Thermal conductivity of soils by weighted average model with transitional air/water inter-phase

This study presents two straightforward weighted average models for estimating the thermal conductivity of unsaturated soils. The first model ( WAM TAWI -1 ) incorporates the weighted average contributions from primary soil constituents (i.e., quartz ) and residual soil minerals , which are surrounded by a single continuous phase ( a transitional air/water inter-phase fluid ) with continuously changing thermal conductivity ( λ ) within its boundary values representing air ( λ a ) and water ( λ w ) . Similarly, the second model ( WAM TAWI -2 ) incorporates the weighted average contributions from all soil minerals and the transitional air/water inter-phase fluid. In contrast to the original model by de Vries in 1963, these models are free of complex latent heat transfer expressions, water/air shape fitting factors, and critical water content for changing continuous medium between air and water; consequently, they are exceptionally easy to use. The WAM TAWI -1 model is recommended because it only requires commonly available data: soil porosity , grain size distribution , and quartz content, while the WAM TAWI -2 model requires full mineral composition of a soil which is rarely available. The WAM TAWI -1 model was effectively validated with respect to λ data of 39 Canadian field soils, three standard sands, and 10 Chinese soils. The average standard deviations ( SD ) were ± 0.093 W⋅m −1 ⋅K −1 for 17 coarse soils, ±0.068 W⋅m −1 ⋅K −1 for 22 fine soils, and ± 0.079 W⋅m −1 ⋅K −1 for all Canadian soils. For the three standard sands, the average SD was ±0.143 W⋅m −1 ⋅K −1 , demonstrating good performance. Among the 10 Chinese soils, the model demonstrated good performance of ±0.142 W⋅m −1 ⋅K −1 for five coarse soils, while delivering superior estimates of ±0.094 W⋅m −1 ⋅K −1 for the remaining five fine soils. The results confirm the outstanding superiority of the model with respect to the original model by de Vries, in terms of its simplicity and λ predictions. • Simplified weighted average models with transitional air/water inter-phase fluid are proposed. • Validation against λ data of 39 Canadian soils and three standard sands. • Application to predict λ for 10 Chinese soils. • Simple model, self-explanatory, and easy to use.

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Publication Details

Journal
International Communications in Heat and Mass Transfer
Published
2025-12-30
DOI
https://doi.org/10.1016/j.icheatmasstransfer.2025.110397
Primary Topic
Geothermal Energy Systems and Applications
Type
article
Field-Weighted Citation Impact
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article

Thermal conductivity of soils by weighted average model with transitional air/water inter-phase

W.H. Leong, M. McCombie, B. Wagner, G. Bovesecchi et al.
International Communications in Heat and Mass Transfer
Geothermal Energy Systems and Applications
article

Thermal conductivity of soils by weighted average model with transitional air/water inter-phase

W.H. Leong, M. McCombie, B. Wagner, G. Bovesecchi, V.R. Tarnawski
article en

Abstract

This study presents two straightforward weighted average models for estimating the thermal conductivity of unsaturated soils. The first model ( WAM TAWI -1 ) incorporates the weighted average contributions from primary soil constituents (i.e., quartz ) and residual soil minerals , which are surrounded by a single continuous phase ( a transitional air/water inter-phase fluid ) with continuously changing thermal conductivity ( λ ) within its boundary values representing air ( λ a ) and water ( λ w ) . Similarly, the second model ( WAM TAWI -2 ) incorporates the weighted average contributions from all soil minerals and the transitional air/water inter-phase fluid. In contrast to the original model by de Vries in 1963, these models are free of complex latent heat transfer expressions, water/air shape fitting factors, and critical water content for changing continuous medium between air and water; consequently, they are exceptionally easy to use. The WAM TAWI -1 model is recommended because it only requires commonly available data: soil porosity , grain size distribution , and quartz content, while the WAM TAWI -2 model requires full mineral composition of a soil which is rarely available. The WAM TAWI -1 model was effectively validated with respect to λ data of 39 Canadian field soils, three standard sands, and 10 Chinese soils. The average standard deviations ( SD ) were ± 0.093 W⋅m −1 ⋅K −1 for 17 coarse soils, ±0.068 W⋅m −1 ⋅K −1 for 22 fine soils, and ± 0.079 W⋅m −1 ⋅K −1 for all Canadian soils. For the three standard sands, the average SD was ±0.143 W⋅m −1 ⋅K −1 , demonstrating good performance. Among the 10 Chinese soils, the model demonstrated good performance of ±0.142 W⋅m −1 ⋅K −1 for five coarse soils, while delivering superior estimates of ±0.094 W⋅m −1 ⋅K −1 for the remaining five fine soils. The results confirm the outstanding superiority of the model with respect to the original model by de Vries, in terms of its simplicity and λ predictions. • Simplified weighted average models with transitional air/water inter-phase fluid are proposed. • Validation against λ data of 39 Canadian soils and three standard sands. • Application to predict λ for 10 Chinese soils. • Simple model, self-explanatory, and easy to use.

International Communications in Heat and Mass TransferVol. 172
University of Rome Tor Vergata (IT), Bayerisches Landesamt für Umwelt (DE), Toronto Metropolitan University (CA), Saint Mary's University (CA)
Clean water and sanitation
Openalex Percentile: Top 51%
Geothermal Energy Systems and Applications
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