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

Gong, Wenwu; Jiang, Jie; Yang, Lili

doi:https://doi.org/10.5194/nhess-22-3271-2022

Articles | Volume 22, issue 10

https://doi.org/10.5194/nhess-22-3271-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Advances in flood forecasting and early warning

https://doi.org/10.5194/nhess-22-3271-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 https://doi.org/10.5281/zenodo.7181425

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.