Uncertainties analysis of collapse susceptibility prediction based on remote sensing and GIS: influences of different data-based models and connections between …

W Li, X Fan, F Huang, W Chen, H Hong, J Huang… - Remote Sensing, 2020 - mdpi.com
To study the uncertainties of a collapse susceptibility prediction (CSP) under the coupled
conditions of different data-based models and different connection methods between …

Engineering geology and ground collapse mechanism in the Chengchao Iron-ore Mine in China

K Xia, C Chen, Y Zheng, H Zhang, X Liu, Y Deng… - Engineering …, 2019 - Elsevier
The engineering geological and hydrogeological conditions in the eastern mining area of
the Chengchao Iron Mine are analyzed in detail. The results are combined with the results of …

Risk assessment of ground collapse along tunnels in karst terrain by using an improved extension evaluation method

K Zhang, W Zheng, Z Liao, H Xie, C Zhou… - … and Underground Space …, 2022 - Elsevier
Ground collapse is easily induced during tunnel construction in karst terrain and seriously
threatens the safety of humans and surface and underground facilities. To implement …

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 …

3-D digital outcrop model for analysis of brittle deformation and lithological mapping (Lorette cave, Belgium)

A Triantafyllou, A Watlet, S Le Mouélic… - Journal of Structural …, 2019 - Elsevier
Abstract Acquiring and building Digital Outcrop Models (DOM) becomes an essential
approach in geosciences. This study highlights the strong potential of Structure-from-motion …

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 …

Analysis of sinkhole triggering mechanisms in the hinterland of Naples (southern Italy)

AS di Santolo, G Forte, A Santo - Engineering geology, 2018 - Elsevier
This paper deals with the analysis and verification of the most frequently occurring triggering
mechanisms for sinkholes in urban areas over mine caves. The study analyzes the …

Empirical relationship for the estimate of pyroclastic soil thickness using slope steepness

G Forte, L Massaro, M De Falco, M Pirone, A Santo - Catena, 2023 - Elsevier
The assessment of soil thickness plays a primary role in different areas of the geosciences,
including landslide hazards and soil erosion assessment. Nevertheless, the thickness of the …

Investigation of the settlement mechanism and control measures of a super-large section tunnel in a giant karst cave using ultra-thick backfill method

Y Zheng, J Yan, R Su, S Ma, Y Li, X Wang… - … and Underground Space …, 2023 - Elsevier
A giant cave was encountered during the construction of the Yujingshan Tunnel. There were
deep deposits at the bottom of the giant cave, including soft soil, crushed stone soil, and fine …

Uncertainties of collapse susceptibility prediction based on remote sensing and GIS: Effects of different machine learning models

W Li, Y Shi, F Huang, H Hong, G Song - Frontiers in Earth Science, 2021 - frontiersin.org
For the issue of collapse susceptibility prediction (CSP), minimal attention has been paid to
explore the uncertainty characteristics of different machine learning models predicting …