The complicated interactions among shallow soil, vegetation, and atmospheric parameters
make the precise prediction of field-monitored soil suction under natural conditions …

In this study, an intelligent monitoring platform is established for continuous quantification of
soil, vegetation, and atmosphere parameters (eg soil suction, rainfall, tree canopy, air …

Soil suction, an important parameter in the safety and risk assessment of geotechnical and
green infrastructures, is greatly affected by plants and weather in the shallow soil layers of …

In this study, a machine learning method, ie genetic programming (GP), is employed to
obtain a simplified statistical model to describe the variation of soil suction in drying cycles …

Using native vegetation to improve soil stiffness, stabilise slopes and control erosion is a
rapidly evolving process. A theoretical model previously developed by the authors for the …

In this study, field monitoring testing and machine learning are used to analyze vegetated
soil's response to various rainfall events under natural environmental conditions …

Purpose Water balance is measured by transpiration, which has a significant impact on the
performance of geotechnical infrastructure (vegetated slopes), ecological infrastructure …

Plant induced suction reduces hydraulic conductivity (k) and hence rainfall infiltration. This is
vital for stability of slopes and landfill covers. Vegetation is also known to influence soil water …

Soil water retention curve (SWRC) is an important parameter required for seepage
modelling in unsaturated soil and is used for analysing rainfall-induced slope failures …

Matric suction induced by evapotranspiration is an important parameter for determining the
hydraulic mechanisms of vegetation on slope stability. Despite evapotranspiration closely …