Variations of soil thermal conductivity in the Three-River Source Region, Qinghai‒Xizang Plateau

IF 5.2 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Jia Liu , Dong-Liang Luo , Wen-Jie Lei , Fang-Fang Chen , Rui-Xia He , Cheng-Song Yang , Yan Lu , Shi-Zhen Li
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Abstract

The ongoing permafrost degradation in the Three-River Source Region (TRSR) poses serious threats to ecosystems, water resources, and infrastructure projects. As the China Water Tower and a vital barrier for the high-altitude ecological security of China, the TRSR is particularly vulnerable to such changes. The extent and severity of permafrost degradation are primarily governed by heat transfer dynamics, with soil thermal conductivity (STC) playing a crucial role in regulating thermal equilibrium. However, research on STC is hindered by insufficient in-situ measurements. To address this gap, we conducted in-situ measurements of STC at soil depths of 0–40 cm across 58 plots at 12 sites in the TRSR (244 records) during July and August 2023. The driving mechanisms influencing STC variations were further analyzed through laboratory experiments in September and October 2023. Spatially, STC increases from west to east and vertically with soil depth. Control experiments revealed that STC at negative temperatures is markedly higher than that at positive temperatures and increases with volumetric moisture content, particularly in inorganic soils, sand and loamy sand. This effect is more pronounced at subzero temperatures. Meanwhile, our results show that an artificial neural network model (R2 = 0.78, p < 0.0001) incorporating ten measured soil physical parameters, outperforms traditional theoretical and empirical models in predicting STC. These findings contribute to a deeper understanding of permafrost formation, evolution, and its responses to climate change in the TRSR.
青藏高原三江源区土壤热导率变化
三江源区多年冻土持续退化,对生态系统、水资源和基础设施建设构成严重威胁。作为中国水塔和中国高海拔生态安全的重要屏障,TRSR特别容易受到这种变化的影响。冻土退化的程度和严重程度主要受热传递动力学的影响,土壤导热系数在调节热平衡中起着至关重要的作用。然而,原位测量的不足阻碍了对STC的研究。为了解决这一空白,我们于2023年7月和8月在TRSR 12个站点(244条记录)的58个样地进行了0-40 cm土壤深度的STC原位测量。通过2023年9月和10月的室内实验,进一步分析了影响STC变化的驱动机制。从空间上看,STC随土层深度从西向东增加,纵向上随土层深度增加。对照试验结果表明,负温度条件下的STC显著高于正温度条件下的STC,且随着体积含水量的增加而增加,无机土、砂土和壤土中STC的增加最为明显。这种效应在零度以下的温度下更为明显。同时,我们的研究结果表明,人工神经网络模型(R2 = 0.78, p <;0.0001),结合十个实测土壤物理参数,在预测STC方面优于传统的理论和经验模型。这些发现有助于更深入地了解TRSR中永久冻土的形成、演化及其对气候变化的响应。
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来源期刊
Advances in Climate Change Research
Advances in Climate Change Research Earth and Planetary Sciences-Atmospheric Science
CiteScore
9.80
自引率
4.10%
发文量
424
审稿时长
107 days
期刊介绍: Advances in Climate Change Research publishes scientific research and analyses on climate change and the interactions of climate change with society. This journal encompasses basic science and economic, social, and policy research, including studies on mitigation and adaptation to climate change. Advances in Climate Change Research attempts to promote research in climate change and provide an impetus for the application of research achievements in numerous aspects, such as socioeconomic sustainable development, responses to the adaptation and mitigation of climate change, diplomatic negotiations of climate and environment policies, and the protection and exploitation of natural resources.
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