地理科学 ›› 2017, Vol. 37 ›› Issue (12): 1909-1916.doi: 10.13249/j.cnki.sgs.2017.12.015

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内蒙古大兴安岭林区极端气温事件变化特征

张秋良1(), 边玉明1, 代海燕2, 王冰1, 冯丽红3, 王美媛1   

  1. 1. 内蒙古农业大学林学院, 内蒙古 呼和浩特 010010
    2.内蒙古生态与农业气象中心, 内蒙古 呼和浩特 010051
    3. 红花尔基林业局资源管理调查队, 内蒙古 呼伦贝尔 021112
  • 收稿日期:2016-12-14 修回日期:2017-03-10 出版日期:2017-12-20 发布日期:2017-12-20
  • 作者简介:

    作者简介:张秋良(1960-),男,内蒙古呼和浩特人,教授,博导,主要从事森林资源经营管理与森林生态方向。E-mail:18686028468@163.com

  • 基金资助:
    国家重点研发计划项目(2017YFC0504003)、中国科学院野外站联盟项目(KFJ-SW-YW026)资助

Variation of Extreme Temperature Events in Daxing’anling Forest Region of Inner Mongolia

Qiuliang Zhang1(), Yuming Bian1, Haiyan Dai2, Bing Wang1, Lihong Feng3, Meiyuan Wang1   

  1. 1.Forestry College, Inner Mongolia Agricultural University, Hohhot 010010, Inner Mongolia, China
    2. Inner Mongolia Ecology and Agricultural Meteorology Centre, Hohhot 010051, Inner Mongolia, China
    3. Resource Management Investigation Team, Honghuaerji Forestry Bureau, Hulun Buir 021112, Inner Mongolia, China
  • Received:2016-12-14 Revised:2017-03-10 Online:2017-12-20 Published:2017-12-20
  • Supported by:
    National Key Research and Development Program (2017YFC0504003), Field Station Alliance Project of Chinese Academy of Sciences (KFJ-SW-YW026).

摘要:

利用内蒙古大兴安岭林区11个气象站1971~2014年日平均气温数据,采用线性趋势、Morlet小波分析、克里金插值法对内蒙古大兴安岭林区极端气温的年变化进行分析。研究表明:极端高温天气和生物生长季天数在20世纪80年代中期以后呈显著增多趋势,极端低温天气呈显著减少趋势;在空间分布上,所有站点极端高温天气和生物生长季天数呈上升趋势,极端低温天气呈下降趋势,但空间差异明显。极端低温天气主要受27、18、11、7 a时间尺度周期影响。极端高温天气28 a左右周期振荡最为强烈,视为第一主周期,对极端高温天气影响最为显著,在2018年以后的大约8 a间(2019~2026年)极端高温天气可能会更加频繁。生物生长季受28 a时间尺度周期影响,且在2015~2022年生物生长季天数增长处于偏大期。

关键词: 极端气温, Morlet小波, 年际变化, 大兴安岭林区

Abstract:

Under global climate warming, the frequent occurrence of extreme weather events has caused great economic losses, thus, as a scientific issue, researching on regional extreme climate change has remarkable significance. In this study, based on the daily temperature data of 11 meteorological stations from 1971 to 2014 in Inner Mongolia Daxing’anling forest region, analyzed the spatio-temporal characteristics of extreme hot weather, extreme cold weather and the biological growth season in recent 50 years, using the methods of Linear trend, Morlet wavelet, Mann-Kendall and Kriging interpolation. The results are as follows: In the last 44 years, the extreme hot temperature days and biological growth season were on the rise significantly(P<0.001), the rates of change were 7.6 d/10a and 3.1 d/10a respectively, especially increased with larger scales after the middle of 1980s. However, the extreme cold temperature days showed a downward trend(-5.4 d/10a), and after the mid 1990s, the trend became weaker. From the perspective of spatial distribution, the extreme hot weather days and biological growth season showed an upward trend at all sites, while the extreme cold weather days showed a downward trend, but the spatial difference was obvious. The extreme minimum temperature has 27 a, 18 a,11 a, 7 a periodic changes, that played a major role in the extreme low temperature weather, of these, 27 a cycle time scale was considered the first main period. The extreme maximum temperature contained the cyclical in a number of different time scales, the 28 years periodic oscillation was most strongly, was considered the first main period, and played the most significant effect on the extreme maximum temperature, over the next 8 years (2019-2026) extreme hot weather may be more frequent. The growth season mainly was affected by 28 a cycle time scale, and in 2015-2022 with a higher growth period. This result will provide a powerful scientific basis for revealing extreme climatic changes in high latitudes in China, and provide reference for forestry production, agricultural production and disaster prevention and reduction in Inner Mongolia Daxing’anling forest region.

Key words: extreme temperature, Morlet wavelet analysis, interannual variation, Daxing’anling forest region;

中图分类号: 

  • P426.6