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

Gong, Wenwu1; Jiang, Jie2; Yang, Lili1

2022-10-12

10.5194/nhess-22-3271-2022

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES   Impact Factor & Quartile

1561-8633

1684-9981

Global warming has led to increased compound hazards, and an accurate risk assessment of such hazards is of great importance to urban emergency management. Due to the interrelations between multiple hazards, the risk assessment of a compound hazard faces several challenges: (1) the evaluation of hazard level needs to consider the correlations between compound hazard drivers, (2) usually only a small number of data samples are available for estimating the joint probability distribution of the compound hazard drivers and the loss caused by the hazards, and (3) the risk assessment process often ignores the temporal dynamics of compound hazard occurrences. This paper aims to address the mentioned challenges and develop an integrated risk assessment model VFS-IEM-IDM to quantify the dynamic risk of compound hazards based on variable fuzzy set theory (VFS), information entropy method (IEM), and information diffusion method (IDM). For the first challenge, VFS-IEM-IDM measures the effect of the compound hazard drivers via the use of relative membership degree and analyses the correlation between drivers with the entropy weight method, which is combined to evaluate compound hazard level. To address the second challenge, VFS-IEM-IDM applies the normal diffusion function to estimate the probability distribution of the compound hazard and the corresponding loss vulnerability curve. To deal with the third challenge, VFS-IEM-IDM assesses the risk of a compound hazard in different months based on the definition of probabilistic risk. In the end, this paper takes the typhoon-rainstorm disaster in Shenzhen, China, as an example to evaluate the effectiveness of the proposed VFS-IEM-IDM model. The results show that VFS-IEM-IDM effectively estimates the typhoon-rainstorm compound hazard level and assesses the dynamic risk of the compound hazards.

SCI

English

First ; Corresponding

National Key Research and Development Program of China["2019YFC0810705","2018YFC0807000"] ; National Natural Science Foundation of China[71771113]

Geology ; Meteorology & Atmospheric Sciences ; Water Resources

Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources

WOS:000865950500001

COPERNICUS GESELLSCHAFT MBH

GEOSCIENCES

Web of Science

1.Southern Univ Sci & Technol, Dept Stat & Data Sci, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China

Gong, Wenwu,Jiang, Jie,Yang, Lili. Dynamic risk assessment of compound hazards based on VFS-IEM-IDM: a case study of typhoon-rainstorm hazards in Shenzhen, China[J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,2022,22(10).

Gong, Wenwu,Jiang, Jie,&Yang, Lili.(2022).Dynamic risk assessment of compound hazards based on VFS-IEM-IDM: a case study of typhoon-rainstorm hazards in Shenzhen, China.NATURAL HAZARDS AND EARTH SYSTEM SCIENCES,22(10).

Gong, Wenwu,et al."Dynamic risk assessment of compound hazards based on VFS-IEM-IDM: a case study of typhoon-rainstorm hazards in Shenzhen, China".NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 22.10(2022).