Mixture theory-based SPH model for submerged landslide

Shear Band and Landslide Dynamics in Submerged and Subaerial Slopes

3D numerical modelling of submerged and coastal landslide propagation

The analysis of the propagation phase plays a fundamental role in the assessment and forecasting of risks related to the occurrence of submerged and coastal landslides. At present there are few numerical models able to simulate the propagation of such a type of events. This paper presents fully 3D models and approaches developed by the authors and suitable for the simulation of both completely ...

A satellite-based global landslide model

Landslides are devastating phenomena that cause huge damage around the world. This paper presents a quasiglobal landslide model derived using satellite precipitation data, land-use land cover maps, and 250 m topography information. This suggested landslide model is based on the Support Vector Machines (SVM), a machine learning algorithm. The National Aeronautics and Space Administration (NASA) ...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Research on Landslide Prediction Model Based on Support Vector Model

The Landslide,which is caused by mining activities, has become an important factor which constrains the sustainable development of mining area. Thus it becomes very important to predict the landslide in order to reduce and even to avoid the loss in hazards. The paper is to address the landslide prediction problem in the environment of GIS by establishing the landslide prediction model based on ...