The November 2017 Mw 5.5 Pohang earthquake: A possible case of induced seismicity in South Korea
The moment magnitude (M w) 5.5 earthquake that struck South Korea in November 2017
was one of the largest and most damaging events in that country over the past century. Its …
was one of the largest and most damaging events in that country over the past century. Its …
Bayesian network-based seismic damage estimation for power and potable water supply systems
As critical infrastructures being more interdependent with each other and vulnerable to
natural disasters, assessment of cascading failure in the coupled system becomes a …
natural disasters, assessment of cascading failure in the coupled system becomes a …
Machine‐learning‐based surface ground‐motion prediction models for South Korea with low‐to‐moderate seismicity
Ground‐motion prediction models (GMPMs) have been developed to estimate seismic
intensity considering earthquake magnitude, source‐to‐site distance, site condition, and so …
intensity considering earthquake magnitude, source‐to‐site distance, site condition, and so …
Seismic hazard assessment for the Korean Peninsula
ABSTRACT The Korean Peninsula is located in a stable intraplate region with low‐
seismicity rates and long recurrence intervals of major earthquakes. Recent moderate‐size …
seismicity rates and long recurrence intervals of major earthquakes. Recent moderate‐size …
Linearly combined ground motion model using quadratic programming for low-to mid-size seismicity region: South Korea
This study suggests a linearly combined ground motion model (GMM) optimized for the
within-rock conditions of South Korea. Ground motions recorded by accelerometers …
within-rock conditions of South Korea. Ground motions recorded by accelerometers …
Rainfall-earthquake-induced landslide hazard prediction by Monte Carlo simulation: a case study of MT. Umyeon in Korea
VBQ Nguyen, YT Kim - KSCE Journal of Civil Engineering, 2020 - Springer
Rainfall and earthquakes are two major triggers for landslides. To assess annual rainfall-
earthquake-induced landslide hazards, an ensemble model containing three modules: an …
earthquake-induced landslide hazards, an ensemble model containing three modules: an …
Accelerated system-level seismic risk assessment of bridge transportation networks through artificial neural network-based surrogate model
Featured Application Post-hazard flow capacity of the lifeline network and recovery strategy
against natural disaster. Abstract In this study, an artificial neural network (ANN)-based …
against natural disaster. Abstract In this study, an artificial neural network (ANN)-based …
Earthquake Magnitude Estimation through Mixed‐Effects Ground‐Motion Modeling of Early P‐Wave Arrivals
N Sharma, M Ravi Kumar… - Seismological …, 2024 - pubs.geoscienceworld.org
A regional earthquake early warning system (EEWS) warrants potential predictive models to
accurately extract earthquake parameters like magnitude and intensity from the first few …
accurately extract earthquake parameters like magnitude and intensity from the first few …
[HTML][HTML] Comparative study of the seismic resilience of transportation networks according to bridge recovery priority
성식윤 - Journal of the Korean Society of Hazard Mitigation, 2023 - j-kosham.or.kr
Recently, frequent earthquakes have damaged bridge structures, causing great
inconvenience owing to the disruption of transportation networks and increasing travel time …
inconvenience owing to the disruption of transportation networks and increasing travel time …
Development of seismic intensity maps using low-cost micro-electro-mechanical systems seismic network
The low-cost IoT seismometer (LCIS), which embeds a micro-electro-mechanical systems
accelerometer and LTE communication sensor, has been developed and deployed in South …
accelerometer and LTE communication sensor, has been developed and deployed in South …