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干旱区地理 ›› 2022, Vol. 45 ›› Issue (3): 684-694.doi: 10.12118/j.issn.1000-6060.2021.317

• 气候变化 • 上一篇    下一篇

1981—2018年内蒙古典型草原季节性冻土对气候变化的响应

苏玥1,张存厚1,2(),阿木尔萨那3,李轲4   

  1. 1.内蒙古自治区气象灾害监测预警与人工影响天气中心,内蒙古 呼和浩特 010051
    2.内蒙古自治区生态与农业气象中心,内蒙古 呼和浩特 010051
    3.内蒙古自治区呼和浩特市气象局,内蒙古 呼和浩特 010000
    4.江苏省徐州市气象局,江苏 徐州 221000
  • 收稿日期:2021-07-13 修回日期:2021-10-26 出版日期:2022-05-25 发布日期:2022-05-31
  • 通讯作者: 张存厚
  • 作者简介:苏玥(1990-),女,在读硕士,工程师,主要从事气象灾害监测及预警研究. E-mail: 1493117872@qq.com
  • 基金资助:
    内蒙古自然科学基金项目(2019MS04006);内蒙古自治区科技计划项目(2021GG0020);内蒙古自治区科技计划重点项目(201 802123)

Response of seasonal frozen soil to climate change on a typical steppe of Inner Mongolia during 1981—2018

SU Yue1,ZHANG Cunhou1,2(), Amuersana3,LI Ke4   

  1. 1. Inner Mongolia Autonomous Region Meteorological Disaster Monitoring and Warning Center, Hohhot 010051, Inner Mongolia, China
    2. Inner Mongolia Autonomous Region Ecological and Agricultural Meteorology Center, Hohhot 010051, Inner Mongolia, China
    3. Hohhot Bureau of Meteorology, Hohhot 010000, Inner Mongolia, China
    4. Xuzhou Bureau of Meteorology, Xuzhou 221000, Jiangsu, China
  • Received:2021-07-13 Revised:2021-10-26 Online:2022-05-25 Published:2022-05-31
  • Contact: Cunhou ZHANG

摘要:

以1981—2018年内蒙古典型草原季节性冻土为研究对象,通过气候倾向率、Mann-Kendall法、多元线性回归等方法,分析最大冻土时空分布特征、年际、年代际变化,研究影响最大冻土深度变化的气象因子。结果表明:(1) 内蒙古典型草原季节性冻土冻结初日在9—11月,终日在4—6月,年内最大冻土深度出现在2—3月,深度在100~280 cm之间。(2) 最大冻土深度年际变化分为下开口抛物线型、上开口抛物线型、正弦曲线型,从最大冻土深度气候倾向率看呈现减小趋势的站点有68%。(3) 最大冻土深度年代际变化分为逐年代递减、减-增型和无明显变化规律,50%的站点在1989年以后最大冻土深度发生突变。(4) 多元线性回归表明气温冻结指数、年平均风速、年极端最低气温对最大冻土深度产生显著影响。该研究揭示了最大冻土深度存在退化的事实,为草原应对气候变化提供指导,为陆地土壤和大气碳循环交换的研究给出提示。

关键词: 季节性冻土, 气候变化, 典型草原, 多元线性回归

Abstract:

This study investigates patterns of seasonally frozen soil in the context of climate change and assesses meteorological factors affecting variations in maximum frozen soil depth. Spatial and temporal characteristics of maximum frozen soil depth were evaluated for an area of typical steppe in Inner Mongolia, northern China over the most recent 38 years (1981—2018). Interannual and interdecadal variations were analyzed statistically using climate tendency rate, cumulative distance level, Mann-Kendall methods, and multiple linear regression. Meteorological data such as temperature, wind speed and relative humidity were used to analyze potential controls on maximum frozen soil depth. The study found that, for seasonally frozen soil of the Inner Mongolian steppe: (1) Soil typically freezes from September-November and thaws from April-June, with a maximum frozen soil depth of 100-280 cm attained in February-March. (2) Interannual variations in maximum frost depth can be classified into three patterns (lower open parabolic, upper open parabolic, and sinusoidal), with 68% of stations showing a trend of decreasing depth over time. (3) Interdecadal variations can also be divided into three types (decreasing chronologically, decreasing then increasing, and no clear pattern), with 50% of stations recording progressively shallower depths before 1989 followed by a change to a trend of thickening with time. (4) Multiple linear regression suggests that temperature freezing index, annual mean wind speed, and annual extreme minimum temperature had significant effects on maximum frozen soil depth.

Key words: seasonal frozen soil, climate change, typical steppe, multi-variate linear regression