhattacharya, A. K. (2014). Shoreline changes in response to sea level rise along Digha Coast, Eastern India: An analytical approach of remote sensing, GIS and statistical techniques. Journal of Coastal Conservation, 18(3), 145–155. https://doi.org/10.1007/s11852-013-0297-5
Mills, J. P., Buckley, S. J., Mitchell, H. L., Clarke, P. J., & Edwards, S. J. (2005). A geomatics data integration technique for coastal change monitoring. Earth Surface Processes and Landforms, 30(6), 651–664.
Moore, L. (2000). Shoreline mapping techniques. Journal of Coastal Research, 16, 111–124.
Morton, R. A., Miller, T. L., & Moore, L. J. (2004). National assessment of shoreline change. Part1: Historical shoreline change sand associated coastal land loss along the US Gulf of Mexico. U.S. Geological Survey Open File Report 2004-1043.
Ranasinghe, R., Callaghan, D., & Stive, M. J. F. (2012). Estimating coastal recession due to sea level rise: Beyond the Bruun rule. Climatic Change, 110, 561–574. https://doi.org/10.1007/s10584-011-0107-8
Rosati, J. D., Dean, R. G., & Walton, T. L. (2013). The modified Bruun rule extended for landward transport. Marine Geology, 340, 71–81. https://doi.org/10.1016/j.margeo.2013.04.018
Thieler, E. R., & Danforth, W. W. (1994). Historical shoreline mapping I: Improving techniques and reducing positioning errors. Journal of Coastal Research, 10(3), 549–563.
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Aangri, A., Hakkou, M., Krien, Y., Chtioui, T., Elmostafa, Z., Mohammadi, A.B. (2024). Mapping the Shoreline Evolution in Response to Sea Level Rise Along Agadir Bay, Morocco: Geospatial and Empirical Approach. In: Chenchouni, H., et al. Recent Advancements from Aquifers to Skies in Hydrogeology, Geoecology, and Atmospheric Sciences. MedGU 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-47079-0_68
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