2017
DOI: 10.1144/qjegh2016-079
|View full text |Cite
|
Sign up to set email alerts
|

Numerical modelling of slope–vegetation–atmosphere interaction: an overview

Abstract: The behaviour of natural and artificial slopes is controlled by their thermo-hydro-mechanical conditions and by soil–vegetation–atmosphere interaction. Porewater pressure changes within a slope related to variable meteorological settings have been shown to be able to induce soil erosion, shrinkage–swelling and cracking, thus leading to an overall decrease of the available soil strength with depth and, ultimately, to a progressive slope collapse. In terms of numerical modelling, the stability analysis of partia… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
28
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8
2

Relationship

1
9

Authors

Journals

citations
Cited by 75 publications
(29 citation statements)
references
References 119 publications
0
28
0
Order By: Relevance
“…Both drainage and vegetation strongly affect dike performance (Vardon, 2015;Elia et al, 2017). As available geotechnical models cannot simulate the effect of vegetation on dike stability, in the current study, a crop growth model is coupled to a Finite Element Method (FEM) model to enable the evaluation of variable climatic and vegetation conditions on dike stability.…”
Section: Methodsmentioning
confidence: 99%
“…Both drainage and vegetation strongly affect dike performance (Vardon, 2015;Elia et al, 2017). As available geotechnical models cannot simulate the effect of vegetation on dike stability, in the current study, a crop growth model is coupled to a Finite Element Method (FEM) model to enable the evaluation of variable climatic and vegetation conditions on dike stability.…”
Section: Methodsmentioning
confidence: 99%
“…2; Devoli et al 2015;Boje et al 2014), and a demonstrator system is being developed for the UK London to South West rail routes called GeoSRM (Sadler et al 2016) that determines earthworks risk based on geology, soil moisture conditions and forecast rainfall. More sophisticated systems could incorporate underlying slope failure models based on approximate soil properties and the geometry of the earthworks, although it could be challenging to predict failure within particular slopes as key data (geometry, geology, condition) and models of failure are often insufficient or too simplified (Glendinning et al 2015;Elia et al 2017). Nonetheless, such a system could be valuable if coupled with near-future weather data (e.g.…”
Section: Forecasting and Communicating Periods Of Enhanced Riskmentioning
confidence: 99%
“…The SVA interaction is the combination of the mass (liquid or gas) and the energy exchanges between the atmosphere, the vegetation, the soil skeleton and the pore fluids. The phenomena bringing about such exchanges are of either thermodynamic, or hydraulic, or mechanical or chemical nature (e.g., [18][19][20][21][22][23][24][25][26]). With regards to water, such phenomena determine either its infiltration as a liquid, or its evaporation and transpiration as a vapor.…”
Section: Introductionmentioning
confidence: 99%