Results 31 to 40 of about 682 (123)
Geomorphic and geologic controls of geohazards induced by Nepal’s 2015 Gorkha earthquake [PDF]
, 2016 The Gorkha earthquake (M 7.8) on 25 April 2015 and later aftershocks struck South Asia, killing ~9,000 and damaging a large region. Supported by a large campaign of responsive satellite data acquisitions over the earthquake disaster zone, our team ...
Hudnut, K., Kargel, J. S.
core
Finite-Fault Rupture Detector (FinDer): Going Real-Time in Californian ShakeAlert Warning System [PDF]
, 2015 Rapid detection of local and regional earthquakes and issuance of fast alerts for impending shaking is considered beneficial to save lives, reduce losses, and shorten recovery times after destructive events (Allen et al., 2009). Over the last two decades,
Böse, M., Felizardo, C., Heaton, T. H.
core +1 more source
Operationalizing Equity: How Disaggregated Risk Metrics Support Equity in Emergency Management
Earthquake Spectra, Volume 42, Issue 1, February 2026.While numerous studies show that natural hazards disproportionately impact socially vulnerable populations, approaches to integrate social equity into emergency management to reduce such vulnerability have been ill‐defined and inconsistent. Considering earthquake disasters, emergency managers often lack information from near‐real‐time seismic loss ...
Marísa Macías +4 more
wiley +1 more source
Multicriteria Fuzzy Analysis for a GIS-Based Management of Earthquake Scenarios [PDF]
, 2018 Objective of this article is the formulation andthe implementation of a decision-making model for theoptimal management of emergencies. It is based on theaccurate definition of possible scenarios resulting fromprediction and prevention strategies and ...
DE GREGORIO, Daniela +3 more
core +1 more source
Geoscience Data Journal, Volume 13, Issue 1, January 2026.Comparison between observed and predicted landslide areas in log scale. ABSTRACT This study aims to establish a regional model for predicting seismic landslide areas. Using the 2013 Minxian earthquake‐induced landslide database as the research foundation, mathematical statistics and GIS techniques were applied to predict landslide areas through the ...
Xiaoyi Shao, Chong Xu, Siyuan Ma
wiley +1 more source
Macro-scale vulnerability assessment of cities using Association Rule Learning [PDF]
, 2014 International audienceIn this paper, a datamining method based on Association Rule Learning (ARL) is applied to define a vulnerability proxy between the elementary characteristics of buildings and the vulnerability classes of the European Macroseismic ...
Cottaz, Stéphanie +3 more
core +3 more sources
Advances in Civil Engineering, Volume 2026, Issue 1, 2026.This study explores the integration of deep learning technologies, specifically U‐Net based segmentation methods, for evaluating earthquake‐induced damages. The study leverages a dataset derived from the Kahramanmaraş earthquake to train and test deep learning models capable of identifying and quantifying structural damages such as concrete cracks. The
Kemal Hacıefendioğlu +2 more
wiley +1 more source
Characterizing Average Properties of Southern California Ground Motion Amplitudes and Envelopes [PDF]
, 2009 We examine ground motion envelopes of horizontal and vertical acceleration, velocity, and filtered displacement recorded within 200 km from southern California earthquakes in the magnitude range 2 5 range typically considered for strong motion ...
Cua, Georgia, Heaton, Thomas H.
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CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning [PDF]
, 2014 Real-time applications such as earthquake early warning (EEW) typically use empirical ground-motion prediction equations (GMPEs) along with event magnitude and source-to-site distances to estimate expected shaking levels.
Böse, Maren +4 more
core +1 more source
Earthquake Engineering &Structural Dynamics, Volume 54, Issue 15, Page 3828-3845, December 2025.ABSTRACT This study compares two approaches for determining earthquake magnitude (M) and source‐to‐site distance (R) to assess seismic scenarios in Italy. The first method relies on geological criteria from the Italian seismogenic sources database (DISS3.3.0), while the second method uses historical earthquakes from the DBMI‐CPTI15 Italian catalogue ...
Sgobba Sara +3 more
wiley +1 more source