| 题名 | A new model to predict soil thermal conductivity |
| 作者 | |
| 通讯作者 | Feng, Yuqing; Jin, Hua |
| 发表日期 | 2023-07-01
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| DOI | |
| 发表期刊 | |
| ISSN | 2045-2322
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| EISSN | 2045-2322
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| 卷号 | 13期号:1 |
| 摘要 | Thermal conductivity is a basic parameter of soil heat transferring, playing an important role in many fields including groundwater withdrawal, ground source heat pump, and heat storage in soils. However, it usually requires a lot of time and efforts to obtain soil thermal conductivity. To conveniently obtain accurate soil thermal conductivity, a new model describes the relationship between soil thermal conductivity (& lambda;) and degree of saturation (S-r) was proposed in this study. Dry soil thermal conductivity (& lambda;(dry)) and saturated soil thermal conductivity (& lambda;(sat)) were described using a linear expression and a geometric mean model, respectively. A quadratic function with one constant was added to calculate & lambda; beyond the lower & lambda;(dry) and upper & lambda;(sat) limit conditions. The proposed model is compared with five other frequently used models and measured data for 51 soil samples ranging from sand to silty clay loam. Results show that the proposed model match the measured data well. The proposed model can be used to determine soil thermal conductivity of a variety of soil textures over a wide range of water content. |
| 相关链接 | [来源记录] |
| 收录类别 | |
| 语种 | 英语
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| 学校署名 | 其他
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| 资助项目 | National Natural Science Foundation of China["92047202","91747204"]
; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20100103]
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| WOS研究方向 | Science & Technology - Other Topics
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| WOS类目 | Multidisciplinary Sciences
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| WOS记录号 | WOS:001022712900008
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| 出版者 | |
| Scopus记录号 | 2-s2.0-85163607422
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| 来源库 | Web of Science
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| 引用统计 |
被引频次[WOS]：3
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| 成果类型 | 期刊论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/553268 |
| 专题 | 工学院_环境科学与工程学院 |
| 作者单位 | 1.China Univ Geosci Beijing, Sch Water Resources & Environm, Xueyuan Rd 29, Beijing 100083, Peoples R China 2.Hebei GEO Univ, Hebei Ctr Ecol & Environm Geol Res, Shijiazhuang 050031, Peoples R China 3.Taiyuan Univ Technol, Coll Water Resources Sci & Engn, 79 West St Yingze, Taiyuan 030024, Peoples R China 4.Southern Univ Sci & Technol, Sch Environm Sci & Engn, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China |
| 推荐引用方式 GB/T 7714 |
Xiong, Kun,Feng, Yuqing,Jin, Hua,et al. A new model to predict soil thermal conductivity[J]. SCIENTIFIC REPORTS,2023,13(1).
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| APA |
Xiong, Kun.,Feng, Yuqing.,Jin, Hua.,Liang, Sihai.,Yu, Kaining.,...&Wan, Li.(2023).A new model to predict soil thermal conductivity.SCIENTIFIC REPORTS,13(1).
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| MLA |
Xiong, Kun,et al."A new model to predict soil thermal conductivity".SCIENTIFIC REPORTS 13.1(2023).
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| 条目包含的文件 | 条目无相关文件。 | |||||
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