Results 11 to 20 of about 425,960 (227)
Guidance Index for Shallow Landslide Hazard Analysis [PDF]
Remote Sensing, 2016 Rainfall-induced shallow landslides are one of the most frequent hazards on slanted terrains. Intense storms with high-intensity and long-duration rainfall have high potential to trigger rapidly moving soil masses due to changes in pore water pressure and seepage forces. Nevertheless, regardless of the intensity and/or duration of the rainfall, shallow
Cheila Avalon Cullen +2 more
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Frontiers in Earth ScienceIn low-resolution remote sensing images under complex lighting conditions, there is a similarity in spectral characteristics between non-landslide areas and landslide bodies, which increases the probability of misjudgment in the identification process of
Jing Ren +6 more
doaj +2 more sources
Landslide Susceptibility Assessment at the Basin Scale for Rainfall- and Earthquake-Triggered Shallow Slides [PDF]
Geosciences, 2019 The hydrographic basin of Ribeira Grande (S. Miguel Island, Azores) has a set of characteristics that enhance the occurrence of shallow slides that have been triggered by rainfall and earthquakes.
Cristina Gordo +2 more
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Short Term Weather Forecasting for Shallow Landslide Prediction [PDF]
, 2013 The paper describes the activities developed within the work package 4.1 of the UE/FP7 SAFELAND Project. The first scope of this research activity is to define and to implement a warning system for shallow landslide prediction, at large and slope scale, based on the forecast precipitation.
Mercogliano P. +10 more
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Controls on the size distributions of shallow landslides [PDF]
Proceedings of the National Academy of Sciences, 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 ...
Dino G. Bellugi +4 more
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Deep critical zone controls on shallow landslides. [PDF]
Proc Natl Acad Sci U S AThe deep critical zone (CZ) has long been recognized for its importance in influencing shallow landslides but was not considered feasible to include in slope stability models at the watershed scale. Here, we demonstrate that simple approximations of the CZ in a fully coupled hydrologic and soil slope stability model can effectively capture the location,
Moon S +7 more
europepmc +3 more sources
A model for triggering mechanisms of shallow landslides [PDF]
Natural Hazards and Earth System Sciences, 2008 Abstract. Rainfall-induced shallow landslides, also called "soil slips", are becoming ever more frequent all over the world and are receiving a rising interest in consequence of the heavy damage they produce. At the University of Parma, a simplified physically based model has been recently set up for the evaluation of the safety factor of slopes which ...
MONTRASIO, Lorella, VALENTINO, Roberto
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Tree-roots control of shallow landslides [PDF]
Earth Surface Dynamics, 2017 Abstract. Tree roots have long been recognized to increase slope stability by reinforcing the strength of soils. Slope stability models include the effects of roots by adding an apparent cohesion to the soil to simulate root strength. No model includes the combined effects of root distribution heterogeneity, stress-strain behavior of root reinforcement,
D. Cohen, M. Schwarz, M. Schwarz
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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
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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 +4 more sources