Assessing the influence of temperature on slope stability in a temperate climate: A nationwide spatial probability analysis in Italy

Among landslide controls, the role of temperature in temperate regions remains poorly understood. Experiments revealed thermo-hydro-mechanical effects in geomaterials; however, field evidence of temperature-controlled landsliding is scarce. This complexity hinders the formulation of a temperature-related variable, useable in modelling across scales. Here, we identified spatial correlations between temperature and shallow landslides in gentle clay slopes. Notably, the temperature in the shallow underground is controlled by that of the atmosphere, and clays are the most sensitive to temperature among all geomaterials. Exploiting the Italian Landslide Inventory, we constructed a slope unit-based Generalised Additive Model and utilised Land Surface Temperature (LST) data from MODIS, accessible in Google Earth Engine. Interestingly, we observed a stronger positive correlation between landslides and LST, particularly in southern Italy, where categorised widespread shallow instabilities are common. Although more experiments and site-specific studies are warranted, the observed pattern appears consistent with thermal soil weakening, which may enhance landslide mobility. • Temperature influences the stability of gentle clay slopes in temperate climates. • Slope unit-based statistical modelling reveals a role of land surface temperature. • A small set of covariates ensures explainability with slight performance loss. • Spatial homogeneity in model subsets supports the identification of thermal effects.

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Publication Details

Journal
Environmental Modelling & Software
Published
2024-09-13
DOI
https://doi.org/10.1016/j.envsoft.2024.106217
Citations
9
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
6.39
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article

Assessing the influence of temperature on slope stability in a temperate climate: A nationwide spatial probability analysis in Italy

Gianvito Scaringi, Marco Loche
9 citations
Environmental Modelling & Software
Landslides and related hazards
6.39
article

Assessing the influence of temperature on slope stability in a temperate climate: A nationwide spatial probability analysis in Italy

Gianvito Scaringi, Marco Loche
article en
9 citations

Abstract

Among landslide controls, the role of temperature in temperate regions remains poorly understood. Experiments revealed thermo-hydro-mechanical effects in geomaterials; however, field evidence of temperature-controlled landsliding is scarce. This complexity hinders the formulation of a temperature-related variable, useable in modelling across scales. Here, we identified spatial correlations between temperature and shallow landslides in gentle clay slopes. Notably, the temperature in the shallow underground is controlled by that of the atmosphere, and clays are the most sensitive to temperature among all geomaterials. Exploiting the Italian Landslide Inventory, we constructed a slope unit-based Generalised Additive Model and utilised Land Surface Temperature (LST) data from MODIS, accessible in Google Earth Engine. Interestingly, we observed a stronger positive correlation between landslides and LST, particularly in southern Italy, where categorised widespread shallow instabilities are common. Although more experiments and site-specific studies are warranted, the observed pattern appears consistent with thermal soil weakening, which may enhance landslide mobility. • Temperature influences the stability of gentle clay slopes in temperate climates. • Slope unit-based statistical modelling reveals a role of land surface temperature. • A small set of covariates ensures explainability with slight performance loss. • Spatial homogeneity in model subsets supports the identification of thermal effects.

Environmental Modelling & SoftwareVol. 183
Charles University (CZ), Czech Academy of Sciences, Institute of Rock Structure and Mechanics (CZ)
Climate action
Openalex Percentile: Top 4%
Landslides and related hazards
6.39
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