高级检索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

江淮地区极端降水特征及其变化趋势的研究

王静 余锦华 何俊琦

王静, 余锦华, 何俊琦. 江淮地区极端降水特征及其变化趋势的研究[J]. 气候与环境研究, 2015, 20(1): 80-88. doi: 10.3878/j.issn.1006-9585.2014.13222
引用本文: 王静, 余锦华, 何俊琦. 江淮地区极端降水特征及其变化趋势的研究[J]. 气候与环境研究, 2015, 20(1): 80-88. doi: 10.3878/j.issn.1006-9585.2014.13222
WANG Jing, YU Jinhua, HE Junqi. Study on Characteristics and Change Trend of Extreme Rainfall in the Jianghuai Region[J]. Climatic and Environmental Research, 2015, 20(1): 80-88. doi: 10.3878/j.issn.1006-9585.2014.13222
Citation: WANG Jing, YU Jinhua, HE Junqi. Study on Characteristics and Change Trend of Extreme Rainfall in the Jianghuai Region[J]. Climatic and Environmental Research, 2015, 20(1): 80-88. doi: 10.3878/j.issn.1006-9585.2014.13222

江淮地区极端降水特征及其变化趋势的研究

doi: 10.3878/j.issn.1006-9585.2014.13222
基金项目: 国家重点基础研究发展计划项目2012CB955903,江苏省高校自然科学研究重大项目13KJA170002,江苏高校优势学科建设工程项目

Study on Characteristics and Change Trend of Extreme Rainfall in the Jianghuai Region

