Based on the landfall of typhoons in the past decade,the wind speed data taken from a South Chinese coastal airport area between 2012 and 2021 were categorized into normal wind climate samples and typhoon climate samples,and then the regularity of conversion coefficients of wind speeds at different time intervals in normal and typhoon climates was investigated.The results show that in a normal wind climate,the extreme wind speeds for monthly,seasonal and annual periods comply with the extreme value type I(Gumbel distribution).Additionally,statistically-derived conversion coefficients exhibit an exponential decrease law with time interval varying from 1 min to 60 min.Based on these findings,the conversion coefficient curves for monthly,seasonal and annual extreme wind speeds in a normal wind climate was constructed.In a typhoon climate,the time interval conversion coefficients reduce in smoothness with the decrease of typhoon intensity.The conversion coefficients for 3 s and 10 min are equivalent to the extreme type I(Gumbel distribution).Meanwhile,the conversion coefficients for 30 min and 10 min,as well as 1 h and 10 min are in line with the extreme type Ⅲ(Weibull distribution).There may be a margin of error ranging from 10%to 30%when the conversion coefficients was established for the time intervals of 3 s and 10 min in typhoon climates,if the formula for the conversion coefficient of normal winds was applied.The outcomes may be multiplied by the corresponding amplification factor for estimation approximation,or a conversion factor value of approximately 1.63 can be utilized directly.The findings of this study can provide guide for computing wind loads in varying weather conditions.
关键词
时距/极值风速/风速转换系数/良态风气候/台风气候
Key words
time interval/extreme wind speed/wind speed conversion coefficient/normal climate/typhoon climate
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基金项目
国家自然科学基金资助项目(52078503)
教育部重点实验室开放课题(2019ZDX008)
National Natural Science Foundation of China()
Key Laboratory Open Program of Ministry of Education()
维普
万方数据