Injection-induced seismic risk management using machine learning methodology–a perspective study

M He, Q Li, X Li - Frontiers in Earth Science, 2020 - frontiersin.org
Effective identification of induced seismicity and real-time management of seismic risks are
hot topics due to increasing induced seismicity in areas related to energy exploitation …

A machine learning framework for assessing seismic hazard safety of reinforced concrete buildings

E Harirchian, V Kumari, K Jadhav, R Raj Das… - Applied Sciences, 2020 - mdpi.com
Although averting a seismic disturbance and its physical, social, and economic disruption is
practically impossible, using the advancements in computational science and numerical …

A synthesized study based on machine learning approaches for rapid classifying earthquake damage grades to RC buildings

E Harirchian, V Kumari, K Jadhav, S Rasulzade… - Applied Sciences, 2021 - mdpi.com
A vast number of existing buildings were constructed before the development and
enforcement of seismic design codes, which run into the risk of being severely damaged …

Local and regional evaluation of liquefaction potential index and liquefaction severity number for liquefaction-induced sand boils in Pohang, South Korea

HS Kim, M Kim, LG Baise, B Kim - Soil Dynamics and Earthquake …, 2021 - Elsevier
An earthquake of moment magnitude 5.4 occurred on November 15, 2017 in Pohang, South
Korea. This earthquake is the second largest instrumented earthquake ever recorded in …

Long-term remote monitoring of ground deformation using sentinel-1 interferometric synthetic aperture radar (InSAR): Applications and insights into geotechnical …

R Ramirez, SR Lee, TH Kwon - Applied Sciences, 2020 - mdpi.com
Development of synthetic aperture radar (SAR) technology and the dedicated suite of
processing tools have aided the evolution of remote sensing techniques for various Earth …

Shaking table test on dynamic damage characteristics of bedrock and overburden layer slopes

X Tong, J Lian, C Yang… - Journal of Testing …, 2023 - asmedigitalcollection.asme.org
This article performs groups of shaking table tests to study the dynamic damage
characteristics of the slope that is composed with inclined bedrock, upper overburden soil …

Improvement of earthquake risk awareness and seismic literacy of Korean citizens through earthquake vulnerability map from the 2017 pohang earthquake, South …

J Han, AS Nur, M Syifa, M Ha, CW Lee, KY Lee - Remote Sensing, 2021 - mdpi.com
Earthquake activities in and around the Korean Peninsula are relatively low in number and
intensity compared with neighboring countries such as Japan and China. However, recent …

[HTML][HTML] Evaluation of liquefaction-induced settlement using random forest and REP tree models: taking pohang earthquake as a case of illustration

M Ahmad, X Tang, F Ahmad - Natural Hazards-Impacts …, 2020 - intechopen.com
A liquefaction-induced settlement assessment is considered one of the major challenges in
geotechnical earthquake engineering. This paper presents random forest (RF) and reduced …

Site flatfile of Korea meteorological administration's seismic stations in Korea

HI Cho, MG Lee, JK Ahn, CG Sun, HS Kim - Bulletin of Earthquake …, 2022 - Springer
This study constructed a flatfile with the information useful to satisfy the site characterization
requirements of Korea Meteorological Administration's seismic network, which was …

[HTML][HTML] Geospatial data-driven assessment of earthquake-induced liquefaction impact mapping using classifier and cluster ensembles

HS Kim - Applied Soft Computing, 2023 - Elsevier
Abstract A 5.4 ML earthquake occurred on November 15, 2017, in Pohang, South Korea.
This earthquake was the second largest recorded earthquake in South Korea and had …