干旱区研究 ›› 2012, Vol. 29 ›› Issue (4): 674-680.

• 气候及气候变化 • 上一篇    下一篇

1960-2009年甘肃省极端气温的变化

 汪宝龙1, 张明军1, 魏军林2, 黄小燕1, 王圣杰1   

    1. 西北师范大学地理与环境科学学院,甘肃 兰州 730070;
    2. 四川省金科成地理信息技术有限公司,四川 成都 610041
  • 收稿日期:2011-03-18 修回日期:2011-06-14 出版日期:2012-07-15 发布日期:2012-09-11
  • 通讯作者: 张明军.E-mail: mjzhang2004@163.com
  • 作者简介:汪宝龙(1973-),男,甘肃天水人,硕士研究生,主要从事全球环境变化方面的研究工作.E-mail: wangbaolong689@163.com
  • 基金资助:

    教育部新世纪优秀人才支持计划(NCET-10-0019);国家自然科学基金项目(40701035);陇原青年创新人才扶持计划项目;西北师范大学知识与科技创新工程创新团队项目(NWNU-KJCXGC-03-66)和科研骨干培育项目(NWNU-KJCXGC-03-78)

Study on Change of Extreme Temperatures in Gansu Province during the Period of 1960-2009

 WANG  Bao-Long1, ZHANG  Ming-Jun1, WEI  Jun-Lin2, HUANG  Xiao-Yan1, WANG  Sheng-Jie1   

  1. 1. College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, Gansu, China;
    2.   Sichuan JKC Geographical Information and Technology Co., Ltd , Chengdu 610041, Sichuan, China
  • Received:2011-03-18 Revised:2011-06-14 Online:2012-07-15 Published:2012-09-11

摘要: 利用1960-2009年甘肃省26个气象站的气温资料,采用线性倾向估计法、反距离加权法、Mann-Kendall突变检测法,分析甘肃省50 a来极端气温事件的时空间变化。结果表明:甘肃省极端气温的年代变化趋势基本一致;年际变化极端高温呈增加(上升)趋势,极端低温呈减少(下降)趋势;在空间分布上大部分地区极端高温呈增加(上升)趋势,极端低温呈减少(下降)趋势,但空间差异明显。另外,甘肃省近50 a来极端气温指数发生了明显的突变(通过0.05的置信度检验)。

关键词: 极端气温, 空间分布, 年际变化, 甘肃省

Abstract: In this paper, the methods of regression analysis, inverse distance weighted and Mann-Kendall test were used to analyze the temporal and spatial variation of extreme temperature events in Gansu Province based on the daily and annual temperature data observed by 26 meteorological stations in the province during the period from 1960 to 2009. The thresholds of the extreme high temperature days and the extreme low temperature days at these stations were determined. Results indicated that the decadal trend of extreme temperature at these stations was basically similar, the annual extreme high temperature was in a slight increase, but the extreme low temperature was in a slight decrease. In spite of the above mentioned main trends in most regions, the spatial distribution differences were obvious. In addition, an obvious sharp change of extreme temperature indexes occurred in Gansu Province in recent 50 years.

Key words: extreme temperature, spatial distribution, decadal variation, Gansu Province