Dynamic development of landslide susceptibility based on slope unit and deep neural networks

Y Hua, X Wang, Y Li, P Xu, W Xia - Landslides, 2021 - Springer
Abstract The Three Gorges Reservoir is one of the areas with the most serious landslide
hazards in China. Landslide susceptibility indicates where landslides are prone to occur in …

A modelling study of rainfall-induced shallow landslide mechanisms under different rainfall characteristics

Q Ran, Y Hong, W Li, J Gao - Journal of Hydrology, 2018 - Elsevier
Rainfall-induced shallow landslide is a common geological hazard around the world that
can pose serious threat to both lives and property. Previous studies suggested that rainfall …

The use of soil moisture and pore-water pressure sensors for the interpretation of landslide behavior in small-scale physical models

J Peranić, N Čeh, Ž Arbanas - Sensors, 2022 - mdpi.com
This paper presents some of the results and experiences in monitoring the hydraulic
response of downscaled slope models under simulated rainfall in 1 g. The downscaled …

X-SLIP: A SLIP-based multi-approach algorithm to predict the spatial–temporal triggering of rainfall-induced shallow landslides over large areas

MPA Gatto, L Montrasio - Computers and Geotechnics, 2023 - Elsevier
This paper describes the implementation of a multi-approach algorithm for the spatial and
temporal prediction of soil slips over large areas, based on a simplified physically-based …

Applicability and performance of deterministic and probabilistic physically based landslide modeling in a data-scarce environment of the Colombian Andes

RJ Marin, MF Velásquez, O Sánchez - Journal of South American Earth …, 2021 - Elsevier
Physically based models have been widely used around the world to study landslide
occurrence. The accuracy in a physically based landslide susceptibility/hazard assessment …

Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study

L Schilirò, L Montrasio, GS Mugnozza - Science of the total environment, 2016 - Elsevier
In recent years, physically-based numerical models have frequently been used in the
framework of early-warning systems devoted to rainfall-induced landslide hazard monitoring …

[HTML][HTML] Development of a landslide early warning system in Indonesia

R Hidayat, SJ Sutanto, A Hidayah, B Ridwan… - Geosciences, 2019 - mdpi.com
Landslides are one of the most disastrous natural hazards in Indonesia, in terms of number
of fatalities and economic losses. Therefore, Balai Litbang Sabo (BLS) has developed a …

A GIS-based probabilistic analysis model for rainfall-induced shallow landslides in mountainous areas

C Li, C Guo, X Yang, H Li, J Zhou - Environmental Earth Sciences, 2022 - Springer
Landslides are serious natural disasters frequently occurring in the mountainous areas
along the Sichuan–Tibet railway. Landslides are often induced by rainfall and greatly …

A simplified semi-quantitative procedure based on the SLIP model for landslide risk assessment: The case study of Gioiosa Marea (Sicily, Italy)

MPA Gatto, V Lentini, L Montrasio, F Castelli - Landslides, 2023 - Springer
Landslide risk assessment is fundamental in identifying risk areas, where mitigation
measures must be introduced. Most of the existing methods are based on susceptibility …

Investigation on the role of water for the stability of shallow landslides—Insights from experimental tests

V Ivanov, D Arosio, G Tresoldi, A Hojat, L Zanzi… - Water, 2020 - mdpi.com
Shallow soil slips are a significant hydrogeological hazard which could affect extended
areas of the high-gradient mountainous landscape. Their triggering is highly dependent on …