Robust calibration and evaluation of a percolation-based effective‐medium approximation model for thermal conductivity of unsaturated soils
dc.contributor.author | Fu, Yongwei | |
dc.contributor.author | Ghanbarian, Behzad | |
dc.contributor.author | Horton, Robert | |
dc.contributor.author | Heitman, Joshua | |
dc.contributor.department | Department of Agronomy | |
dc.date.accessioned | 2023-09-05T19:47:06Z | |
dc.date.available | 2023-09-05T19:47:06Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Thermal conductivity (λ) is a property characterizing heat transfer in porous media, such as soils and rocks, with broad applications to geothermal systems and aquifer characterizations. Numerous empirical and physically-based models have been developed for thermal conductivity in unsaturated soils. Recently, Ghanbarian and Daigle (G&D) proposed a theoretical model using the percolation-based effective-medium approximation. An explicit form of the G&D model relating λ to water content (θ) and equations to estimate the model parameters were also derived. In this study, we calibrated the G&D model and two widely applied empirical λ(θ) models using a robust calibration dataset of 41 soils. All three λ(θ) model performances were evaluated using a validation dataset of 58 soils. After calibration, the root mean square error (RMSE), mean absolute error (MAE) and coefficient of determination (R2) of the G&D model were 0.092 W−1 m−1 K−1, 0.067 W−1 m−1 K−1 and 0.97, respectively. For the two empirical models, RMSEs ranged from 0.086 to 0.096 W−1 m−1 K−1, MAEs from 0.063 to 0.071 W−1 m−1 K−1, and R2 values were about 0.97. All three metrics indicated that calibration improved the performance of the G&D model, and it had an accuracy similar to that of the two empirical λ(θ) models. Such a robust performance confirmed that the theoretically-based G&D model can be applied to study soil heat transfer and potentially other related fields. | |
dc.description.comments | This article is published as Fu, Yongwei, Behzad Ghanbarian, Robert Horton, and Joshua Heitman. "Robust calibration and evaluation of a percolation-based effective‐medium approximation model for thermal conductivity of unsaturated soils." Geoderma 438 (2023): 116631. doi:10.1016/j.geoderma.2023.116631. © 2023 The Author(s).<br/><br/>This is an open access article under the CC BY-NC-ND license (<a href="https://creativecommons.org/licenses/by-nc-nd/4.0/" target="_blank">http://creativecommons.org/licenses/by-nc-nd/4.0/</a>). | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/7wbO3pyv | |
dc.language.iso | en | |
dc.publisher | Elsevier B.V. | |
dc.source.uri | https://doi.org/10.1016/j.geoderma.2023.116631 | * |
dc.subject.disciplines | DegreeDisciplines::Physical Sciences and Mathematics::Earth Sciences::Soil Science | |
dc.subject.keywords | Percolation-based effective-medium approximation | |
dc.subject.keywords | Saturation | |
dc.subject.keywords | Thermal conductivity | |
dc.subject.keywords | Water content | |
dc.title | Robust calibration and evaluation of a percolation-based effective‐medium approximation model for thermal conductivity of unsaturated soils | |
dc.type | article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | d3fb0917-6868-417e-9695-a010896cfafa | |
relation.isOrgUnitOfPublication | fdd5c06c-bdbe-469c-a38e-51e664fece7a |
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