At the watershed scale, soil moisture is the major control for rainfall–runoff response,
especially where saturation excess runoff processes dominate. From the ecological point of …

Accurate and continuous measurements of soil thermal and hydraulic properties are
required for environmental, Earth and planetary science, and engineering applications, but …

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 …

Thermal conductivity is a significant soil property that affects subsurface temperature
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …

The thermal conductivity and water content relationship is required for quantitative study of
heat and water transfer processes in saturated and unsaturated soils. In this study, we …

Thermal properties dictate the storage and movement of heat in soils and as such influence
the temperature and heat flux in soils as a function of time and depth. The ability to monitor …

The soil thermal properties—heat capacity (C), thermal diffusivity (α), and thermal
conductivity (λ)—are important in many agricultural, engineering, and meteorological …

When a new ground source heat exchanger field is planned, underground thermal
properties input data are necessary for the correct sizing of the geo-exchange system. To …

The dynamic distribution of thermal conditions present in saturated near-surface sediments
have been widely utilised to quantify the flow of water. A rapidly increasing number of …

This study proposes a generalised framework for develo** a hybrid machine learning
(ML) model that combines support vector regression (SVR) with hyperparameter …