Results 11 to 20 of about 89 (88)

Validation of ShakeMaps Created From Global Navigation Satellite System (GNSS) Velocities

Earthquake Spectra, Volume 42, Issue 3, August 2026.
Ground velocity observations generated through a time difference of Global Navigation Satellite Systems (GNSS) phase observables and orbits have been shown to be comparable to seismic recordings without clipping during intense ground motions. Computing GNSS velocities is also computationally scalable and increases the density of ground motion ...
Jensen V. DeGrande, Brendan W. Crowell
wiley   +1 more source

A Performance‐Based Earthquake Fatality Modeling Framework Using Collapse Volume Ratios

Earthquake Spectra, Volume 42, Issue 2, May 2026.
Conventional earthquake fatality models are commonly implemented using a binary representation of building collapse, an assumption that overlooks severe failure modes and systematically underestimates fatalities. To address this limitation, this study advances the collapse volume ratio—a continuous metric quantifying the reduction of survivable space ...
Luis Ceferino, Yinchen Yi, Wenxiao Li, Yvonne Merino, Luis Moya, Kimberley Shoaf, Emily So   +6 more
wiley   +1 more source

Dual-proxy estimation of Vs30: the case study of the Marche Region (central Italy)

Journal of Maps
This study focuses on generating a shear-wave velocity averaged within the uppermost 30 m of the ground surface (Vs30) map for the Marche region (central Italy) using two commonly acknowledged proxies: topographic slope and lithological classification ...
Veronica Gironelli, Tiziano Volatili, Lucia Luzi, Giulio Brunelli, Emanuele Tondi   +4 more
doaj   +1 more source

A Temporal Look at the Influence of Topographic Amplification on Earthquake‐Triggered Landslides in 3D Seismic Simulations

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Earthquakes are a primary trigger for landslides, often leading to catastrophic consequences. While numerous studies have explored the spatial distribution of earthquake‐triggered landslides, understanding the interaction between seismic waves and topography remains a critical challenge.
Emerald Awuor, Audrey Dunham, Hakan Tanyas, Islam Fadel   +3 more
wiley   +1 more source

Bayesian maximum entropy interpolation analysis for rapid assessment of seismic intensity using station and ground motion prediction equations

Frontiers in Earth Science
In this paper, we explored the combination of seismic station data and ground motion prediction equations (GMPE) to predict seismic intensity results by using Bayesian Maximum Entropy (BME) method.
Dengjie Kang, Wenkai Chen, Yijiao Jia
doaj   +1 more source

Beyond Deaths and Dollars: Modeling Requirements to Support Equity‐Focused Disaster Risk Management

Earthquake Spectra, Volume 42, Issue 1, February 2026.
The disaster risk modeling framework has long focused on quantifiable impact metrics to assess a hazard's potential direct effects, such as fatalities (deaths) and economic losses (dollars). Over time, as the framework has expanded to inform both public and private applications, additional impact metrics that more directly consider the societal roots ...
Sabine Loos, Marísa Macías, Madeline Karr, Lori Peek   +3 more
wiley   +1 more source

Predicting Seismic Debris Distributions of Collapsed Unreinforced Masonry Structures Through Physics Engines and Machine Learning Algorithms

Earthquake Spectra, Volume 42, Issue 1, February 2026.
Unreinforced masonry (URM) structures are widespread worldwide, particularly in older urban districts. However, URM buildings—particularly those constructed before the introduction of modern building codes—are highly vulnerable to seismic hazard, and prone to experiencing local and/or global failures when subjected to significant horizontal shaking ...
Jiadaren Liu, Ersilia Giordano, Daniele Malomo   +2 more
wiley   +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, Elizabeth Reddy, Elijah Knodel, Sean McGowan, Sabine Loos   +4 more
wiley   +1 more source

Coseismic Landslide Area Prediction Using Generalised Additive Model: A Case Study of the 2013 Minxian Earthquake

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

Deep Learning–Based Automated Crack Detection for Post‐Earthquake Damage Assessment in Reinforced Concrete Structures

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, Serhat Demir, Vagelis Plevris   +2 more
wiley   +1 more source