Impact of ENSO on typhoon wind hazard in the coast of southeast China

2018 ◽  
Vol 92 (3) ◽  
pp. 1717-1731
Author(s):  
Yu Chen ◽  
Zhongdong Duan
Keyword(s):  
Southeast China ◽  
Wind Hazard ◽  
Typhoon Wind

Typhoon wind hazard analysis for southeast China coastal regions

2011 ◽  
Vol 33 (4-5) ◽  
pp. 286-295 ◽  
Author(s):  
Y.F. Xiao ◽  
Z.D. Duan ◽  
Y.Q. Xiao ◽  
J.P. Ou ◽  
L. Chang ◽  
...  
Keyword(s):  
Hazard Analysis ◽  
Coastal Regions ◽  
Southeast China ◽  
Wind Hazard ◽  
Typhoon Wind

Typhoon wind hazard estimation by full-track simulation with various wind intensity models

2021 ◽  
Vol 218 ◽  
pp. 104792
Author(s):  
Mingfeng Huang ◽  
Qing Wang ◽  
Qiang Li ◽  
Renzhi Jing ◽  
Ning Lin ◽  
...  
Keyword(s):  
Wind Hazard ◽  
Hazard Estimation ◽  
Wind Intensity ◽  
Typhoon Wind ◽  
Track Simulation

scholarly journals Assessing Typhoon Wind Hazard : Development of Typhoon Nomogram

2017 ◽  
Vol 42 (4) ◽  
pp. 121-133
Author(s):  
Shota YAMASAKI ◽  
Hironori FUDEYASU ◽  
Masaya KATO ◽  
Tetsuya TAKEMI ◽  
Yasutomo KIYOHARA
Keyword(s):  
Wind Hazard ◽  
Typhoon Wind

scholarly journals Logic tree approach for probabilistic typhoon wind hazard assessment

2019 ◽  
Vol 51 (2) ◽  
pp. 607-617
Author(s):  
Young-Sun Choun ◽  
Min-Kyu Kim
Keyword(s):  
Hazard Assessment ◽  
Logic Tree ◽  
Wind Hazard ◽  
Tree Approach ◽  
Typhoon Wind

Analysis of typhoon wind hazard in Shenzhen City by Monte-Carlo Simulation

2019 ◽  
Vol 37 (6) ◽  
pp. 1994-2013 ◽  
Author(s):  
Yunxia Guo ◽  
Yijun Hou ◽  
Peng Qi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Shenzhen City ◽  
Wind Hazard ◽  
Typhoon Wind

scholarly journals Improvement of typhoon wind hazard model and its sensitivity analysis

2019 ◽  
Author(s):  
Yunxia Guo ◽  
Yijun Hou ◽  
Peng Qi
Keyword(s):  
Wind Speed ◽  
Pressure Profile ◽  
Hazard Model ◽  
Extreme Value ◽  
Return Periods ◽  
Extreme Value Distributions ◽  
Extreme Wind ◽  
Wind Hazard ◽  
Extreme Wind Speed ◽  
Typhoon Wind

Abstract. Typhoons are one of the most serious natural disasters that occur annually on China’s southeast coast. This paper describes a technique for analyzing the typhoon wind hazard based on the empirical track model. Existing simplified and non-simplified typhoon empirical track models are improved, and the improved tracking models are shown to significantly increase the correlation in regression analysis. We also investigate quantitatively the sensitivity of the typhoon wind hazard model. The effects of different typhoon decay models, the simplified and non-simplified typhoon tracking models, different statistical models for the radius to maximum winds (Rmax) and Holland pressure profile parameter (B), and different extreme value distributions on the predicted extreme wind speed of different return periods are all investigated. Comparisons of estimated typhoon wind speeds for 50-year and 100-year return periods under the influence of different factors are presented. The different models of Rmax and B are found to have greatest impact on the prediction of extreme wind speed, followed by the extreme value distributions, typhoon tracking models, and typhoon decay models. This paper constitutes a useful reference for predicting extreme wind speed using the empirical track model.

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