地球科学进展 doi: 10.11867/j.issn.1001-8166.2026.020

   

融合OGGM模型与探地雷达数据的羌塘2号冰川厚度分布模拟及冰储量变化预估
崔天瑞1,2,梁鹏斌2*,张乐乐1,田立德3,高永鹏3,牟建新4   
  1. (1. 青海师范大学 地理科学学院,青海 西宁 810008;2. 青海理工学院 生态与环境科学学院,青海 西宁 810016;3.云南大学 国际河流与生态安全研究院,云南 昆明 650500;4.中国科学院西北生态环境资源研究院 冰冻圈科学与冻土工程重点实验室,甘肃 兰州 730000)
  • 基金资助:
    青海省“昆仑英才”人才引进科研项目(编号:2023-QLGKLYCZX-001)资助.

Simulation of Ice Thickness Distribution and Volume Change Estimation for Qiangtang No. 2 Glacier by Integrating the OGGM Model with Ground-Penetrating Radar Data

Cui Tianrui1,2, Liang Pengbin2*, Zhang Lele1, Tian Lide3,Gao Yongpeng3, Mu Jianxin4#br#   

  1. (1. College of Geographical Science, Qinghai Normal University, Xining 810008, China; 2. School of Ecology and Environmental Science, Qinghai Institute of Technology, Xining 810016, China;3. Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500,China; 4. Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)
  • Published:2026-03-01
  • About author:Cui Tianrui, research areas include cryospheric dynamics and climate effects. E-mail: Trevglacier@163.com
  • Supported by:
    Project supported by the Top-notch Talent of the Qinghai Province ‘Kunlun Talent. High-end Innovation and Entrepreneurship Talent’ Program (Grant No. 2023-QLGKLYCZX-001).
冰川厚度是评估冰川动态和预测其未来演变对气候强迫响应所需的一个基础参数,亦是决定区域水资源供给量和维系生态系统稳定性的关键指标。羌塘高原作为青藏高原核心区域及“亚洲水塔”的重要组成部分,其冰川储量变化对区域水资源安全与生态环境稳定具有重要影响。集成探地雷达实测数据与全球冰川开放模型(OGGM),对羌塘2号冰川厚度空间分布进行模拟并估算冰储量,进一步结合CMIP6的3种共享社会经济路径气候情景数据,对其未来变化趋势进行预估。结果表明,羌塘2号冰川平均厚度为87.7m,冰储量约为0.331km3。未来情景预估显示,在SSP1-2.6情景下,2020—2100年冰川面积预计减少73.3%;在SSP3-7.0和SSP5-8.5情景下,羌塘2号冰川预计将在2080年前后基本消融殆尽。研究结果可为羌塘高原地区冰川水资源变化评估提供科学依据,并有助于深化对极大陆型冰川演变过程及气候响应机制的认识。
Abstract: Glacier thickness is a fundamental parameter for evaluating glacier dynamics and predicting their future evolution under climate forcing. It is also a key indicator for determining regional water resource supply and maintaining ecosystem stability. As a core region of the Qinghai – Tibet Plateau and an important component of the “Asian Water Tower,” the Qiangtang Plateau plays a crucial role in regional hydrology and ecological security. Changes in glacier storage in this region have significant implications for water resource availability and environmental stability. In this study, we integrated Ground Penetrating Radar (GPR) observations with the Open Global Glacier Model (OGGM) to reconstruct the spatial distribution of ice thickness for Qiangtang Glacier No. 2 and to estimate its total ice volume. Furthermore, future glacier evolution from 2020 to 2100 was projected using climate forcing data from three Shared Socioeconomic Pathway (SSP) scenarios of CMIP6. The GPR measurements revealed an average ice thickness of 107.1 m at the survey points, with a maximum thickness of 161.1 m at an elevation of 5 621.9 m. Building upon these observations, the OGGM simulation yielded an average glacier thickness of 87.7 m and an ice volume of approximately 0.331 km3. Comparative analysis showed a high correlation (0.9702) between the modeled and GPR-measured thicknesses, with a mean error of 3.2 m and a root mean square error of 18.52 m, indicating that OGGM performed with the highest accuracy among the models evaluated for this glacier. Future projections under the SSP1-2.6, SSP3-7.0, and SSP5-8.5 scenarios consistently indicate a sustained and pronounced retreat of the glacier. Mass thinning predominates through 2050, followed by significant area loss toward 2100. The SSP5-8.5 scenario shows the fastest decline, with the glacier effectively melting away by 2070. Under SSP3-7.0, retreat starts slowly but accelerates, resulting in losses of 97.9% in area and 98.7% in volume by 2100. Notably, even the low-forcing SSP1-2.6 scenario predicts a 73.3% area loss and a 96.7% volume reduction by 2100. The findings of this study provide a scientific basis for evaluating glacier water resource changes on the Qiangtang Plateau and contribute to improving the understanding of the evolution processes and climate responses of extreme-glaciers.

中图分类号: 

[1] 梁鹏斌, 牟建新, 高永鹏, 田立德, 李林涛. 羌塘高原极大陆型冰川厚度分布模拟与冰储量估算[J]. 地球科学进展, 2024, 39(7): 726-736.
[2] 武震,张世强,刘时银,杜文涛. 祁连山老虎沟12号冰川冰内结构特征分析[J]. 地球科学进展, 2011, 26(6): 631-641.
[3] 崔喜红,陈晋,关琳琳. 探地雷达技术在植物根系探测研究中的应用[J]. 地球科学进展, 2009, 24(6): 606-611.
[4] 武震,刘时银,张世强. 祁连山老虎沟12号冰川冰下形态特征分析[J]. 地球科学进展, 2009, 24(10): 1149-1158.
[5] 熊伟,杨婕,林而达,许吟隆. 未来不同气候变化情景下我国玉米产量的初步预测[J]. 地球科学进展, 2008, 23(10): 1092-1101.
[6] 范丽军;符淙斌;陈德亮;. 统计降尺度法对未来区域气候变化情景预估的研究进展[J]. 地球科学进展, 2005, 20(3): 320-329.
阅读次数
全文


摘要