Results 11 to 20 of about 32,034 (237)
Tree-root control of shallow landslides [PDF]
Earth Surface Dynamics, 2017 Tree roots have long been recognized to increase slope stability by reinforcing the strength of soils. Slope stability models usually include the effects of roots by adding an apparent cohesion to the soil to simulate root strength.
D. Cohen, M. Schwarz, M. Schwarz
doaj +3 more sources
Deep learning forecast of rainfall-induced shallow landslides. [PDF]
Nat Commun, 2023 AbstractRainfall triggered landslides occur in all mountain ranges posing threats to people and the environment. Given the projected climate changes, the risk posed by landslides is expected to increase, and the ability to anticipate their occurrence is key for effective risk reduction.
Mondini AC, Guzzetti F, Melillo M.
europepmc +4 more sources
Controls on the size distributions of shallow landslides. [PDF]
Proc Natl Acad Sci U S A, 2021 Significance Shallow landslides are destructive and widespread natural hazards, but what controls their size distribution is poorly understood. We present a generalized theory to explain landslide size distribution at specific locations by combining a mechanistic slope stability model with a spatial-statistical description of the variability ...
Bellugi DG +4 more
europepmc +6 more sources
Mass-Movement Processes: Shallow Landslides [PDF]
, 2022 Landslides are deposits of rock, debris, and earth that have moved down a slope by gravity. The five major types of landslides based on mechanisms are falls, topples, slides, spreads, and flows. This article describes shallow slides, which are one of the most common types of landslides in all the world's climate zones and are characterized by a reduced
Melo, Raquel +2 more
openaire +2 more sources
Wind control of storm‐triggered shallow landslides [PDF]
Geophysical Research Letters, 2007 Heavy rainstorms are a major control of shallow landsliding in mountainous areas. The influence of three‐dimensional (3‐D) variability of precipitation is analyzed by coupling a fine‐resolution atmospheric model (RAMS) with a fine‐resolution topographic model (DEM) to represent the 3‐D precipitation flux generating the catastrophic flood that occurred ...
RULLI, MARIA CRISTINA +2 more
openaire +3 more sources
Shallow landslides susceptibility assessment in different environments [PDF]
Geomatics, Natural Hazards and Risk, 2016 The spatial distribution of shallow landslides is strongly influenced by different climatic conditions and environmental settings. This makes difficult the implementation of an exhaustive monitoring technique for correctly assessing the landslide susceptibility in different environmental contexts.
Persichillo, Maria Giuseppina +10 more
openaire +6 more sources
Cost-sensitive rainfall thresholds for shallow landslides [PDF]
Landslides, 2021 AbstractThe risk management of rainfall-induced landslides requires reliable rainfall thresholds to issue early warning alerts. The practical application of these thresholds often leads to misclassifications, either false negative or false positive, which induce costs for the society. Since missed-alarm (false negative) and false-alarm (false positive)
Sala G. +4 more
openaire +1 more source
FAIR shallow landslide hazard mapping
, 2023 A single triggering event such as strong precipitation, may result in swarms of shallow landslides that cumulatively pose significant risks to population, infrastructure and the environment. There is large scientific and societal interest in hazard maps that display the susceptibility to shallow landslide occurrence while accounting for spatio-temporal
Edrich, A. +3 more
openaire +2 more sources
Biotic controls on shallow translational landslides [PDF]
Earth Surface Processes and Landforms, 2012 ABSTRACTIn undisturbed tropical montane rainforests massive organic layers accommodate the majority of roots and only a small fraction of roots penetrate the mineral soil. We investigated the contribution of vegetation to slope stability in such environments by modifying a standard model for slope stability to include an organic layer with distinct ...
Peter Vorpahl +4 more
openaire +4 more sources
Modelling of shallow landslides with machine learning algorithms
Geoscience Frontiers, 2021 Abstract This paper introduces three machine learning (ML) algorithms, the ‘ensemble’ Random Forest (RF), the ‘ensemble’ Gradient Boosted Regression Tree (GBRT) and the MultiLayer Perceptron neural network (MLP) and applies them to the spatial modelling of shallow landslides near Kvam in Norway.
Liu, Zhongqiang +6 more
openaire +2 more sources