干旱区研究

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2021 , Vol. 38 >Issue 5: 1199 - 1206

DOI: https://doi.org/10.13866/j.azr.2021.05.01

天气与气候

基于地理探测器分析青藏高原降水δ18O空间分异特征

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  • 1. 中国科学院青藏高原研究所 中国科学院青藏高原环境变化与地表过程重点实验室,北京 100101
    2. 中国科学院大学,北京 100049
    3. 中国科学院青藏高原地球科学卓越创新中心,北京 100101
席文涛（1996-）,男,硕士研究生,主要从事水稳定同位素循环过程研究. E-mail: xiwentao@itpcas.ac.cn

收稿日期: 2021-02-25

  修回日期: 2021-06-28

  网络出版日期: 2021-09-24

基金资助

国家自然科学基金面上项目(41871068);国家自然科学基金优秀青年科学基金项目(41922002)

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Spatial heterogeneity of annual precipitation δ18O over the Tibetan Plateau based on the use of a geographical detector

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  • 1. Key laboratory of Tibetan Environment Changes and Land Surface Process, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China

Received date: 2021-02-25

  Revised date: 2021-06-28

  Online published: 2021-09-24

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摘要

地理探测器是研究地理现象的空间分异性,并且定量分析其驱动因子的一种统计方法。利用地理探测器方法对青藏高原24个站点的降水δ18O年均值进行了分析,该方法可在一定程度上反映青藏高原降水δ18O年均值的空间分异性,得出纬度、海拔、经度和降水量对青藏高原降水δ18O年均值空间分异的解释力分别为0.82、0.71、0.57和0.49,温度对青藏高原降水δ18O年均值空间分异的解释力不显著;因子之间的共同作用增强了降水δ18O年均值在空间上的分异性。讨论了青藏高原站点降水δ18O年均值与纬度、经度、海拔、年降水量和年均温之间的关系,并对降水δ18O主控因子的季节变化进行分析,得出纬度对青藏高原降水δ18O年均值、夏季均值和冬季均值空间分异的解释力均为最强。

关键词： 青藏高原; 降水δ18O; 空间分异性; 地理探测器

本文引用格式

席文涛,高晶 . 基于地理探测器分析青藏高原降水δ18O空间分异特征[J]. 干旱区研究, 2021 , 38(5) : 1199 -1206 . DOI: 10.13866/j.azr.2021.05.01

Abstract

The annual precipitation δ18O from 24 stations over the Tibetan Plateau was analyzed based on the use of a geographical detector, which was applied to probe the spatial heterogeneity of precipitation δ18O and to quantitatively understand the drivers. This method was used to successfully reflect the spatial heterogeneity of the annual precipitation δ18O over the Tibetan Plateau. The latitude, altitude, longitude, and precipitation amounts respectively explained 0.82, 0.71, 0.57, and 0.49 of the spatial variation in annual precipitation δ18O. Additionally, the combined effects of different factors enhanced the explanation of spatial variation. The possible influences of latitude, precipitation amount, altitude, and temperature on annual precipitation δ18O and seasonal variations in influential factors that cause the spatial heterogeneity of precipitation δ18O were discussed. We conclude that latitude has the strongest explanatory power in relation to the spatial heterogeneity of annual, summer, and winter mean precipitation δ18O over the Tibetan Plateau.

Key words： Tibetan Plateau; precipitation δ18O; spatial heterogeneity; geographical detector

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