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Are these two earthquakes identical or not? Bonatis et al. examine the subtle differences within the recent aftershock sequences of two moderate (Mw5.3 and Mw5.4) earthquakes that occurred in the same area of the North Aegean Trough. Read now:  https://lnkd.in/dxhY_ef9 On September 26, 2020, and January 16, 2022, the North Aegean Sea area, just south of Chalkidiki peninsula, experienced two notable (Mw5.3 and Mw5.4) earthquakes. Given their proximity to each other in both time and space, and considering such moderate-sized earthquakes are rare in this area, it's essential to delve into their characteristics to grasp the underlying geological processes better. Bonatis et al. used data from nearby seismic stations to refine their earthquake catalog and conducted a detailed analysis of both aftershock sequences. Their findings suggest these earthquakes do not stem from the primary geological structure known as the North Aegean Trough, but from lesser-known faults nearby, which are often associated with such complex tectonic environments. #Seismology #EarthquakeScience #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience #greece

A new study by Gossett et al. reveals significant correlations of earthquake magnitudes at interevent time and distance separations larger than previously thought. Read more:  https://lnkd.in/dzV6AXY9 Gossett et al. tackle one of the most important questions in seismology: does the magnitude of an earthquake event depend on the events that preceded it? This field and laboratory study examines how statistical correlations between magnitudes evolve with time and distance between seismic events. The findings suggest that magnitudes are correlated over a larger time and distance between seismic events than previously thought, indicating that magnitude correlations are not driven solely by the rupture of an identical fault patch. They also document different temporal and spatial decay patterns of the magnitude clustering signature. #Seismology #EarthquakeScience #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience

🌉New issue of #SRL🌉 The November issue of Seismological Research Letters is here! This issue includes a Focus Section on statistical seismology and probabilistic earthquake forecasting, devoted to the memory three statistical seismologists who passed away in the last few years: Yan Kagan, Dave Jackson and Ilya Zaliapin. The cover image for this issue shows the Sanxiantai bridge in the Taitung region of Taiwan, which links mainland Taiwan to the Island of the Three Immortals. An article by Hsieh et al. in this issue’s Focus Section on Statistical Seismology and Probabilistic Earthquake Forecasting discusses ground shaking forecasting in the region of the 2022 Taitung earthquake sequences. Perhaps this paper or one of the many others in this focus section will help you accurately forecast the shape and number of the unseen arches in the bridge. Or perhaps not, but the Editor-in-Chief encourages you to read on and discover for yourselves. Image credit: iStock.com/xavierarnau Full issue: https://lnkd.in/gHwPh_Dd

U.S. Geological Survey (USGS) USGS, Florence Bascom Geoscience Center USGS National Innovation Center N Salomy Anshu Sharma Jyoti Shukla Roger Hunter Kapil Gupta Kapil Gupta Ravi Sinha A new study suggest a link between heavy snowfall and Earthquake. Now ,my question to seismologist is... ..How this can be explained by plate tectonics? My explanation is... The hightide pull gethers the clouds containing high moisture at one location ,hightide zone. This concentration can eventually be a cloud burst, in hot regions or a heavy snowfall in cold region

Here is our paper in the "The 9th International Conference on Seismology and Earthquake Engineering." In this paper, We demonstrate common patterns between two earthquake record components. The string-matching algorithm is used as the pattern recognition tool. The results indicate that the two components of an earthquake share hidden patterns which should be considered in generating artificial seismic records. #seismology #earthquake #structural_engineering #pattern_rcognition

