Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021WR030782 |
Predicting the soil freezing characteristic from the particle size distribution based on micro-pore space geometry | |
Chong Wang; Shuangyang Li; Yuanming Lai; Qian Chen; Xiaojia He; Hao Zhang; Xiaoyu Liu | |
2021-12-15 | |
发表期刊 | Water Resources Research
![]() |
出版年 | 2021 |
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 2 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, T2 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. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/344161 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Chong Wang,Shuangyang Li,Yuanming Lai,et al. Predicting the soil freezing characteristic from the particle size distribution based on micro-pore space geometry[J]. Water Resources Research,2021. |
APA | Chong Wang.,Shuangyang Li.,Yuanming Lai.,Qian Chen.,Xiaojia He.,...&Xiaoyu Liu.(2021).Predicting the soil freezing characteristic from the particle size distribution based on micro-pore space geometry.Water Resources Research. |
MLA | Chong Wang,et al."Predicting the soil freezing characteristic from the particle size distribution based on micro-pore space geometry".Water Resources Research (2021). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论