Does machine learning adequately predict earthquake induced landslides?
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 …
while; however, studies using real-time earthquake induced landslide data are barely used …
Coseismic landslides induced by the 2018 Mw 6.6 Iburi, Japan, Earthquake: spatial distribution, key factors weight, and susceptibility regionalization
M Chang, Y Zhou, C Zhou, TC Hales - Landslides, 2021 - Springer
This research aims to explore detailed spatial distribution characteristics, identify key factors
weight, and establish an accurate susceptibility regionalization model of coseismic …
weight, and establish an accurate susceptibility regionalization model of coseismic …
The spatial distribution characteristics of coseismic landslides triggered by the Ms7. 0 Lushan earthquake and Ms7. 0 Jiuzhaigou earthquake in southwest China
M Chang, P Cui, L Xu, Y Zhou - Environmental Science and Pollution …, 2021 - Springer
In recent years, a series of earthquakes have occurred in Sichuan province, southwest
China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within …
China. On April 20, 2013, 1013 landslides were triggered in the Lushan earthquake within …
SPT blow count vs. shear wave velocity relationship in the structurally complex formations of the Molise Region (Italy)
The relationship between the shear wave velocity (VS) and the blow number of the Standard
Penetration Tests (N SPT) was investigated with reference to the structurally complex …
Penetration Tests (N SPT) was investigated with reference to the structurally complex …
Topographic amplification and debris remobilization as a cause for increasing rockfall hazard in seismic areas: A case study in Central Italy
The long-lasting earthquake sequence of Central Italy in 2016 triggered around 1370
landslides, most of which were observed close to ridge areas. The area of San Pellegrino di …
landslides, most of which were observed close to ridge areas. The area of San Pellegrino di …
An integrated approach to earthquake-induced landslide hazard zoning based on probabilistic seismic scenario for Phlegrean Islands (Ischia, Procida and Vivara) …
In this study we present an integrated approach to assess earthquake-induced landslide
hazard at the source area of the slope instability process. The method has been applied to …
hazard at the source area of the slope instability process. The method has been applied to …
A geolithological approach to seismic site classification: an application to the Molise Region (Italy)
G Forte, S Fabbrocino, G Fabbrocino… - Bulletin of Earthquake …, 2017 - Springer
Seismic site classification is a critical issue in order to reliably predict seismic ground motion
parameters for the development of microzonation maps and site-specific hazard studies …
parameters for the development of microzonation maps and site-specific hazard studies …
Spatial distribution analysis of landslides triggered by the 2013-04-20 Lushan earthquake, China
M Chang, C Tang, C Xia, Q Fang - Earthquake engineering and …, 2016 - Springer
Abstract The 2013-04-20 Lushan earthquake (seismic magnitude M s 7.0 according to the
State Seismological Bureau) induced a large number of landslides. In this study, spatial …
State Seismological Bureau) induced a large number of landslides. In this study, spatial …
Multi-level approach for zonation of seismic slope stability: Experiences and perspectives in Italy
F Silvestri, G Forte, M Calvello - Landslides and engineered …, 2018 - taylorfrancis.com
The paper proposes updated approaches for Level I and II analyses of seismic slope
stability, suitable for microzonation maps. The Level I procedure is based on multi-variate …
stability, suitable for microzonation maps. The Level I procedure is based on multi-variate …
Some limits in the use of the MASW technique in soils with inclined layers
L Evangelista, F Santucci de Magistris - Geotechnical and Geological …, 2015 - Springer
The surface wave method is a characterization technique that allows obtaining the shear
wave velocity profiles trough the measurement of the dispersion of surface waves coupled …
wave velocity profiles trough the measurement of the dispersion of surface waves coupled …