Premium
Estimating thermal conductivity of frozen soils from air‐filled porosity
Author(s) -
Tian Zhengchao,
Ren Tusheng,
Heitman Joshua L.,
Horton Robert
Publication year - 2020
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.1002/saj2.20102
Subject(s) - soil water , thermal conductivity , porosity , exponential function , soil science , thermal , heat transfer , soil thermal properties , mineralogy , environmental science , materials science , geology , geotechnical engineering , thermodynamics , mathematics , hydraulic conductivity , composite material , physics , mathematical analysis
Soil thermal conductivity (λ) is an important thermal property for environmental, agricultural, and engineering heat transfer applications. Existing λ models for frozen soils are complicated to use because they require estimates of both liquid water content and ice content. This study introduces a new approach to estimate λ of partially frozen soils from air‐filled porosity ( n a ), which can be determined by using an oven‐drying method. A λ and n a relationship was established based on measurements for 28 partially frozen soils. A strong exponential relationship between λ and n a was found (with R 2 of 0.82). Independent tests on 10 partially frozen soils showed that the exponential λ– n a model produced reliable λ estimates with a RMSE of 0.319 W m −1 K −1 , which was smaller than those of two widely used λ models for partially frozen soils. The λ– n a model is easier to use than existing models, because it requires fewer parameters. Note that the λ‐ n a model ignores the effect of temperature on λ of frozen soils and is most applicable to soil at temperatures of at least −4 °C.