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New Advances in Engineering Seismology

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 January 2026 | Viewed by 353

Special Issue Editors


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Guest Editor
Swiss Seismological Service (SED), ETH Zürich, NO H 55, Sonneggstrasse 5, 8092 Zürich, Switzerland
Interests: seismic hazard and risk; ground motion simulation; site effects; building vulnerability; ambient noise analysis; machine learning

Special Issue Information

Dear Colleagues,

Recent earthquakes have reminded us just how much we still have to learn about seismic hazards and their devastating effects on our communities. While we have made significant advances in our understanding of earthquake processes, the rapid growth of urbanization in seismically active regions presents new challenges that demand innovative solutions in terms of the modeling, monitoring, and management earthquakes’ effects across multiple spatial and temporal scales.

This Special Issue seeks to showcase the exciting developments happening at the intersection of seismology, engineering, and data science, and we welcome contributions that present methodological advances and interdisciplinary approaches, ranging from numerical simulations and hybrid physics–AI frameworks to high-resolution seismic hazard and risk assessments. Particular attention is paid to studies incorporating distributed acoustic sensing (DAS), ambient noise interferometry, or machine learning to improve source characterization, site response modeling, and ground motion prediction.

What excites us most about this field right now is how researchers are tackling real-world problems; from developing early warning systems that can save lives to creating more accurate site-specific hazard maps for critical infrastructure, the practical impact of our work has never been clearer. We welcome studies that demonstrate how new methodologies translate into better risk assessment, improved building codes, or more effective emergency response strategies and decision-making.

We encourage submissions that tell compelling stories about methodological breakthroughs, unexpected findings, or interdisciplinary collaborations that have opened up new research directions. Case studies from recent earthquakes, innovative monitoring campaigns, studies integrating structural vulnerability and soil–structure interactions, multi-hazard frameworks, or novel computational approaches are all also welcome. The goal is to bring together research that strengthens the scientific foundations and practical tools of engineering seismology in support of resilient infrastructure and communities.

Dr. Afifa Imtiaz
Dr. Antonio Cavallaro
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • seismic hazard assessment
  • ground motion simulation and validation
  • site response analysis
  • distributed acoustic sensing
  • machine learning applications in seismology
  • ambient noise interferometry
  • early warning and real-time monitoring
  • urban seismic risk and resilience
  • structural vulnerability
  • multi-hazard frameworks

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Published Papers (1 paper)

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Research

18 pages, 5731 KB  
Article
Variation in Seismic Wave Velocities at Shallow Depth and the Masking of Nonlinear Soil Behavior Based on the ARGONET (Cephalonia, Greece) Vertical Array Data
by Zafeiria Roumelioti, Fabrice Hollender, Nikolaos Theodoulidis and Ioannis Grendas
Appl. Sci. 2025, 15(19), 10727; https://doi.org/10.3390/app151910727 - 5 Oct 2025
Viewed by 147
Abstract
We investigate the variation in shear-wave velocity (VS) in the shallow soil of the ARGONET vertical array in Cephalonia, Greece, utilizing an extensive 8–10-year dataset of earthquake records and applying seismic interferometry by deconvolution and Generalized Additive Models (GAMs). We [...] Read more.
We investigate the variation in shear-wave velocity (VS) in the shallow soil of the ARGONET vertical array in Cephalonia, Greece, utilizing an extensive 8–10-year dataset of earthquake records and applying seismic interferometry by deconvolution and Generalized Additive Models (GAMs). We identify and quantify the contributions of seasonal variation, soil anisotropy, soil nonlinearity, and long-term VS changes. Of the examined factors, nonlinearity produces the strongest VS changes in the form of reduction of up to several tens of m/s. The azimuthal and seasonal partial effects appear similar in strength. However, VS also exhibits year-to-year variation, with lower levels likely linked to the slow recovery of the soil following strong earthquakes in the broader region. When this partial effect is also considered, the temporal variation of VS is more significant than the azimuthal variation. We also observed that strong weather phenomena, such as the unusual hurricane “Ianos” that hit western Greece in 2020, are captured in our model through tensor interaction terms. Our model can identify VS drops related to nonlinear soil behavior even when masked by other effects. We demonstrate and verify this through seismic interferometry to stepwise increasing parts of earthquake recordings highlighting these within-events or coseismic VS drops. Full article
(This article belongs to the Special Issue New Advances in Engineering Seismology)
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