主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2014, Vol. 30 ›› Issue (5): 146-152.doi:

• 快报 • 上一篇    

湖南省极端降水过程客观监测指标

廖玉芳 张剑明2  刘兵1,3  李英4  唐爱军5  段丽洁1   

  1. 1. 湖南省气候中心,湖南 长沙 410118;2. 株洲市气象局,湖南 株洲 412003; 3. 张家界市气象局,湖南 张家界 427000;4. 成都市军区空军气象中心,四川 成都 610041;5. 石门县气象局,湖南 石门 415300
  • 出版日期:2014-11-01 发布日期:2014-11-01

Objective definition of monitoring index for extreme precipitation processes in Hu’nan province

LIAO Yu-fang ZHANG Jian-ming2  LIU Bing1,3  LI Ying4  TANG Ai-jun5  DUAN Li-jie1
  

  1. 1. Hu’nan Climate Center, Changsha 410007, China; 2. Zhuzhou Meteorological Service, Zhuzhou 412000, China; 3. Zhangjiajie Meteorological Service, Zhangjiajie 427000, China; 4. Air Force Meteorological Centre in Chengdu, Chengdu 610041, China; 5. Shimen County Meteorological Service, Shimen 415300, China
  • Online:2014-11-01 Published:2014-11-01

摘要:

利用1981—2010年湖南省97个地面气象观测站降水观测资料,基于二阶求导和尖顶突变模型等方法,分别对短历时降水序列和过程降水序列进行时间突变分析。结果表明:不同时间的最大小时累积降水量在时间上的突变点分别为12.0 h、6.1 h;过程降水持续时间突变点分别为10.0 d、4.4 d,不同持续时间最大降水量占过程总降水量的百分比及最大降水量在时间序列上的突变点分别为10.0 d、4.6 d和10.0 d、4.9d。建立的湖南省极端降水过程客观监测指标为:连续1—6 h、12 h最大降水量,连续1—5 d、10 d最大降水量和过程累积降水量及降水持续时间。指标的适用性通过与农作物因洪涝灾害的受灾率、成灾率及单位面积粮食减产量的相关分析验证。

关键词: 极端降水, 突变, 过程监测, 指标

Abstract:

Based on daily precipitation data at 97 ground weather stations from 1981 to 2010 in Hu’nan province, mutations of short-time precipitation sequence and process precipitation sequence were analyzed by methods of a second-order derivative analysis and a Cusp catastrophe model analysis. The results indicate that the maximum hourly accumulated short-time precipitation has two mutation points and both occur in the point of 12.0 hours and 6.1 hours respectively, while process precipitation has also two mutation points and both occur in the point of 10.0 days and 4.4 days. Percentage of duration of the maximum precipitation to the total process precipitation has two mutation points and both appear in the point of 10.0 days and 4.6 days. Two mutation points of maximum precipitation occur in the point of 10.0 days and 4.9 days. Thus, we establish a series of monitoring index of extreme precipitation process in Hu’nan province, including 1-6 hours and 12 hours maximum continuous precipitation, 1-5 days and 10 days maximum continuous precipitation, accumulated precipitation process and precipitation duration. The indexes have been verified by correlation coefficients of monitoring indexes of extreme precipitation processes with afftected and suffering rate of crop flooding disaster, and reduction rate of crop yield per unit.

Key words: Extreme precipitation, Mutation, Processes monitoring, Index