湖北农业科学 ›› 2020, Vol. 59 ›› Issue (3): 71-78.doi: 10.14088/j.cnki.issn0439-8114.2020.03.014

• 资源·环境 • 上一篇    下一篇

三种聚类分析方法在湖南省气温和降水分区中的应用

李易芝1, 戴泽军2, 朱玉祥3, 罗伯良1, 邓剑波1   

  1. 1.湖南省气象科学研究所/气象防灾减灾湖南省重点实验室,长沙 410118;
    2.湖南省气象台,长沙 410118;
    3.中国气象局气象干部培训学院,北京 100081
  • 收稿日期:2019-05-15 发布日期:2020-05-11
  • 通讯作者: 戴泽军(1972-),男,湖南澧县人,正研级高级工程师,博士,主要从事天气预报相关工作, (电子信箱)dai_zejun@tom.com。
  • 作者简介:李易芝(1988-),女(藏族),青海平安人,工程师,硕士,主要从事灾害性气候诊断分析,(电话)13875876886(电子信箱) girl.lyz@163.com。
  • 基金资助:
    湖南省气象局预报业务能力建设专项(YBNL16-03-2); 湖南省自然科学基金项目(2017JJ3170)

Application of three cluster methods on regionalization of temperature and precipitation in Hunan province

LI Yi-zhi1, DAI Ze-jun2, ZHU Yu-xiang3, LUO Bo-liang1, DENG Jian-bo1   

  1. 1.Institute of Meteorological Science of Hunan Province/Key Laboratory of Preventing and Reducing Meteorological Disaster,Changsha 410118,China;
    2.Hunan Meteorological Observatory,Changsha 410118,China;
    3.China Meteorological Administration Training Centre,Beijing 100081,China
  • Received:2019-05-15 Published:2020-05-11

摘要: 利用1961—2015年湖南省90个台站的逐月气温、降水资料,用旋转经验正交函数(REOF)方法提取年平均气温和年总降水量的特征向量。在此基础上,采用K均值聚类法、样品系统聚类法、模糊C均值聚类法3种聚类分析方法进行分区,综合选出最合理的分区结果。结果表明,湖南省年平均气温分为4个区,分别为湘东北、湘西北及湘西、湘中、湘南及湘西南;年总降水量分为6个区,分别为湘西北、湘东北、湘西、湘西南、湘中、湘南。

关键词: 气候因子, 旋转经验正交函数, 聚类分析, 湖南省

Abstract: Based on the monthly temperature and precipitation data from 90 stations in Hunan province from 1961 to 2015, the eigenvectors of annual mean temperature and annual total precipitation were extracted by REOF method. Based on this, K-means clustering method, sample system clustering method and fuzzy C-means clustering method were used to partition, and the most reasonable partitioning results were selected. The results show that the annual average temperature in Hunan province is divided into four zones: northeastern Hunan, northwestern Hunan and western Hunan, central Hunan and southern Hunan, and southeastern Hunan; The precipitation in Hunan is divided into six zones: northwestern Hunan, northeastern Hunan, western Hunan, southwestern Hunan, central Hunan, and southern Hunan.

Key words: climatic factors, REOF, clustering analysis, Hunan province

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