Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity
Soil thermal conductivity (λ) is an important thermal property that is crucial for surface energy
balance and water balance studies. 1602 measured soil thermal conductivity values …
balance and water balance studies. 1602 measured soil thermal conductivity values …
A new empirical model for the estimation of soil thermal conductivity
J Ren, L Men, W Zhang, J Yang - Environmental Earth Sciences, 2019 - Springer
Soil thermal conductivity (λ) is an important thermal property which serves as an indicator for
the coupling of soil, water, heat, and solutes in a numerical model. The objective of this study …
the coupling of soil, water, heat, and solutes in a numerical model. The objective of this study …
Application of machine learning algorithms to model soil thermal diffusivity
Soil thermal diffusivity (k) is an important thermal property that significantly affects ground
energy storage and heat transfer. Direct measurements of soil thermal diffusivity are …
energy storage and heat transfer. Direct measurements of soil thermal diffusivity are …
Simulation of soil thermal conductivity based on different schemes: An empirical comparison of 13 models
Thermal conductivity is a key soil property widely used for agricultural production, land
surface processing research, and geothermal resource development, among others …
surface processing research, and geothermal resource development, among others …
Prediction of soil thermal conductivity based on Intelligent computing model
C Wang, G Cai, X Liu, M Wu - Heat and Mass Transfer, 2022 - Springer
Thermal conductivity is a basic characteristic of the heat conduction properties of subsoil.
Previous research shows that soil thermal conductivity has complex correlations with many …
Previous research shows that soil thermal conductivity has complex correlations with many …
Estimating the thermal conductivity of soils using six machine learning algorithms
Many machine learning algorithms have been applied to determine soil properties in recent
years. However, the prediction performances of thermal conductivity of soils via machine …
years. However, the prediction performances of thermal conductivity of soils via machine …
A modified normalized model for predicting effective soil thermal conductivity
Effective soil thermal conductivity (λ eff) describes the ability of a multiphase soil to transmit
heat by conduction under unit temperature gradient. It is a critical parameter for …
heat by conduction under unit temperature gradient. It is a critical parameter for …
A new model for predicting soil thermal conductivity for dry soils
Soil thermal conductivity (λ), describing the ability of transferring heat in the soil, plays an
important role in soil thermal behavior. The estimation of λ at dryness (λ dry) is essential for …
important role in soil thermal behavior. The estimation of λ at dryness (λ dry) is essential for …
Artificial neural network for predicting the thermal conductivity of soils based on a systematic database
KQ Li, Q Kang, JY Nie, XW Huang - Geothermics, 2022 - Elsevier
Thermal conductivity is a significant soil property that affects subsurface temperature
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …
A unified soil thermal conductivity model based on artificial neural network
N Zhang, H Zou, L Zhang, AJ Puppala, S Liu… - International Journal of …, 2020 - Elsevier
An accurate prediction of thermal conductivity (k) of unsaturated soils is a challenging
problem in geothermal applications because k is affected by various factors such as soil …
problem in geothermal applications because k is affected by various factors such as soil …