Regional early warning model for rainfall induced landslide based on slope unit in Chongqing, China

S Liu, J Du, K Yin, C Zhou, C Huang, J Jiang, J Yu - Engineering Geology, 2024 - Elsevier
Recent advances in the diversity and systematization of design methods and real-time data
have led to a general elevation in spatio-temporal accuracy for regional landslide early …

Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation

N Nocentini, C Medici, F Barbadori, A Gatto… - Landslides, 2024 - Springer
This study proposes an innovative approach to develop a regional-scale landslide
forecasting model based on rainfall thresholds optimized for operational early warning. In …

Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility

RS Ajin, S Segoni, R Fanti - Scientific Reports, 2024 - nature.com
In this study, a landslide susceptibility assessment is performed by combining two machine
learning regression algorithms (MLRA), such as support vector regression (SVR) and …

Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning

F Caleca, P Confuorto, F Raspini, S Segoni… - Science of the total …, 2024 - Elsevier
Extreme rainfall events represent one of the main triggers of landslides. As climate change
continues to reshape global weather patterns, the frequency and intensity of such events are …

The downward spiral entangling soil sealing and hydrogeological disasters

A Gatto, F Martellozzo, L Ciulla… - Environmental Research …, 2024 - iopscience.iop.org
The frequency of occurrence of hydrogeological disasters (HGDs), as well as the
persistence of their impacts, are not evenly distributed. Hazardous areas, by definition, are …

Insights gained from the review of landslide susceptibility assessment studies in Italy

S Segoni, RS Ajin, N Nocentini, R Fanti - Remote Sensing, 2024 - flore.unifi.it
We conducted a systematic literature review of 105 landslide susceptibility studies in Italy
from 1980 to 2023, retrieved from the Scopus database. We discovered that Italian …

[HTML][HTML] A comparative study of regional rainfall-induced landslide early warning models based on RF、 CNN and MLP algorithms

Y Liu, S Ma, L Dong, R Xiao, J Huang… - Frontiers in Earth …, 2024 - frontiersin.org
Landslide disasters, due to their widespread distribution and clustered occurrences, pose a
significant threat to human society. Rainfall is considered a primary triggering factor, and the …

Improved landslide prediction by considering continuous and discrete spatial dependency

Z Fang, JJ Wang, Y Wang, B Du, G Liu - Landslides, 2024 - Springer
Landslide spatial prediction studies predominantly focus on estimating the likelihood of
landslide occurrence by considering a set of geo-environmental factors. Nevertheless, most …

[HTML][HTML] Geological Hazard Identification and Susceptibility Assessment Based on MT-InSAR

Z Lu, H Yang, W Zeng, P Liu, Y Wang - Remote Sensing, 2023 - mdpi.com
Geological hazards often occur in mountainous areas and are sudden and hidden, so it is
important to identify and assess geological hazards. In this paper, the western mountainous …

[HTML][HTML] SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment

A Abbate, L Mancusi - Water, 2024 - mdpi.com
Powerlines are strategic infrastructures for the Italian electro-energetic network, and natural
threats represent a potential risk that may influence their operativity and functionality. Geo …