Seismic risk regularization for urban changes due to earthquakes: A case of study of the 2023 turkey earthquake sequence
A Portillo, L Moya - Remote Sensing, 2023 - mdpi.com
Damage identification soon after a large-magnitude earthquake is a major problem for early
disaster response activities. The faster the damaged areas are identified, the higher the …
disaster response activities. The faster the damaged areas are identified, the higher the …
Beyond tsunami fragility functions: experimental assessment for building damage estimation
Tsunami fragility functions (TFF) are statistical models that relate a tsunami intensity
measure to a given building damage state, expressed as cumulative probability. Advances …
measure to a given building damage state, expressed as cumulative probability. Advances …
MPM–FEM hybrid method for granular mass–water interaction problems
The present study proposes an MPM (material point method)–FEM (finite element method)
hybrid analysis method for simulating granular mass–water interaction problems, in which …
hybrid analysis method for simulating granular mass–water interaction problems, in which …
Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia
Tephra from large explosive eruptions can cause damage to buildings over wide
geographical areas, creating a variety of issues for post-eruption recovery. This means that …
geographical areas, creating a variety of issues for post-eruption recovery. This means that …
Field insights and analysis of the 2018 Mw 7.5 Palu, Indonesia earthquake, tsunami and landslides
MG Cilia, WD Mooney, C Nugroho - Pure and Applied Geophysics, 2021 - Springer
A devastating Mw 7.5 earthquake and tsunami struck northwestern Sulawesi, Indonesia on
28 September 2018, causing over 4000 fatalities and severe damage to several areas in …
28 September 2018, causing over 4000 fatalities and severe damage to several areas in …
Learning from the 2018 Western Japan heavy rains to detect floods during the 2019 Hagibis typhoon
Applications of machine learning on remote sensing data appear to be endless. Its use in
damage identification for early response in the aftermath of a large-scale disaster has a …
damage identification for early response in the aftermath of a large-scale disaster has a …
Disaster intensity-based selection of training samples for remote sensing building damage classification
Previous applications of machine learning in remote sensing for the identification of
damaged buildings in the aftermath of a large-scale disaster have been successful …
damaged buildings in the aftermath of a large-scale disaster have been successful …
[HTML][HTML] Characteristics of building fragility curves for seismic and non-seismic tsunamis: case studies of the 2018 Sunda Strait, 2018 Sulawesi–Palu, and 2004 Indian …
Indonesia has experienced several tsunamis triggered by seismic and non-seismic (ie,
landslides) sources. These events damaged or destroyed coastal buildings and …
landslides) sources. These events damaged or destroyed coastal buildings and …
Hard lessons of the 2018 Indonesian tsunamis
VV Titov - Pure and Applied Geophysics, 2021 - Springer
Within 4 months of 2018, two fatal tsunamis struck islands of Indonesia with ferocity that
astonished local population, tsunami warning systems and scientists. For both of these …
astonished local population, tsunami warning systems and scientists. For both of these …
[HTML][HTML] Empirical tsunami fragility modelling for hierarchical damage levels
F Jalayer, H Ebrahimian… - Natural hazards and …, 2023 - nhess.copernicus.org
The present work proposes a simulation-based Bayesian method for parameter estimation
and fragility model selection for mutually exclusive and collectively exhaustive (MECE) …
and fragility model selection for mutually exclusive and collectively exhaustive (MECE) …