# [1]刘聪,秦伟良,江志红.基于广义极值分布的设计基本风速及其置信限计算[J].东南大学学报(自然科学版),2006,36(2):331-334.[doi:10.3969/j.issn.1001-0505.2006.02.032] 　Liu Cong,Qin Weiliang,Jiang Zhihong.Computation of design basic wind velocity and its confidence limits based on generalized extreme value distribution[J].Journal of Southeast University (Natural Science Edition),2006,36(2):331-334.[doi:10.3969/j.issn.1001-0505.2006.02.032] 点击复制 基于广义极值分布的设计基本风速及其置信限计算() 分享到： var jiathis_config = { data_track_clickback: true };

36

2006年第2期

331-334

2006-03-20

## 文章信息/Info

Title:
Computation of design basic wind velocity and its confidence limits based on generalized extreme value distribution

1 南京信息工程大学大气科学系, 南京 210044; 2 东南大学经济管理学院, 南京 210096
Author(s):
1 Department of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
2 College of Economics and Management, Southeast University, Nanjing 210098, China

Keywords:

P425.6
DOI:
10.3969/j.issn.1001-0505.2006.02.032

Abstract:
Generalized extreme distribution(GED)model, which summarizes three gradually approximate distribution, i.e. Gumbel, Frechet and Weibull distribution, is introduced and the calculating formulas of GED’s parameters by using maximum likelihood estimate method are given. Furthermore, the computing methods of design basic wind velocity and its higher confidence limits are derived in this paper. Finally, the wind velocity data of Nantong observatory are used to verify the methods above-mentioned, and the likelihood ratio method and Kolmogorov statistic are used to test the fitness of the distribution. It is obtained that the distribution of yearly extreme wind velocity of the observatory is in keeping with Frechet distribution, and the experimental distribution form from samples basically coincides with the theoretical ones. Therefore, compared with the individual extreme distribution, the algorithm derived from GED model is obviously preferable.

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