地理学报 ›› 2022, Vol. 77 ›› Issue (7): 1713-1729.doi: 10.11821/dlxb202207010

• 气候变化与星球地貌 • 上一篇    下一篇

2001—2020年中国地表温度时空分异及归因分析

田浩1,2,3(), 刘琳1,2(), 张正勇1,2, 陈泓瑾1,2, 张雪莹1,2, 王统霞1,2, 康紫薇1,2   

  1. 1.石河子大学,石河子 832000
    2.绿洲城镇与山盆系统生态兵团重点实验室,石河子 832003
    3.现代节水灌溉兵团重点实验室,石河子832003
  • 收稿日期:2021-11-22 修回日期:2022-05-13 出版日期:2022-07-25 发布日期:2022-09-13
  • 通讯作者: 刘琳(1981-), 女, 湖南衡东人, 副教授, 硕士生导师, 主要从事GIS应用与资源环境遥感研究。E-mail: liulin779@163.com
  • 作者简介:田浩(1996-), 男, 江苏盐城人, 博士生, 主要从事GIS分析及地学应用研究。E-mail: haotian1996_china@163.com
  • 基金资助:
    国家自然科学基金项目(41461086);国家自然科学基金项目(41761108)

Spatiotemporal diversity and attribution analysis of land surface temperature in China from 2001 to 2020

TIAN Hao1,2,3(), LIU Lin1,2(), ZHANG Zhengyong1,2, CHEN Hongjin1,2, ZHANG Xueying1,2, WANG Tongxia1,2, KANG Ziwei1,2   

  1. 1. Shihezi University, Shihezi 832000, Xinjiang, China
    2. Key Laboratory of Oasis Town and Mountain-basin System Ecology of Xinjiang Bingtuan, Shihezi 832003, Xinjiang, China
    3. Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi 832003, Xinjiang, China
  • Received:2021-11-22 Revised:2022-05-13 Published:2022-07-25 Online:2022-09-13
  • Supported by:
    National Natural Science Foundation of China(41461086);National Natural Science Foundation of China(41761108)

摘要:

地表温度(LST)变化对陆面过程的能量收支平衡与生态系统稳定有着至关重要的影响。本文基于MOD11C3数据,使用回归分析、GIS空间分析、相关性分析及质心模型等方法,分析了中国2001—2020年LST变化及其时空分异格局;运用地理探测器识别中国38个生态地理分区下LST变化的主导因子,进而探寻其形成原因。结果表明:① 中国2001—2020年LST气候平均值为9.6 ℃,整体呈东南及西北干旱区高、东北及青藏高原低,平原高、山区低的基本格局;LST与海拔呈显著负相关,相关系数达-0.66;第一阶梯负相关性最为显著,相关系数达 -0.76,LST递减率为0.57 ℃/100 m;② 中国2001—2020年LST倾向率为0.21 ℃/10 a,升温区占国土面积的78%,整体呈现“多核式升温,轴线式降温”的空间特征;③ 中国LST及变化具有显著的季节性特征,冬、夏两季均温空间分布较其他季节的差异较大且波动更为明显;季节性升/降温区的质心轨迹呈环状,且运动呈现出对应的季节性反向轨迹,降温区质心移动幅度更大,说明降温区的区域差异性和季节变异性较大;④ 中国LST变化由自然影响与人类活动共同驱动,其中自然因素贡献更大,日照时数和海拔是关键因子;两大主导类型在空间分布上与“胡焕庸线”高度吻合,其以东区域多以人类活动强度为主导并与地形因子共同作用,而以西区域则多以自然因素为主,通过与气候、地形、植被等因子的相互耦合从而增强/削弱LST变化幅度。本文可为应对气候变化、解析地表环境模式、保护生态环境等方面提供科学参考。

关键词: 地表温度, 时空分异, 地理探测器, 主导因子, 中国

Abstract:

The variation of land surface temperature (LST) has a vital impact on the energy balance of the land surface process and the ecosystem stability. Based on MDO11C3, we used methods including regression analysis, GIS spatial analysis, correlation analysis, and center-of-gravity model, etc., to analyze the LST variation and its spatiotemporal diversity in China from 2001 to 2020. Finally, the Geodetector was used to identify the leading factors of LST variation in 38 eco-geographical zones of China, and explore the causes of its pattern. The results show that: (1) the average LST in China from 2001 to 2020 is 9.6 ℃, which is high in the plains, and low in the mountainous areas. Generally, LST has a striking negative correlation with altitude, with a correlation coefficient of -0.66. China's First Ladder has the most conspicuous negative correlation, with a correlation coefficient of -0.76 and the lapse rate of LST is 0.57 ℃/100 m. (2) The change rate of LST in China during the study period is 0.21 ℃/10 a, and the warming area accounts for 78%, showing the spatial characteristics of "multi-core warming and axial cooling" in general. (3) LST's variation has prominent seasonal characteristics in the whole country. The spatial distribution of average value in winter and summer is quite different and fluctuates obviously; the moving trajectory of the centroid in the warming/cooling area is close to a loop shape. The movement direction shows the corresponding seasonal reverse, and the movement range in the cooling zone is larger, indicating that the regional difference and seasonal variability of the cooling zone are more obvious. (4) China's LST variation is driven by natural conditions and human activities, of which natural factors contribute more, with sunshine hours and altitude being the key factors. The boundary trend between the two dominant type areas is highly consistent with the "Heihe-Tengchong Line". The easern region is mostly dominated by human activity intensity and interacts with terrain factors, while the western region is dominated by natural factors, which enhance/weaken the change range of LST through mutual coupling with the climate, terrain, vegetation, and other factors. This study can provide scientific references for dealing with climate change, analyzing surface environmental models, and protecting the ecological environment.

Key words: land surface temperature, spatiotemporal differentiation, geodetector, dominant factor, China