羌塘高原极大陆型冰川厚度分布模拟 与冰储量估算

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  • (1. 青海理工学院 生态与环境科学学院,青海 西宁 810000;2. 青海省高原气候变化及其生态环境效应 重点实验室,青海 西宁 810000;3. 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;4. 云南师范大学 地理学部,云南 昆明 650500; 5. 云南大学 国际河流与生态安全研究院,云南 昆明 650500)
梁鹏斌(1993-),讲师,主要从事冰冻圈动态变化及气候效应研究. E-mail:pbliang@qhnu.edu.cn

网络出版日期: 2024-07-04

基金资助

青海省“昆仑英才”人才引进科研项目(编号:2023-QLGKLYCZX-001);青海理工学院新进教师硕博论文延伸计划项目(编 号:2023011wys007)资助.

Ice Thickness Simulation and Storage Estimation of the Extreme- Glaciers in the Qiangtang Plateau

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  • (1. Faculty of Ecology and Environmental Sciences, Qinghai Institute of Technology, Xining 810000, China; 2. Qinghai Provincial Key Laboratory of Plateau Climate Change and Corresponding Ecological and Environmental Effects, Xining 810000, China; 3. Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; 4. Faculty of Geography, Yunnan Normal University, Kunming 650500, China; 5. Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China)
LIANG Pengbin, Lecturer, research area includes cryospheric dynamics and climate effects. E-mail: pbliang@qhnu.edu.cn

Online published: 2024-07-04

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); The Researcher Development program of Qinghai Institute of Technology (Grant No.2023011wys007).

摘要

冰川厚度与储量是未来冰川变化预测、可用淡水资源估计以及潜在海平面上升评估等冰 川学研究的前提。基于我国西部31 条冰川实测探地雷达厚度数据对GlabTop2 冰厚模型进行参数 校正和优化,模拟羌塘高原冰川厚度分布并评估冰川水资源总量,结果表明:①GlabTop2 模型模拟 的冰川平均厚度与实测平均厚度较接近,两者相关性为0.87,RMSE 为18.2 m,模型对冰川厚度的 高估和低估分别为9% 和-17%,模型模拟冰川中流线基岩地形形状的能力优于剖面基岩形状; ②2022 年羌塘高原冰川储量为(177.6±26.6) km3,平均冰川厚度为(88.2±12.3)m,冰储量集中分布 在5 600~6 200 m,为(148.28±22.24)km3,占整个羌塘高原冰川总储量的84.4%,其余高程带冰储量 分布相对较少。

本文引用格式

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, 0 : 1 . DOI: 10.11867/j.issn.1001-8166.2024.050.

Abstract

Abstract:Ice thickness and storage are the prerequisites for glaciological studies such as predicting future glacier changes, estimating available freshwater resources, and assessing potential sea level rise. Based on ground-penetrating radar (GPR) thickness data from 31 glaciers in western China, parameters of the GlabTop 2 (Glacier Bed Topography) model was calibrated and optimized. The simulation of ice thickness on the Qiangtang Plateau and the assessment of the total amount of glacier water resources reveal the following results: ①The average ice thickness simulated by the GlabTop2 model closely matches the measured average thickness, with a correlation of 0.87 and an RMSE of 18.2 m. Overestimation and underestimation of ice thickness by the model are 9% and -17% respectively. The ice thickness distribution along flow is better captured than the distribution across flow; ②The GlabTop2 model estimates that the ice storage of glaciers on the Qinghai-Xizang Plateau in 2022 is (177.6±26.6) km3, with an average ice thickness of (88.2±12.3) m. The glacier volume is mainly distributed between 5 600 and 6 200 m, amounting to (148.28±22.24) km3, which accounts for 84.4% of the total glacier volume of the Qiangtang Plateau. The glacier volume in other elevation bands is relatively small.
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