Seismological Research and Seismic Hazard & Risk Assessments

A special issue of GeoHazards (ISSN 2624-795X).

Deadline for manuscript submissions: 15 March 2026 | Viewed by 1553

Special Issue Editors


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Guest Editor
Institute of Physics of the Earth’s Interior & Geohazards, Hellenic Mediterranean University Research Centre, 73133 Crete, Greece
Interests: earthquake seismology; historical seismology; earthquake and tsunami impact; tsunami risk assessment; GIS

E-Mail Website
Guest Editor
German Research Center for Geoscience, Potsdam, Germany
Interests: earthquake risk and exposure; earthquake forecast modelling; statistical seismology; seismicity analysis; earthquake scaling; earthquake physics

Special Issue Information

Dear Colleagues,

Seismological research plays a crucial role in understanding earthquake mechanisms, assessing seismic hazards, and mitigating risks to communities and infrastructure. The Special Issue, entitled “Seismological Research and Seismic Hazard & Risk Assessments”, brings together cutting-edge studies on seismic source characterization, ground motion modeling, probabilistic and deterministic hazard and risk assessments, and early warning systems. We invite contributions to explore the role of rapid ground motion forecasting, earthquake early warning systems, and real-time data assimilation in probabilistic hazard and risk models. By emphasizing the integration of real-time data streams into hazard and risk mitigation strategies, this Special Issue aims to advance predictive capabilities and enhance disaster resilience in earthquake-prone areas. Case studies from seismically active regions provide insights into earthquake recurrence patterns, fault interactions, and site-specific risk assessments, and demonstrate the effectiveness of real-time analysis in assessing fault activity, rupture dynamics, and evolving seismic risk. By bridging fundamental seismological research with applications in hazard mitigation strategies, this Special Issue aims to provide insight into preparedness and to support policy decisions in earthquake-prone regions worldwide.

Dr. Ioanna Triantafyllou
Dr. Danijel Schorlemmer
Guest Editors

Manuscript Submission Information

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Keywords

  • seismicity analysis
  • probabilistic seismic hazard
  • source modeling
  • early warning system
  • dynamic earthquake risk assessment

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Published Papers (1 paper)

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Research

16 pages, 3833 KiB  
Article
Seven Thousand Felt Earthquakes in Oklahoma and Kansas Can Be Confidently Traced Back to Oil and Gas Activities
by Iason Grigoratos, Alexandros Savvaidis and Stefan Wiemer
GeoHazards 2025, 6(3), 36; https://doi.org/10.3390/geohazards6030036 - 15 Jul 2025
Viewed by 179
Abstract
The seismicity levels in Oklahoma and southern Kansas have increased dramatically over the last 15 years. Past studies have identified the massive disposal of wastewater co-produced during oil and gas extraction as the driving force behind some earthquake clusters, with a small number [...] Read more.
The seismicity levels in Oklahoma and southern Kansas have increased dramatically over the last 15 years. Past studies have identified the massive disposal of wastewater co-produced during oil and gas extraction as the driving force behind some earthquake clusters, with a small number of events directly linked to hydraulic fracturing (HF) stimulations. The present investigation is the first one to examine the role both of these activities played throughout the two states, under the same framework. Our findings confirm that wastewater disposal is the main causal factor, while also identifying several previously undocumented clusters of seismicity that were triggered by HF. We were able to identify areas where both causal factors spatially coincide, even though they act at distinct depth intervals. Overall, oil and gas operations are probabilistically linked at high confidence levels with more than 7000 felt earthquakes (M ≥ 2.5), including 46 events with M ≥ 4.0 and 4 events with M ≥ 5. Our analysis utilized newly compiled regional earthquake catalogs and established physics-based principles. It first hindcasts the seismicity rates after 2012 on a spatial grid using either real or randomized HF and wastewater data as the input, and then compares them against the null hypothesis of purely tectonic loading. In the end, each block is assigned a p-value, reflecting the statistical confidence in its causal association with either HF stimulations or wastewater disposal. Full article
(This article belongs to the Special Issue Seismological Research and Seismic Hazard & Risk Assessments)
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