Journal of Marine Sciences ›› 2023, Vol. 41 ›› Issue (4): 70-83.DOI: 10.3969/j.issn.1001-909X.2023.04.007

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Vulnerability and driving factors of coastal erosion: A case study of the central coast of Jiangsu

ZHANG Zhi1(), LIU Xianguang2, ZHOU Kai1, LIN Weibo1, MAO Shifeng1, LI Lanman1   

  1. 1. Tidal Flat Research Center in Jiangsu, Nanjing 210036, China
    2. Institute of Geochemical Exploration and Marine Geological Surrey, East China Mineral Exploration and Development Bureau for Non-ferrous Metals, Nanjing 210007, China
  • Received:2023-05-08 Revised:2023-07-31 Online:2023-12-15 Published:2024-01-30


Coastal erosion leads to land loss and seriously threatens people’s life and property safety. It is great significant to identify coastal erosion vulnerability for disaster prevention and mitigation. The evaluation index system was constructed from three aspects: coastal dynamics, coastal morphology and social economy. Using the DSAS model and remote sensing data, the coast was discretized into equally spaced units based on section method, the weight and grade of the evaluation index were determined based on the entropy weight method, the coastal erosion vulnerability in the study area was calculated, and the spatial differentiation and influencing factors of coastal erosion vulnerability were identified by geographic detector. The results showed that the proportions of coastal erosion vulnerability for extremely high vulnerability, high vulnerability, medium vulnerability, low vulnerability and extremely low vulnerability in central coast of Jiangsu were 5.60%, 15.80%, 30.93%, 24.21%, and 23.46%, respectively, that showed a decreasing trend from north to south. The extremely vulnerable areas of coastal erosion were mainly located in the coastal area between the Zhongshan Estuary and the Sheyang Estuary. The spatial differentiation of coastal erosion vulnerability in central Jiangsu was the result of the synergistic effect of multiple factors such as coastal dynamics, coastal morphology, and economic and social activities. Among them, tidal slope, land cover, average tidal range, and coastline change rate were the dominant factors for the spatial differentiation of coastal erosion vulnerability.

Key words: coastal erosion, vulnerability, DSAS, geographical detector, driving factor

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