Articles | Volume 22, issue 10
Research article
12 Oct 2022
Research article |  | 12 Oct 2022

Dynamic risk assessment of compound hazards based on VFS–IEM–IDM: a case study of typhoon–rainstorm hazards in Shenzhen, China

Wenwu Gong, Jie Jiang, and Lili Yang

Data sets

Data sets of typhoon-rainstorm hazards in Shenzhen. NHESS W. Gong

Short summary
We propose a model named variable fuzzy set and information diffusion (VFS–IEM–IDM) to assess the dynamic risk of compound hazards, which takes into account the interrelations between the hazard drivers, deals with the problem of data sparsity, and considers the temporal dynamics of the occurrences of the compound hazards. To examine the efficacy of the proposed VFS–IEM–IDM model, a case study of typhoon–rainstorm risks in Shenzhen, China, is presented.
Final-revised paper