Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3271–3283, 2022

Special issue: Advances in flood forecasting and early warning

Nat. Hazards Earth Syst. Sci., 22, 3271–3283, 2022
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 et al.

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Cited articles

Alan, A.: Generalized Odds Ratios for Ordinal Data, Biometrics, 36, 59–67,, 1980. a
Beaula, T. and Partheeban, J.: Application of Variable Fuzzy Sets in the Analysis of Synthetic Disaster Degree for Flood Management, Int. J. Fuzzy Log. Syst., 5, 153–162, 2013. a
Chen, Y. and Yu, G.: Variable Fuzzy Sets and its Application in Comprehensive Risk Evaluation for Flood-control Engineering System, Fuzzy Optimiz. Decis. Mak., 5, 153–162,, 2006. a, b, c, d
Choi, E., Ha, J. G., and Min, K. K.: A review of multihazard risk assessment: Progress, potential, and challenges in the application to nuclear power plants, Int. J. Disast. Risk Reduct., 53, 19–33,, 2021. a
Fang, Y., Zheng, X., Peng, H., Wang, H., and Xin, J.: A New Method of the Relative Membership Degree Calculation in Variable Fuzzy Sets for Water Quality Assessment, Ecol. Indic., 98, 515–522,, 2019. a
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