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Typhoon hazard assessment at the site-specific scale based on the probability density evolution method and its application on the southeast coast of China.

Authors :
Hong, Xu
Li, Jie
Source :
SCIENCE CHINA Technological Sciences; Jan2023, Vol. 66 Issue 1, p86-100, 15p
Publication Year :
2023

Abstract

Herein, a typhoon hazard assessment method at the site-specific scale is proposed. This method integrates the nonlinear three-dimensional wind field model and the probability density evolution method. At the site-specific scale, the track of a typhoon near the engineering site is approximated via a straight line. The wind field model is utilized to calculate the wind speed at the surface given the gradient wind field at the top of the boundary layer. A comparison between the simulated and observed wind histories for Typhoon Hagupit that made landfall in Guangdong Province demonstrates the fidelity of the wind field model. The probability density evolution method is utilized to calculate the propagation of the randomness from the basic random variables toward the extremities of the typhoon surface wind. To model the probability distribution of the basic random variables, several candidate distributions are considered to fit the observations. Akaike information criterion and Anderson-Darling distance are used for selecting the preferred probability distribution model. The adequacy of the probability density evolution method in assessing typhoon hazards is verified by comparing the results with those generated by Monte Carlo simulations. The typhoon wind hazards estimated by the present study are compared with those proposed by other studies and the design code, and the differences are analyzed and discussed. The results of the proposed method provide the reasonable probabilistic model for the assessment of the structural reliability and the improvement of community resilience in the typhoon-prone areas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16747321
Volume :
66
Issue :
1
Database :
Complementary Index
Journal :
SCIENCE CHINA Technological Sciences
Publication Type :
Academic Journal
Accession number :
161348526
Full Text :
https://doi.org/10.1007/s11431-021-2067-x