Hong, Xu, Song, Yupeng, Kong, Fan and Beer, Michael 
ORCID: 0000-0002-0611-0345
(2023)
The Typhoon Wind Hazard Assessment Considering the Correlation among the Key Random Variables Using the Copula Method.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9 (2).
04023013-.
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Abstract
The probability distribution of typhoon key parameters is commonly incorporated into typhoon models to estimate the typhoon-induced wind speeds associated with certain return periods in typhoon-prone regions. In most studies that focus on the typhoon wind hazards of the southeast coastline of China, the typhoon key parameters are assumed to be independent. This paper develops a copula-based joint probability distribution for the typhoon key parameters to investigate its potential influence on the typhoon wind hazard on the southeast coastline of China. To this end, the best track typhoon data from the China meteorological administration are used to extract the key parameters of the typhoon. The analyses show that the observed correlation coefficients among the parameters could be larger than 0.4 at some locations on the considered coastline. The C-vine copula is then employed to establish the joint probabilistic model of these key parameters. Comparison between the observed and modeled joint probability distributions suggests the adequacy of the copula method-based probability distribution model. Then, a local track model and a typhoon wind field model are assembled to simulate the history of the typhoon-induced surface wind given the typhoon key parameters. Finally, Monte Carlo simulation is adopted to estimate the wind speed associated with 50- and 100-year return periods. Results show that neglecting the correlation among the typhoon key parameters could cause a relative difference of up to 7% at some locations on the coastline.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Typhoon, Joint probability distribution, Copula method, Wind hazard, Correlation |
| Divisions: | Faculty of Science and Engineering > School of Engineering |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 24 Apr 2023 07:33 |
| Last Modified: | 15 Mar 2024 05:26 |
| DOI: | 10.1061/ajrua6.rueng-1018 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3169891 |
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