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A new model to predict soil thermal conductivity
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 convenien...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314946/ https://www.ncbi.nlm.nih.gov/pubmed/37393404 http://dx.doi.org/10.1038/s41598-023-37413-5 |
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author | Xiong, Kun Feng, Yuqing Jin, Hua Liang, Sihai Yu, Kaining Kuang, Xingxing Wan, Li |
author_facet | Xiong, Kun Feng, Yuqing Jin, Hua Liang, Sihai Yu, Kaining Kuang, Xingxing Wan, Li |
author_sort | Xiong, Kun |
collection | PubMed |
description | 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 (λ) and degree of saturation (S(r)) was proposed in this study. Dry soil thermal conductivity (λ(dry)) and saturated soil thermal conductivity (λ(sat)) were described using a linear expression and a geometric mean model, respectively. A quadratic function with one constant was added to calculate λ beyond the lower λ(dry) and upper λ(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. |
format | Online Article Text |
id | pubmed-10314946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103149462023-07-03 A new model to predict soil thermal conductivity Xiong, Kun Feng, Yuqing Jin, Hua Liang, Sihai Yu, Kaining Kuang, Xingxing Wan, Li Sci Rep Article 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 (λ) and degree of saturation (S(r)) was proposed in this study. Dry soil thermal conductivity (λ(dry)) and saturated soil thermal conductivity (λ(sat)) were described using a linear expression and a geometric mean model, respectively. A quadratic function with one constant was added to calculate λ beyond the lower λ(dry) and upper λ(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. Nature Publishing Group UK 2023-07-01 /pmc/articles/PMC10314946/ /pubmed/37393404 http://dx.doi.org/10.1038/s41598-023-37413-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xiong, Kun Feng, Yuqing Jin, Hua Liang, Sihai Yu, Kaining Kuang, Xingxing Wan, Li A new model to predict soil thermal conductivity |
title | A new model to predict soil thermal conductivity |
title_full | A new model to predict soil thermal conductivity |
title_fullStr | A new model to predict soil thermal conductivity |
title_full_unstemmed | A new model to predict soil thermal conductivity |
title_short | A new model to predict soil thermal conductivity |
title_sort | new model to predict soil thermal conductivity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314946/ https://www.ncbi.nlm.nih.gov/pubmed/37393404 http://dx.doi.org/10.1038/s41598-023-37413-5 |
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