What are reliable earthquake magnitudes?   Dahm et al.'s method uses synthetic seismogram peak-values to calculate moment magnitudes of microearthquakes—essential for studying shallow, human-induced seismicity: https://lnkd.in/etShMK6R Moment magnitudes, an accurate measure of earthquake size, are estimated from low-frequency source spectra or by inversion of full seismograms, both of which can be challenging for small or noisy events. Traditional local magnitude scales, introduced more than 100 years ago, are calculated from high-frequency peak amplitudes and are easier to obtain for small events. However, local magnitude scales are limited by fault complexity, wave behavior, or recording equipment. Dahm et al.'s new method combines real earthquake data with peak amplitudes from synthetic seismograms, allowing them to calculate moment magnitudes even for small events and few observations. This approach takes into account factors such as velocity models and provides reliable uncertainty estimates. It is particularly useful for studying human-induced seismicity at shallow depths and in areas of low natural activity, where empirical scaling between moment and local magnitude scales is not possible. #Seismology #EarthquakeScience #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience

Check out this insightful piece shedding light on the evolving landscape of seismology and the role of geometry in forecasting earthquakes. #Seismology #Science #Earthquakes https://lnkd.in/ekTJQWEW

Explore this notable article by EQS: Joint Inversion of Rayleigh Group and Phase Velocities for S-wave Velocity Structure of the 2021 MS6.0 Luxian Earthquake Source Area, China 🔷 Authors: Wei Xu, Pingping Wu, Dahu Li, Huili Guo, Qiyan Yang, Laiyu Lu, Zhifeng Ding 🔷 Keywords: Luxian earthquake, ambient noise tomography, S-wave velocity model, seismicity, seismogenic mechanism, joint inversion 🔷 Key points: • A fine three-dimensional (3-D) S-wave velocity model around the 2021 MS6.0 Luxian earthquake epicenter was constructed in this study, using the joint inversion of the Rayleigh phase and group velocity dispersions. • The 3-D S-wave velocity images show that the velocity varies significantly beneath the Yujiasi syncline as well as in the eastern and western branches of the Huayingshan fault belt, which is consistent with the geological structure. • The Luxian earthquake epicenter is located at the boundary between the high- and low-velocity S-wave zones, and injection fluids may affect low-velocity features. The seismogenic mechanism may therefore be related to the reactivation of pre-existing faults caused by hydraulic fracturing. Click here for the article: https://lnkd.in/gHiywdBP Click here to submit a paper: https://lnkd.in/e4DydcAM We hope this information will be helpful for your research. #EQS #Earthquake #Science #LuxianEarthquake #Seismicity #SeismogenicMechanism

Comparing earthquake locations and magnitudes from different algorithms is not straightforward, especially for earthquake early warning. Jozinović et al. provide a minimum latency solution based on observed emerging waveform envelopes. Read more: https://lnkd.in/e5S43Twg Seismic networks often use multiple independent algorithms to characterize earthquakes for early warning and standard network practice. Jozinović et al. propose a goodness-of-fit measure that allows selecting the best solution (origin and magnitude pair) by comparing the observed and predicted velocity emerging waveform envelopes at a set of stations. Their method can be applied in real-time settings with minimum latency. They run tests that demonstrate that this method is very effective in selecting the optimal solution. Furthermore, they show that it also allows for the suppression of false alarms through the use of a goodness-of-fit threshold. #Seismology #EarthquakeScience #peerreviewed #DiamondOpenAccess #Earthquake #EEW #earlywarning #OpenAccess #OpenScience

Creating an earthquake early warning system for Alaska is a big challenge. But it’s a challenge that geophysics research student Alexander Fozkos and colleagues at the Alaska Earthquake Center at the University of Alaska Fairbanks Geophysical Institute have accepted. Fozkos gave an update in a talk this morning at the Seismological Society of America annual meeting in Anchorage. Today is the last day of the weeklong meeting. The goal of the work by Fozkos and colleagues is to begin envisioning how, and how well, early warning might function in Alaska. To be clear: This is not an effort to predict an earthquake. Rather, it is an effort to provide some warning before a quake’s seismic waves reach a populated area. Fozkos detailed some of the work, including results of various scenarios. Conservative results suggest the potential for timely warning for shallow earthquakes for ground motions up to intensity VI, which is described as strong shaking that can move heavy furniture. The presentation was part of a session titled End-to-End Advancements in Earthquake Early Warning Systems.” #AECscience #ak_ssa #SSA2024