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Updated: May 23, 2026
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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
Impact of Temporal and Spatial Resolution in Slope-Plant-Atmosphere Interaction Modelling
Maryam Sadat Maddah Sadatieh1,2, Aikaterini Tsiampousi1, Athanasios Paschalis3
1Department of Civil and Environmental Engineering, Imperial College London, London, UK.
Geotechnical and Geological Engineering
|May 22, 2026
Summary
Soil-plant-atmosphere interactions critically impact slope stability by influencing pore water pressure and soil properties. Numerical models reveal which atmospheric boundary conditions significantly affect slope performance, guiding efficient geotechnical design.
Area of Science:
- Geotechnical Engineering
- Environmental Science
- Hydrology
Background:
- Soil-Plant-Atmosphere Interaction (SPAI) is crucial for slope stability, affecting water balance and pore water pressures (PWP).
- Accurate modeling of SPAI requires robust hydro-mechanical coupling and precise boundary conditions (BCs) representing atmospheric influences.
- Understanding SPAI's impact on slope behavior is vital for predicting stability and serviceability, especially under changing climate conditions.
Purpose of the Study:
- To assess the influence of different boundary conditions (BCs) on slope behavior under Soil-Plant-Atmosphere Interaction (SPAI).
- To evaluate the impact of temporal and spatial variations in atmospheric data and vegetation dynamics on slope stability.
- To provide guidance on simplifying modeling approaches for computational efficiency without compromising accuracy in geotechnical design.
Main Methods:
- Utilized fully coupled hydro-mechanical numerical analyses on a representative cut slope.
- Compared daily versus monthly atmospheric data for boundary conditions.
- Contrasted dynamic vegetation growth with static vegetation and analyzed water extraction due to transpiration versus simplified surface evapotranspiration.
Main Results:
- Numerical results demonstrate that specific modeling choices for boundary conditions significantly influence predicted slope performance.
- The temporal and spatial variations in atmospheric data and vegetation representation critically affect slope stability and serviceability predictions.
- Certain simplifications in modeling SPAI can be safely employed, while others significantly alter outcomes, particularly under climate change scenarios.
Conclusions:
- The selection of boundary conditions in hydro-mechanical analyses is critical for accurately predicting slope behavior under SPAI.
- Dynamic vegetation and detailed atmospheric data are important for precise slope stability assessments, especially in the context of climate change.
- The study offers practical guidance for geotechnical engineers to balance computational efficiency with the necessary accuracy in slope design by identifying key modeling parameters.
Keywords:
Boundary conditionsNumerical analysisServiceabilitySoil–plant–atmosphere interactionStabilityMore Related Videos
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