地理科学进展

地理科学进展 ›› 2011, Vol. 30 ›› Issue (9): 1135-1142.doi: 10.11820/dlkxjz.2011.09.008

• 气候参数空间反馈 • 上一篇    下一篇

基于小波理论的广西低温阴雨灾害天气 波动特征

于文金, 阎永刚, 郝玲, 余恒鑫, 李芬   

  1. 南京信息工程大学大气科学学院,南京 210044
  • 收稿日期:2011-03-01 修回日期:2011-06-01 出版日期:2011-09-25 发布日期:2011-09-25
  • 作者简介:于文金(1968-),男,山东淄博人,教授,博士,研究方向为区域经济开发与可持续发展。已发表学术论文50 篇。E-mail: yuwj@nuist.edu.cn
  • 基金资助:

    国家自然科学基金项目(10672052);城市气象基金项目(08371048);淮河流域气象开放研究基金项目(HRM200802);河海灾害实验室开放基金项目(20090024)。

The Fluctuation of the Cold Weather Disasters in Guangxi Based on Wavelet Theory

YUWenjin, YAN Yonggang, HAO Ling, YU Hengxin, LI Fen   

  1. School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Received:2011-03-01 Revised:2011-06-01 Online:2011-09-25 Published:2011-09-25

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21

摘要： 基于广西4 个典型站点52 年气侯资料的Morlet 小波分析,对广西低温阴雨天气灾害波动频率规律进行研究,结果表明：①广西2-4 月平均气温逐渐增高,低温阴雨的年总天数逐渐减少,结束日期逐渐提前;②广西2-4 月平均气温变化存在30 年、18-19 年、12 年和3 年的振荡周期,其中30 年周期为温度变化的主控周期;低温阴雨年总天数变化存在30 年左右、10 年左右和2-5 年左右的振荡周期,主控周期南北分布不一致,由北向南,主控周期的尺度也逐渐变小;③广西2-4 月平均气温和低温阴雨总天数在大尺度(30 年)的振荡上表现出了一致性。研究表明,利用小波理论研究灾害天气波动规律具有很好的效果。

关键词: 波动, 低温阴雨, 广西, 小波分析

Abstract: Based on the analysis of the 52-year climatic data from four typical stations in Guangxi with the method of Morlet wavelet, the frequency features of the cold rainy weather in Guangxi have been investigated. The results show that (1) the average temperature between February and April in Guangxi increases gradually, the annual number of cold rainy days decreases gradually and the end dates of this kind of weather have become earlier; (2) the average temperature of Guangxi between February and April has the robust periods of 30 years, 18-19 years, 12 years and 3 years, and among them, the 30-year period is dominant. The annual number of cold rainy days has the robust periods of 30 years, 10 years and 2-5 years, but the dominant period is different meridionally with the value decreasing southward; (3) the robust period of the average temperature and the annual number of cold rainy days in Guangxi between February and April is consistent in the large-scale (30a) oscillations. These results show the advantage of the wavelet theory in the research on the frequency structure of the disaster weathers.

Key words: Guangxi, low-temperature rain, wavelet analysis, weather fluctuations