Prediction of the Soil-Water Retention Curve of Loess Using the Pore Data from the Mercury Intrusion Technique
文献类型：期刊论文
| 作者 | Hou, Xiaokun1,2,3 |
| 刊名 | WATER
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 15期号:18页码:13 |
| 关键词 | soil-water characteristic curve mercury intrusion porosity pore size distribution pore connectivity |
| DOI | 10.3390/w15183273 |
| 英文摘要 | The soil-water characteristic curve (SWCC) is a crucial input parameter for describing the distribution of soil moisture and water movement in various environmental and geotechnical challenges. It is widely recognized that the SWCC is controlled by the soil's pore structure. Attempts to estimate the SWCC using pore data obtained through the mercury intrusion porosity (MIP) technique have been conducted. However, the performance of MIP estimation remains uncertain and requires further validation with experimental data. In this study, the accuracy of MIP estimation is validated using intact and compacted loess samples prepared at different water contents, specifically dry of optimum (8%), optimum (17%), and wet of optimum (19%). The results reveal that intact and dry of optimum specimens exhibit relatively good pore connectivity, with more point-to-point contacts between particles. Conversely, specimens compacted under optimum and wet of optimum conditions exhibit poor pore connectivity, with more isolated pores, particularly in the wet-of-optimum specimen. The SWCC predictions based on MIP data are accurate for intact and dry-of-optimum compacted specimens, but significant errors occur for the optimum and wet-of-optimum specimens. Prediction accuracy using MIP data is closely linked to the soil's pore connectivity. Despite a tenuous theoretical basis in the high suction range where adsorption forces dominate, a strong consistency between predictions and measured data across a wide suction range (e.g., 10-104 kPa) instills a high level of confidence in using MIP data to predict the wetting SWCC. The contact angle required for the prediction is suggested as a fitting parameter. |
| WOS关键词 | UNSATURATED SOILS ; SHEAR-STRENGTH ; MICROSTRUCTURE |
| 资助项目 | Thanks are given to Xiao Xie for assisting in the experiment. |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001072270700001 |
| 资助机构 | Thanks are given to Xiao Xie for assisting in the experiment. ; Thanks are given to Xiao Xie for assisting in the experiment. ; Thanks are given to Xiao Xie for assisting in the experiment. ; Thanks are given to Xiao Xie for assisting in the experiment. ; Thanks are given to Xiao Xie for assisting in the experiment. ; Thanks are given to Xiao Xie for assisting in the experiment. ; Thanks are given to Xiao Xie for assisting in the experiment. ; Thanks are given to Xiao Xie for assisting in the experiment. |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/110786]  |
| 专题 | 地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室 |
| 通讯作者 | Hou, Xiaokun |
| 作者单位 | 1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Key Lab Shale Gas & Geoengn, Inst Geol & Geophys, Beijing 100029, Peoples R China 3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hou, Xiaokun. Prediction of the Soil-Water Retention Curve of Loess Using the Pore Data from the Mercury Intrusion Technique[J]. WATER,2023,15(18):13. |
| APA | Hou, Xiaokun.(2023).Prediction of the Soil-Water Retention Curve of Loess Using the Pore Data from the Mercury Intrusion Technique.WATER,15(18),13. |
| MLA | Hou, Xiaokun."Prediction of the Soil-Water Retention Curve of Loess Using the Pore Data from the Mercury Intrusion Technique".WATER 15.18(2023):13. |
入库方式： OAI收割
来源：地质与地球物理研究所
浏览0
下载0
收藏0
其他版本
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。