• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 61 Issue 1
Feb.  2026
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Article Contents
WANG Wei, SONG Yue, HUANG Li, XU Fenghuang, SHI Yuxin. Vulnerability Assessment of Composite Disaster Systems in Guangdong−Hong Kong−Macao Greater Bay Area[J]. Journal of Southwest Jiaotong University, 2026, 61(1): 287-298. doi: 10.3969/j.issn.0258-2724.20240208
Citation: WANG Wei, SONG Yue, HUANG Li, XU Fenghuang, SHI Yuxin. Vulnerability Assessment of Composite Disaster Systems in Guangdong−Hong Kong−Macao Greater Bay Area[J]. Journal of Southwest Jiaotong University, 2026, 61(1): 287-298. doi: 10.3969/j.issn.0258-2724.20240208

Vulnerability Assessment of Composite Disaster Systems in Guangdong−Hong Kong−Macao Greater Bay Area

doi: 10.3969/j.issn.0258-2724.20240208
  • Received Date: 25 Apr 2024
  • Rev Recd Date: 29 Aug 2024
  • Available Online: 21 Oct 2025
  • Publish Date: 03 Sep 2024
  • The interaction between natural disasters forms a complex disaster chain, making the losses caused by composite disasters more severe. To quantify the risk of disasters caused by complex disaster chains, explore the vulnerability level of regions to complex disaster chains, and effectively promote disaster risk prevention work, the triggering and superposition (reduction) effects of disaster chains were considered. A vulnerability assessment index system for composite disaster systems was constructed from three dimensions: exposure of disaster-bearing bodies, susceptibility, and adaptability of disaster-prone environments. A series of models for assessing the exposure degree of composite disaster-bearing bodies, disaster-prone environmental sensitivity, and adaptability was established through derivation. Subsequently, they were weighted to obtain a series of vulnerability assessment models for composite disaster systems. By taking the rainstorm-landslide disaster chain in the Guangdong−Hong Kong−Macao Greater Bay Area as an example, the vulnerability index of rainstorm, landslide, and rainstorm-landslide disaster chain in the Greater Bay Area was calculated by combining convolutional neural network (CNN), coupling model of a parameter optimal geographical detector and analytic hierarchy process (OPGD-AHP), G1 method-Technique for Order Preference by Similarity to Ideal Solution (G1-TOPSIS), and entropy weight-TOPSIS, and the corresponding vulnerability level zoning map was further drawn by using ArcGIS tools. The research results indicate that the vulnerability of the rainstorm-landslide disaster chain is high and relatively high in the western region, medium in the central and western regions, as well as southwest and northeast regions, and low and relatively low in the central, central and southern regions, and eastern regions in the Greater Bay Area. There are not only overlapping relationships but also certain triggering and synergistic effects between the vulnerability of different single disaster types in the same region, especially between high vulnerability areas, as well as between low vulnerability areas. The results can be promoted and applied in the vulnerability assessment of composite disaster systems, providing technical support for risk assessment and disaster reduction and prevention of composite disaster systems in China.

     

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