Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
Smoothed particle hydrodynamics method for fluid flows, towards industrial applications: Motivations, current state, and challenges
Abstract Smoothed Particle Hydrodynamics (SPH) is a relatively new meshless numerical
approach which has attracted significant attention in the last two decades. Compared with …
approach which has attracted significant attention in the last two decades. Compared with …
Recommendations for the quantitative analysis of landslide risk
This paper presents recommended methodologies for the quantitative analysis of landslide
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …
r. avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows
r. avaflow represents an innovative open-source computational tool for routing rapid mass
flows, avalanches, or process chains from a defined release area down an arbitrary …
flows, avalanches, or process chains from a defined release area down an arbitrary …
Smoothed particle hydrodynamics (SPH): an overview and recent developments
Smoothed particle hydrodynamics (SPH) is a meshfree particle method based on
Lagrangian formulation, and has been widely applied to different areas in engineering and …
Lagrangian formulation, and has been widely applied to different areas in engineering and …
A depth-averaged debris-flow model that includes the effects of evolving dilatancy. I. Physical basis
To simulate debris-flow behaviour from initiation to deposition, we derive a depth-averaged,
two-phase model that combines concepts of critical-state soil mechanics, grain-flow …
two-phase model that combines concepts of critical-state soil mechanics, grain-flow …
Application of ensemble-based machine learning models to landslide susceptibility map**
The main purpose of this study was to produce landslide susceptibility maps using various
ensemble-based machine learning models (ie, the AdaBoost, LogitBoost, Multiclass …
ensemble-based machine learning models (ie, the AdaBoost, LogitBoost, Multiclass …
[HTML][HTML] Inundation, flow dynamics, and damage in the 9 January 2018 Montecito debris-flow event, California, USA: Opportunities and challenges for post-wildfire risk …
Shortly before the beginning of the 2017–2018 winter rainy season, one of the largest fires
in California (USA) history (Thomas fire) substantially increased the susceptibility of steep …
in California (USA) history (Thomas fire) substantially increased the susceptibility of steep …
Guidelines for landslide susceptibility, hazard and risk zoning for land use planning
R Fell, J Corominas, C Bonnard, L Cascini, E Leroi… - Engineering …, 2008 - Elsevier
Landslide susceptibility and hazard zoning, and to a lesser extent, landslide risk zoning,
have experienced extensive development during the last few decades. Most of these zoning …
have experienced extensive development during the last few decades. Most of these zoning …
Novel GIS based machine learning algorithms for shallow landslide susceptibility map**
The main objective of this research was to introduce a novel machine learning algorithm of
alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation …
alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation …