气候变化领域集成服务门户(CCPortal): Predicting the Soil Freezing Characteristic From the Particle Size Distribution Based on Micro-Pore Space Geometry

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DOI	10.1029/2021WR030782
	Predicting the Soil Freezing Characteristic From the Particle Size Distribution Based on Micro-Pore Space Geometry
	Wang, Chong; Li, Shuangyang; Lai, Yuanming; Chen, Qian; He, Xiaojia; Zhang, Hao; Liu, Xiaoyu
通讯作者	Li, SY (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou, Peoples R China.
发表日期	2022
ISSN	0043-1397
EISSN	1944-7973
卷号	58 期号:1
英文摘要	Knowledge of freezing characteristic of a porous media is necessary to investigate heat and water transfers in cold regions. The unfrozen water content of soil-water system is affected by its complicated internal characteristics and external factors such as temperature and pressure. Although various experimental and analytical methods have been proposed to explore the complex relation between unfrozen water and temperature, most of them are empirical or limited. In this study, a sphere-cylinder dual structure is proposed according to surface adsorption and double electrical layer effect, and then a theoretical upscaling framework is presented based on particle size distribution and the Clapeyron equation. The proposed model predicts the freezing characteristic in soil-water systems from a new pore structure considering the micro-pore space geometry. In order to evaluate the new model, 21 data sets from literature and two data sets from nuclear magnetic resonance (NMR) tests in this study are used to compare with predicted results, and excellent match is obtained. The improved method has an advantage in predicting unfrozen water content at lower temperatures. In addition, from the soil freezing characteristic curve, it can be found that the residual unfrozen water contents are positively associated with clay content. Moreover, in low temperature range, T-2 cut-off value decreases with the decrease of temperature. As a fundamental study, the soil freezing characteristic researched in this study is helpful for the research on the hydraulic conductivity of frozen soil, which is significance for the stability analysis in cold region engineering, and the hydro-ecological process in seasonal frozen soil area.
关键词	UNFROZEN WATER-CONTENT FROZEN SOIL CHARACTERISTIC CURVE POROUS-MEDIA HYDRAULIC CONDUCTIVITY PHASE-COMPOSITION MODEL PERMAFROST ICE PORE
英文关键词	particle size distribution; pore size distribution; unfrozen water content; nuclear magnetic resonance; Clapeyron equation
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS类目	Environmental Sciences ; Limnology ; Water Resources
WOS记录号	WOS:000751310200055
来源期刊	WATER RESOURCES RESEARCH
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254485
作者单位	[Wang, Chong; Chen, Qian; Zhang, Hao; Liu, Xiaoyu] Lanzhou Univ, Key Lab Mech Disaster & Environm Western China, Minist Educ China, Lanzhou, Peoples R China; [Wang, Chong; Chen, Qian; Zhang, Hao; Liu, Xiaoyu] Lanzhou Univ, Sch Civil Engn & Mech, Lanzhou, Peoples R China; [Li, Shuangyang; Lai, Yuanming] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou, Peoples R China; [He, Xiaojia] Adm Ctr Chinas Agenda 21, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chong,Li, Shuangyang,Lai, Yuanming,et al. Predicting the Soil Freezing Characteristic From the Particle Size Distribution Based on Micro-Pore Space Geometry[J]. 中国科学院西北生态环境资源研究院,2022,58(1).
APA	Wang, Chong.,Li, Shuangyang.,Lai, Yuanming.,Chen, Qian.,He, Xiaojia.,...&Liu, Xiaoyu.(2022).Predicting the Soil Freezing Characteristic From the Particle Size Distribution Based on Micro-Pore Space Geometry.WATER RESOURCES RESEARCH,58(1).
MLA	Wang, Chong,et al."Predicting the Soil Freezing Characteristic From the Particle Size Distribution Based on Micro-Pore Space Geometry".WATER RESOURCES RESEARCH 58.1(2022).