A review and evaluation of thermal conductivity models of saturated soils. Issue 7 (7th June 2021)

• Record Type: Journal Article
• Authors: Wang, Jiaming; He, Hailong; Li, Min; Dyck, Miles; Si, Bing; Lv, Jialong
• Is Part Of: Archives of agronomy and soil science. Volume 67:Issue 7(2021)
• Page Start: 974
• Page End: 986
• Publication Date: 2021-06-07
• Subjects: Soil thermal conductivity -- geometric mean model -- theoretical model -- empirical model -- semi-empirical model; Horticulture -- Periodicals; Soils -- Periodicals; 630.5
• DOI: 10.1080/03650340.2020.1771315
• Languages: English
• ISSNs: 0365-0340

Abstract

ABSTRACT: Thermal conductivity of saturated soil ( λsat ) is a critical parameter for environmental and engineering applications. A wide variety of models used to predict λsat have been presented in the literature, but there is a lack of systematic evaluation of their performance. The objective of this study was to evaluate the performance of available λsat models with a compiled dataset containing λsat measurements from various soil types. A total of 52 models, including 14 theoretical models, 10 semi-empirical models and 28 empirical models, were assessed using a large dataset consisting of more than 295 measurements on 168 soils from 23 studies. The results showed that none of the empirical models gave satisfactory estimates of λsat . One semi-empirical model (i.e. LK1926II or the geometric mean model) and seven theoretical models (i.e. MA1951, DV1963, KT1984, KT2007-TV18, HG1986, CS2010, and TV2015) satisfactorily modeled λsat of almost all soil types with Nash–Sutcliffe Efficiency > 0.8 and RMSE < 0.35 W m −1 °C. The geometric mean model (i.e. LK1926II) was the most parsimonious model with a high degree of predictive power.