Landslide susceptibility modeling using integrated ensemble weights of evidence with logistic regression and random forest models

W Chen, Z Sun, J Han - Applied sciences, 2019 - mdpi.com
The main aim of this study was to compare the performances of the hybrid approaches of
traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …

The effects of extreme precipitations on landslide hazard in the pyroclastic deposits of Campania Region: a review

L Picarelli, L Olivares, E Damiano, R Darban, A Santo - Landslides, 2020 - Springer
In the last ten thousand years, the explosive activity of some volcanic centers has blanketed
with pyroclastic soils the major part of Campania Region, Southern Italy. Experience shows …

Does machine learning adequately predict earthquake induced landslides?

A Pyakurel, BK Dahal, D Gautam - Soil Dynamics and Earthquake …, 2023 - Elsevier
Abstract Machine learning (ML) has been used for landslide susceptibility analysis for a
while; however, studies using real-time earthquake induced landslide data are barely used …

Failure analysis on a heavy rainfall-induced landslide in Huay Khab Mountain in Northern Thailand

V Komolvilas, W Tanapalungkorn, P Latcharote… - Journal of Mountain …, 2021 - Springer
On 28 th July 2018, a massive landslide occurred in a mountainous area in Northern
Thailand. The landslide after ten days of heavy rainfall generated the movement of uphill …

An integrated geological, geotechnical and geophysical approach to identify predisposing factors for flowslide occurrence

R Di Maio, C De Paola, G Forte, E Piegari, M Pirone… - Engineering …, 2020 - Elsevier
This study combines geological, geotechnical and geophysical analyses to construct a 3D
model of the subsoil, based on a significant amount of data collected at a test site in the …

Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian-and tree-based models

SC Pal, R Chakrabortty, A Saha, SK Bozchaloei… - Bulletin of Engineering …, 2022 - Springer
The modeling and prediction of land movement susceptibility hazards, ie, debris flow,
landslide, and rock fall, can assist in controlling and preventing a variety of societal and …

Deformation characteristics and failure mechanisms of a rainfall-induced complex landslide in Wanzhou County, Three Gorges Reservoir, China

J Wang, L Xiao, J Zhang, Y Zhu - Landslides, 2020 - Springer
A rainfall-induced complex landslide occurred on April 4, 2013, in Wanzhou County, Three
Gorges Reservoir, China. Approximately 1.5× 10 6 m 3 of earth and rock mass slid over a …

Triggering and predisposing factors for flow-like landslides in pyroclastic soils: the case study of the Lattari Mts.(southern Italy)

G Forte, M Pirone, A Santo, MV Nicotera, G Urciuoli - Engineering Geology, 2019 - Elsevier
Shallow flowslides, debris flows and debris avalanches are rainfall-induced landslides
consisting in the shear failure of few metres of soils (or in some cases even less than a …

[HTML][HTML] Study of the groundwater regime in unsaturated slopes prone to landslides by multidisciplinary investigations: Experimental study and numerical modelling

M Pirone, R Di Maio, G Forte, C De Paola… - Engineering …, 2023 - Elsevier
The triggering of shallow landslides in granular deposits is highly controlled by the
groundwater regime, namely, the pore water pressure distribution, which directly affects soil …

Mechanical and hydraulic properties of unsaturated layered pyroclastic ashes in landslide-prone areas of Campania (Italy)

DC Roman Quintero, E Damiano, L Olivares… - Bulletin of Engineering …, 2024 - Springer
Air-fall pyroclastic soil deposits usually display a loose fabric composed of alternating layers
of ashes and pumices. Such deposits, when lying on steep slopes, represent a major …