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[HTML][HTML] Scientific challenges in disaster risk reduction for the Sichuan–Tibet Railway
Abstract Traversing the Qinghai–Tibetan Plateau, the Sichuan–Tibet Railway is by far the
most difficult railway project in the world. The Qinghai–Tibetan Plateau features the most …
most difficult railway project in the world. The Qinghai–Tibetan Plateau features the most …
Comparison of LiDAR-and UAV-derived data for landslide susceptibility map** using Random Forest algorithm
F França Pereira, T Sussel Gonçalves Mendes… - Landslides, 2023 - Springer
Earthquakes, extreme rainfall, or human activity can all cause landslides. Several landslides
occur each year around the world, often resulting in casualties and economic …
occur each year around the world, often resulting in casualties and economic …
[HTML][HTML] Application of soft computing techniques for shallow foundation reliability in geotechnical engineering
This research focuses on the application of three soft computing techniques including
Minimax Probability Machine Regression (MPMR), Particle Swarm Optimization based …
Minimax Probability Machine Regression (MPMR), Particle Swarm Optimization based …
Coastal flood induced salinity intrusion risk assessment using a spatial multi-criteria approach in the South-Western Bangladesh
T Akter, MAA Hoque, SA Mukul, B Pradhan - Earth Systems and …, 2025 - Springer
Bangladesh is extremely vulnerable to sea-level rise and other climate-induced extreme
events, such as flooding, storm surge, and salinity intrusion. The south-western coastal …
events, such as flooding, storm surge, and salinity intrusion. The south-western coastal …
Seismic vulnerability assessment model of civil structure using machine learning algorithms: a case study of the 2014 Ms6. 5 Ludian earthquake
H Zhou, A Che, X Shuai, Y Cao - Natural Hazards, 2024 - Springer
Constructing a seismic vulnerability assessment model is crucial for emergency response
and mitigating seismic risk. In the wake of increased usage of machine learning, it helps the …
and mitigating seismic risk. In the wake of increased usage of machine learning, it helps the …
Spatio-temporal variation in desert vulnerability using desertification index over the Banas River Basin in Rajasthan, India
Desertification is a major environmental problem at global and regional levels with drastic
impacts on agriculture, water resource, and the economy. In this study, an attempt has been …
impacts on agriculture, water resource, and the economy. In this study, an attempt has been …
Development of hierarchical sub-surface energy anomaly index and its significance on seismic hazard study through geoinformatics in Lower Tista sub-basin, India
S Ghosh, R Sivakumar - Arabian Journal of Geosciences, 2024 - Springer
A significant amount of energy is released from sub-surface during an earthquake which is
caused by seismotectonic activity. The occurrences of earthquake and its distribution pattern …
caused by seismotectonic activity. The occurrences of earthquake and its distribution pattern …