  • 摘要: 利用1961~2011年江淮地区5~9月无缺测的71站逐日降水资料,做基于POT(Peaks-Over-Threshold)的广义Pareto 分布(GPD),研究江淮地区极端降水的分布特征及其变化趋势.结果表明:(1)皖赣交界处阈值最大,西北和东南部较小,且江淮大部分地区阈值的线性趋势系数为正,其中湖北东部和江西北部的站点,趋势达0.8 mm (10 a)-1以上,并通过了显著性水平0.01的MK(Mann-Kendall)检验.(2)江淮地区中东部多存在连续性极端降水,因此文中采用基于极值指数的自动分串技术获得近似独立的极值样本.(3)尺度参数大值区位于江淮南部,西北、东南以及淮河以北较小,且线性趋势系数在大部分地区均表现为正值,表明出现降水极大值的概率增加.(4)皖赣鄂交界处是极端降水发生概率大值区,而西北、东南及安徽中部地区较小,且极端降水在大部分地区有增加的趋势,特别是在大别山附近及河南东部,2年和20年重现水平的趋势分别达6 mm (10 a)-1和20 mm (10 a)-1以上.
  • [1] 蔡敏, 丁裕国, 江志红. 2007. 我国东部极端降水时空分布及其概率特征 [J]. 高原气象, 26 (2): 309-318. Cai Min, Ding Yuguo, Jiang Zhihong. 2007. Extreme precipitation experimentation over eastern China based on L-moment estimation [J]. Plateau Meteorology (in Chinese), 26 (2): 309- 318.
    [2] 程炳岩, 丁裕国, 张金铃, 等. 2008. 广义帕雷托分布在重庆暴雨强降水研究中的应用 [J]. 高原气象, 27 (5): 1004-1009. Cheng Bingyan, Ding Yuguo, Zhang Jinling, et al. 2008. Application of generalized Pareto distribution to the research of extreme rainfall of Chongqing[J]. Plateau Meteorology (in Chinese), 27 (5): 1004-1009.
    [3] Coles S G, Walshaw D. 1994. Directional modeling of extreme wind speeds [J]. Journal of the Royal Statistical Society, 43 (1): 139-157.
    [4] Coles S G. 2003. An Introduction to Statistical Modeling of Extreme Values [M]. Berlin: Springer-Verlag, 208pp.
    [5] 邓兰松, 郑丕锷. 2004. 平稳收益率序列的极值VaR研究 [J]. 数量经济技术经济研究, (9): 52-57. Deng Lansong, Zheng Pi'e. 2004. Studies of Value-at-Risk in the stationary return sequence based on extreme value theory [J]. Quantitative & Technical Economics (in Chinese), (9): 52-57.
    [6] 丁裕国, 郑春雨, 申红艳. 2008. 极端气候变化的研究进展 [J]. 沙漠与绿洲气象, 2 (6): 1-5. Ding Yuguo, Zheng Chunyu, Shen Hongyan. 2008. The research advance for extreme climate and its change [J]. Desert and Oasis Meteorology (in Chinese), 2 (6): 1-5.
    [7] Ferro C A T, Segers J. 2003. Inference for clusters of extreme values[J]. Journal of the Royal Statistical Society: Series B, 65 (2): 545-556.
    [8] Francisco J A, Jose A G, Maria C G. 2011. Peaks-over-threshold study of trends in extreme rainfall over the Iberian peninsula[J]. J. Climate, 24 (4): 1089-1105.
    [9] Hsing T. 1987. On the characterization of certain point processes [J]. Stochastic Processes and Their Applications, 26: 297-316.
    [10] Hosking J R M. 1990. L-moments-analysis and estimation of distributions using linear combinations of order-statistics [J]. Journal of the Royal Statistical Society. Series B. Methodological, 52 (1): 105-124.
    [11] Hosking J R M, Wallis J R. 1997. Regional Frequency Analysis: An Approach Based on L-moments [M]. New York: Cambridge University Press, 244pp.
    [12] IPCC. 2007. Climate Change 2007: The Physical Science Basis [M]. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY USA, 2007, 996pp.
    [13] 江志红, 丁裕国, 陈威霖. 2007. 21世纪中国极端降水事件预估[J]. 气候变化研究进展, 3 (4): 202-207. Jiang Zhihong, Ding Yuguo, Chen Weilin. 2007. Projection of precipitation extremes for the 21st century over China [J]. Advances in Climate Change Research (in Chinese), 3 (4): 202-207.
    [14] 江志红, 丁裕国, 朱莲芳, 等. 2009. 利用广义帕雷托分布拟合中国东部日极端降水的试验 [J]. 高原气象, 28 (3): 573-580. Jiang Zhihong, Ding Yuguo, Zhu Lianfang, et al. 2009. Extreme precipitation experimentation over eastern China based on generalized Pareto distribution [J]. Plateau Meteorology (in Chinese), 28 (3): 573-580.
    [15] Katz R W, Browns B G. 1992. Extreme events in a changing climate: Variability is more important than averages[J]. Climatic Change, 21 (3): 289-302.
    [16] Leadbetter M R, Weissman I, De Haan L, et al. 1989. On clustering of high values in statistically stationary series [R]. Centre for Stochastic Processes. Department of Statistics, University of North Carolina at Chapel Hill, Tech. Rep, 253.
    [17] Pickands III J. 1975. Statistical inference using extreme order statistics [J]. The Annals of Statistics, 3 (1): 119-131.
    [18] 田红, 李春, 张士洋. 2005. 近50年我国江淮流域气候变化 [J]. 中国海洋大学学报, 35 (4): 539-544. Tian Hong, Li Chun, Zhang Shiyang. 2005. The climate change in the Yangtze-Huaihe River valley over the past 50 years [J]. Periodical of Ocean University of China (in Chinese), 35 (4): 539-544.
    [19] 万仕全. 2010. 中国降水与温度极值的时空分布规律模拟 [D]. 兰州大学博士学位论文, 1-154. Wan Shiquan. 2010. The temporal and spatial distribution regularities simulation of precipitation and temperature extremes in China [D]. Ph. D. dissertation (in Chinese), Lanzhou University, 1-154.
    [20] 杨金虎, 江志红, 王鹏祥, 等. 2008. 中国年极端降水事件的时空分布特征 [J]. 气候与环境研究, 13 (1): 75-83. Yang Jinhu, Jiang Zhihong, Wang Pengxiang, et al. 2008. Temporal and spatial characteristic of extreme precipitation event in China [J]. Climatic and Environmental Research (in Chinese), 13 (1): 75-83.
    [21] 翟盘茂, 王萃萃, 李威. 2007. 极端降水事件变化的观测研究 [J]. 气候变化研究进展, 3 (3): 144-148. Zhai Panmao, Wang Cuicui, Li Wei. 2007. A review on study of change in precipitation extremes [J]. Advances in Climate Change Research (in Chinese), 3 (3): 144-148.
    [22] 赵旭. 2012. 广义Pareto分布的统计推断 [D]. 北京工业大学理学博士学位论文, 1-122. Zhao Xu. 2012. Statistic inference of generalized Pareto distribution [D]. Ph. D. dissertation (in Chinese), Beijing University of Technology, 1-122.
  • 加载中
计量
  • 文章访问数:  2996
  • HTML全文浏览量:  22
  • PDF下载量:  2349
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-12-13

目录

    /

    返回文章
    返回