EN中文

PROGRESS IN GEOGRAPHY >

2011 , Vol. 30 >Issue 9: 1135 - 1142

DOI: https://doi.org/10.11820/dlkxjz.2011.09.008

Original Articles

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

Expand
  • School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

Received date: 2011-03-01

  Revised date: 2011-06-01

  Online published: 2011-09-25

Fold

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

Cite this article

YUWenjin, YAN Yonggang, HAO Ling, YU Hengxin, LI Fen . The Fluctuation of the Cold Weather Disasters in Guangxi Based on Wavelet Theory[J]. PROGRESS IN GEOGRAPHY, 2011 , 30(9) : 1135 -1142 . DOI: 10.11820/dlkxjz.2011.09.008

References

[1] 黄雪松, 李艳兰. 广西2007 年气候特点及其影响评价.气象研究与应用, 2008, 29(1): 23-28.

[2] 赵琳娜, 马清云, 杨贵名, 等. 2008 年初我国低温雨雪冰冻对重点行业的影响及致灾成因分析. 气候与环境研究, 2008, 13(4): 556-566.

[3] 陈雪霞. 2008 年初低温阴雨灾害对白沙县农业的影响及补救措施. 气象研究与应用, 2008, 29(4): 32-35.

[4] 王凌, 高歌, 张强, 等. 2008 年1 月我国大范围低温雨雪冰冻灾害分析Ⅰ. 气候特征与影响评估. 气象, 2008, 34(4): 95-100.

[5] 黄露菁. 广东省低温阴雨天气的气候特征和类型. 中山大学学报: 自然科学版, 1999, 138(13): 104-108.

[6] 钟利华, 况雪源. 广西春季低温阴雨预测概念模型. 广西气象, 2000, 21(S1): 31-35.

[7] 况雪源, 谢少凤. 广西低温阴雨结束期分布特征及其预报. 广东气象, 2000, 16(4): 353-359.

[8] 孙延奎. 小波分析及其应用. 北京: 机械工业出版社,2005: 51-72.

[9] Mahrt L. Eddy Asymmetry in the Sheared Heated BoundaryLayer. Journal of the Atmospheric Sciences, 1991, 48(3): 472-492.

[10] Gamage N, Blumen W. Comparative analysis of low-levelcold fronts: Wavelet, fourier, and empirical orthogonalfunction decomposition. Monthly Weather Review, 1993,121(10): 2867-2878.

[11] Gao W, Li B L. Wavelet Analysis of Coherent Structuresat the Atmosphere-Forest Interface. Journal of AppliedMeteorology, 1993, 32(11): 1717-1725.

[12] Gamage N, Hagelberg C. Detection and Analysis of Microfrontsand Associated Coherent Events Using LocalizedTransforms. Journal of the Atmospheric Sciences,1993, 50(5): 750-756.

[13] Kuma P, Foufoula-Georgiou E. A new look at rainfallfluctuations and scaling properties of spatial rainfall usingorthogonal wavelets. Journal of Applied Meteorology,1993, 32(2): 209-222.

[14] Tian J W, Xu J S, Wei E B. The wavelet analysis of satellitesea surface temperature in the South China Sea andthe Pacific Ocean. Chinese Science Bulletin, 2000, 45(1):1-5.

[15] Huang C F, Inoue H. Soft risk maps of natural disastersand their applications to decision -making. InformationSciences, 2007, 177(7): 1583-1592.

[16] Steel E A, Lange I A. Using wavelet analysis to detectchanges in water temperature regimes at multiple scales:effects of multi-purpose dams in the Willamette River basin.River Research and Applications, 2007, 23(4):351-359.

[17] 匡正, 季仲贞, 林一骅. 华北降水时间序列资料的小波分析. 气候与环境研究, 2000, 5(3): 312-317.

[18] 姜晓艳, 刘树华,等. 东北地区近百年降水时间序列变化规律的小波分析. 地理研究, 2009, 28(2): 345-362.

[19] 万明波, 程智, 王文. 青藏铁路沿线气温和降水的小波分析. 干旱气象, 2006, 24(4): 35-39.

[20] 罗光坤. Morlet 小波变换理论与应用研究及软件实现

[D]. 南京: 南京航空航天大学, 2007.

[21] 张志涌. 精通MATLAB6.5. 北京: 航空航天大学出版社, 2003.

[22] 高辉, 陈丽娟, 贾小龙, 等. 2008 年1 月我国大范围低温雨雪冰冻灾害分析Ⅱ: 成因分析. 气象, 2008, 34(4):101-105.

[23] 陶诗言, 卫捷. 2008 年1 月我国南方严重冰雪灾害过程分析. 气候与环境研究, 2008, 13(4): 337-350.

[24] 杨贵名, 孔期, 毛冬艳, 等. 2008 年初“低温雨雪冰冻”灾害天气的持续性原因分析. 气象学报, 2008, 66(5):836-849.

[25] 林萍, 陈道松, 冯文. 2008 年海南罕见长“低温阴雨”天气过程成因分析. 热带作物学报, 2009, 30(10):1546-1553.

[26] 胡爱军, 李宁, 祝燕德, 等. 论气象灾害综合风险防范模式: 2008 年中国南方低温雨雪冰冻灾害的反思. 地理科学进展, 2010, 29(2): 159-165.

[27] 容新尧, 杨修群. 全球海洋环流模式中上层海洋对表面强迫的响应和调整,Ⅱ: 年代际变率. 海洋学报, 2005, 27(3): 20-31.

[28] 朱益民, 杨修群. 太平洋年代际振荡与中国气候变率的联系. 气象学报, 2003, 61(6): 641-654.

[29] 黄嘉佑, 胡永云. 中国冬季气温变化的趋向性研究. 气象学报, 2006, 64(5): 614-622.
Options
Outlines

/

〈 〉