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| DOI | 10.1016/j.geoderma.2021.115293 |
| Improved prediction of water retention characteristic based on soil gradation and clay fraction | |
| Wang, Chong; Li, Shuang-yang; He, Xiao-jia; Chen, Qian; Zhang, Hao; Liu, Xiao-yu | |
| 通讯作者 | Li, SY (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou 730000, Peoples R China. ; He, XJ (通讯作者)，Adm Ctr Chinas Agenda 21, Beijing 100038, Peoples R China. |
| 发表日期 | 2021 |
| ISSN | 0016-7061 |
| EISSN | 1872-6259 |
| 卷号 | 404 |
| 英文摘要 | As an important function for determining both the hydraulic and mechanical properties of soils, the soil-water characteristic curve (SWCC) based on the particle size distribution underestimates the water content at high suction head. In this study, the quantitative relationship between the clay content and residual pore fraction is established based on soil gradation parameters (uniformity coefficient Cu and curvature coefficient Cc); the van Genuchten equation is employed to describe the soil-water characteristic curve; and then a semi-physical and semi-statistical method based on clay content is proposed to predict water-holding of unsaturated soils, especially for the soil with higher clay contents or low water contents (high matric suctions). Eighty-seven soil samples containing nine texture classes from the unsaturated soil hydraulic database (UNSODA) are used to verify the proposed approach. Two traditional models proposed by Hwang et al. (2011) and Meskini-Vishkaee et al. (2014) are introduced to compare the predictive effect with the improved method. Although three methods all show good performance, the improved prediction method based on uniformity coefficient (C-u = d(60)/d(10)) has a better estimation accuracy than the two others according to statistical parameters, including root-mean-square error (RMSE), sum of square errors (SSE), and determination coefficient (R-2). The ranking order of average uniformity coefficients in the three soil classes (sandy, silty, and clayey) agrees well with the ranking order of clay contents. Meanwhile, various d(y)/d(x) are used to characterize soil gradation and have similar goodness of fitting to residual pore fraction. In summary, the improved prediction model can effectively predict soil-water characteristic curves, especially for soil with low water contents (high matric suctions) or high clay contents. The model benefits the predictions of mechanical properties, permeability coefficient, shear strength and slope stability of unsaturated soil at low water contents. |
| 关键词 | PARTICLE-SIZE DISTRIBUTIONSATURATED POROUS-MEDIABULK-DENSITYHYDRAULIC CONDUCTIVITYLIQUID RETENTIONCURVEPOREMODELCONDENSATIONEQUATION |
| 英文关键词 | Soil-water characteristic curve; Uniformity coefficient; Clay content; Residual pore fraction |
| 语种 | 英语 |
| WOS研究方向 | Agriculture |
| WOS类目 | Soil Science |
| WOS记录号 | WOS:000700886000019 |
| 来源期刊 | GEODERMA
 |
| 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/253935 |
| 作者单位 | [Wang, Chong; Chen, Qian; Zhang, Hao; Liu, Xiao-yu] Lanzhou Univ, Key Lab Mech Disaster & Environm Western China, Minist Educ China, Lanzhou 730000, Peoples R China; [Wang, Chong; Chen, Qian; Zhang, Hao; Liu, Xiao-yu] Lanzhou Univ, Sch Civil Engn & Mech, Lanzhou 730000, Peoples R China; [Li, Shuang-yang] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou 730000, Peoples R China; [He, Xiao-jia] Adm Ctr Chinas Agenda 21, Beijing 100038, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chong,Li, Shuang-yang,He, Xiao-jia,et al. Improved prediction of water retention characteristic based on soil gradation and clay fraction[J]. 中国科学院西北生态环境资源研究院,2021,404. |
| APA | Wang, Chong,Li, Shuang-yang,He, Xiao-jia,Chen, Qian,Zhang, Hao,&Liu, Xiao-yu.(2021).Improved prediction of water retention characteristic based on soil gradation and clay fraction.GEODERMA,404. |
| MLA | Wang, Chong,et al."Improved prediction of water retention characteristic based on soil gradation and clay fraction".GEODERMA 404(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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