Machine learning for landslides prevention: a survey

Z Ma, G Mei, F Piccialli - Neural Computing and Applications, 2021 - Springer
Landslides are one of the most critical categories of natural disasters worldwide and induce
severely destructive outcomes to human life and the overall economic system. To reduce its …

[HTML][HTML] Thermo-hydro-poro-mechanical responses of a reservoir-induced landslide tracked by high-resolution fiber optic sensing nerves

X Ye, HH Zhu, G Cheng, HF Pei, B Shi… - Journal of Rock …, 2024 - Elsevier
Thermo-poro-mechanical responses along sliding zone/surface have been extensively
studied. However, it has not been recognized that the potential contribution of other crucial …

Hydrological intensification will increase the complexity of water resource management

DL Ficklin, SE Null, JT Abatzoglou, KA Novick… - Earth's …, 2022 - Wiley Online Library
Global warming intensifies the hydrological cycle by altering the rate of water fluxes to and
from the terrestrial surface, resulting in an increase in extreme precipitation events and …

A FDEM 3D moisture migration-fracture model for simulation of soil shrinkage and desiccation cracking

C Yan, Y Zheng, W Ke, G Wang - Computers and Geotechnics, 2021 - Elsevier
This paper proposes a three-dimensional moisture migration model, which can simulate the
moisture migration process in soil. A simple moisture transport example with analytic …

[HTML][HTML] Speech-recognition in landslide predictive modelling: A case for a next generation early warning system

Z Fang, H Tanyas, T Gorum, A Dahal, Y Wang… - … Modelling & Software, 2023 - Elsevier
Traditional landslide early warnings are based on the notion that intensity-duration relations
can be approximated to single precipitation values cumulated over fixed time windows …

[HTML][HTML] A fast and robust method for detecting trend turning points in InSAR displacement time series

E Ghaderpour, B Antonielli, F Bozzano… - Computers & …, 2024 - Elsevier
Ground deformation monitoring is a crucial task in geohazard management to ensure the
safety of lives and infrastructure. Persistent scatterer interferometric synthetic aperture radar …

Compound risk dynamics of drought by extreme precipitation and temperature events in a semi-arid watershed

J Hu, Z Yang, C Hou, W Ouyang - Atmospheric Research, 2023 - Elsevier
With the acceleration of global warming, the correlations between climate factors and
drought events remain an important topic, presenting special consequences in arid and …

Extreme precipitation events and landslide activity in the Kashmir Himalaya

B Shah, A Alam, MS Bhat, S Ahsan, N Ali… - Bulletin of Engineering …, 2023 - Springer
Precipitation regimes in terms of magnitude, intensity, and frequency have a direct and
immediate impact on the occurrence of landslides. Kashmir Himalaya is a hotspot of …

Reconceptualising flood risk assessment by incorporating sediment supply

H Liu, J Du, Y Yi - Catena, 2022 - Elsevier
Sediments seriously increase flood risk. The lack of sediment data, as well as uncertainty in
sediment yield and transport modeling, hampers the incorporation of sediment into flood risk …

Three decades of landslide activity in western Nepal: new insights into trends and climate drivers

A Muñoz-Torrero Manchado, S Allen… - Landslides, 2021 - Springer
In recent decades, landslide disasters in the Himalayas, as in other mountain regions, are
widely reported to have increased. While some studies have suggested a link to increasing …