基于GNSS-IR和原位热液监测的青藏高原多年冻土地面变形细节与机制

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Wei Chen, Lingxiao Wang, Lin Zhao, Wei Wan, Shibo Liu, Chong Wang, Lewen Zhao, Guangyue Liu, Defu Zou, Chengjia Liang, Yuanwei Wang, Chenqi Huang
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引用次数: 0

摘要

本研究采用全球卫星导航系统干涉反射(GNSS-IR)技术,结合原位热液数据,探讨青藏高原腹地多年冻土地表变形的细节和机制。通过分析2021年11月至2024年4月收集的GNSS数据,确定了由活跃层冻融循环引起的高达约5厘米的季节性变形。此外,2年多的连续监测显示,由于永久冻土融化,地面沉降率每年为2.7厘米。将GNSS-IR监测的变形与利用5 ~ 220 cm深度土壤水分和温度剖面模拟的变形进行比较,发现活动层解冻和冻结期的相关系数达到0.9;我们还观察到,在一个异常的解冻季节之后,随后的解冻季节经历了明显更大的解冻沉降。在此基础上,分析了未纳入北斗卫星导航系统(BDS)信号与纳入北斗卫星导航系统(BDS)信号的GNSS-IR监测结果差异,发现纳入北斗卫星导航系统(BDS)信号使GNSS-IR监测结果标准差在无雪期平均降低0.24 mm,在积雪期平均增加0.12 mm。这可能是由于BDS信号的波长较长,与其他卫星系统相比,它在雪中表现出更大的衍射,并降低了信号反射率。研究结果表明,GNSS-IR连续地表变形监测在揭示和探索气候变化条件下冻土热液过程中的潜力和能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Details and Mechanisms of Permafrost Ground Deformation on the Tibetan Plateau Revealed by GNSS-IR and In Situ Hydrothermal Monitoring

This study employs the Global Navigation Satellite System-Interferometric Reflectometry (GNSS-IR) technique, along with in situ hydrothermal data, to explore the details and mechanisms of permafrost ground surface deformation in the hinterland Tibetan Plateau. Through analyzing GNSS data collected from November 2021 to April 2024, seasonal deformation of up to approximately 5 cm, caused by active layer freeze-thaw cycles, was identified. Additionally, more than 2 years of continuous monitoring revealed a clear ground subsidence rate of 2.7 cm per year due to permafrost thawing. We compared the GNSS-IR monitored deformation with simulated deformation using in situ soil moisture and temperature profiles at 5–220 cm depth and found that the correlation reached 0.9 during the active-layer thawing and freezing period; we also observed that following an exceptionally thawing season, the subsequent thawing season experiences notably greater thaw subsidence. Furthermore, we analyzed the differences in GNSS-IR monitoring results with and without the inclusion of Beidou Navigation Satellite System (BDS) signals, and found that the inclusion of BDS signals reduced the standard deviation of GNSS-IR results by an average of 0.24 mm on snow-free periods, but increased by an average of 0.12 mm during the snow cover periods. This may be due to the longer wavelength of the BDS signal, which exhibits greater diffraction through snow and reduces signal reflectivity compared to other satellite systems. The research results demonstrate the potential and ability of continuous GNSS-IR ground surface deformation monitoring in revealing and exploring the hydrothermal processes within permafrost under climate change.

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来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
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