Results 41 to 50 of about 425,960 (227)

Deep learning forecast of rainfall-induced shallow landslides

open access: yesNature Communications, 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.
Alessandro C. Mondini   +2 more
openaire   +3 more sources

Combined rock slope stability and shallow landslide susceptibility assessment of the Jasmund cliff area (Rügen Island, Germany) [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2009
In this contribution we evaluated both the structurally-controlled failure susceptibility of the fractured Cretaceous chalk rocks and the topographically-controlled shallow landslide susceptibility of the overlying glacial sediments for the Jasmund cliff
A. Günther, C. Thiel
doaj  

Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil

open access: yesISPRS International Journal of Geo-Information, 2017
Spatial patterns of shallow landslide initiation reflect both spatial patterns of heavy rainfall and areas susceptible to mass movements. We determine the areas most susceptible to shallow landslide occurrence through the calculation of critical soil ...
Renato Fontes Guimarães   +7 more
doaj   +1 more source

Combining soil macropore flow with formation mechanism to the development of shallow landslide warning threshold in South China

open access: yesFrontiers in Earth Science, 2023
Because of the physical character of soil from granite weathering and the typhoon rains in South China, the model for early warnings of existing shallow landslides cannot be well applied in that area.
Jun Wang   +7 more
doaj   +1 more source

Evaluation of Topography and Seismicity on Shallow Landslide Susceptibility [PDF]

open access: yes
Shallow landslides are a prevalent concern in mountainous regions that can result in severe societal, economic, and environmental impacts. The challenge is further compounded as the size and location of a potential slide is often unknown.
Hess, Daniel M.
core   +3 more sources

Intelligent identification and susceptibility analysis of rainfall-induced shallow landslides in mountainous areas based on high-resolution remote sensing and deep learning

open access: yesFrontiers in Earth Science
In recent years, extreme rainfall events have become more frequent, leading to a significant increase in shallow landslide disasters, which trigger debris flows and increase the risk of subsequent chain disasters.
Wei Zeng   +5 more
doaj   +1 more source

Investigation on Surface Tilting in the Failure Process of Shallow Landslides [PDF]

open access: yesSensors, 2020
In recent decades, early warning systems to predict the occurrence of landslides using tilt sensors have been developed and employed in slope monitoring due to their low cost and simple installation. Although many studies have been carried out to validate the efficiency of these early warning systems, few studies have been carried out to investigate ...
Qiao, Shifan   +8 more
openaire   +4 more sources

Impact of Climate Change on Shallow Landslides in the Loess Plateau-A Case Study in Baota Region, Yan'an City

open access: yesShuitu baochi yanjiu, 2021
The Loess Plateau is the prone area of shallow landslide geological disaster in China. Under the background of climate change, the global extreme precipitation weather is increasing, and the corresponding geological disasters are also increasing.
XU Zenghui   +3 more
doaj  

A refinement analysis of the shallow landslides susceptibility at regional scale supported by GIS-aided geo-database

open access: yesGeomatics, Natural Hazards & Risk, 2021
Intense rainfall events often produce a great number of shallow landslides events, which in many cases can hits large areas or an entire regional territory.
Giovanni Gullà   +2 more
doaj   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

open access: yesDeep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan   +5 more
wiley   +1 more source

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