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Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean

The Rio Grande Rise (RGR) is a large elevation in the Atlantic Ocean and known to host potential mineral resources of ferromanganese crusts (Fe–Mn), but no investigation into their general characteristics have been made in detail. Here, we investigate the chemical and mineralogical composition, growth rates and ages of initiation, and phosphatization of relatively shallow-water (650–825...
Authors
Mariana Benites, James R. Hein, Kira Mizell, Terrence Blackburn, Luigi Jovane

Practical limitations of Earthquake Early Warning Practical limitations of Earthquake Early Warning

Earthquake Early Earning (EEW) entails detection of initial earthquake shaking and rapid estimation and notification to users prior to imminent, stronger shaking. EEW is coming to the U.S. West Coast. But what are the technical and social challenges to delivering actionable information on earthquake shaking before it arrives? Although there will be tangible benefits, there are also...
Authors
David J. Wald

USGS “Did You Feel It?” — Science and lessons from twenty years of citizen science-based macroseismology USGS “Did You Feel It?” — Science and lessons from twenty years of citizen science-based macroseismology

The U.S. Geological Survey (USGS) “Did You Feel It?” (DYFI) system is an automatic method for rapidly collecting macroseismic intensity data from Internet users’ shaking and damage reports and for generating intensity maps immediately following felt earthquakes. DYFI has been in operation for nearly two decades (1999-2019) in the United States, and for nearly 15 years globally. During...
Authors
Vince Quitoriano, David J. Wald

How processing methodologies can distort and bias power spectral density estimates of seismic background noise How processing methodologies can distort and bias power spectral density estimates of seismic background noise

Power spectral density (PSD) estimates are widely used in seismological studies to characterize background noise conditions, assess instrument performance, and study quasi‐stationary signals that are difficult to observe in the time domain. However, these studies often utilize different processing techniques, each of which can inherently bias the resulting PSD estimates. The level of...
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson, Manochehr Bahavar, Keith D. Koper

Earthquake early warning ShakeAlert 2.0: Public rollout Earthquake early warning ShakeAlert 2.0: Public rollout

The ShakeAlert Earthquake Early Warning System is designed to automatically identify and characterize the initiation and rupture evolution of large earthquakes, estimate the intensity of ground shaking that will result, and deliver alerts to people and systems that may experience shaking, prior to the occurrence of shaking at their location. It is configured to issue alerts to locations...
Authors
Monica Kohler, Deborah E. Smith, Jennifer Andrews, Angela I. Chung, Renate Hartog, Ivan Henson, Douglas D. Given, Robert Michael deGroot, Stephen Robert Guiwits

Seismic and geodetic progression of the 2018 summit caldera collapse of Kīlauea Volcano Seismic and geodetic progression of the 2018 summit caldera collapse of Kīlauea Volcano

The 2018 eruption of Kīlauea volcano, Hawaiʻi, resulted in a major collapse of the summit caldera along with an effusive eruption in the lower East Rift Zone. The caldera collapse comprised 62 highly similar collapse cycles of strong ground deformation and earthquake swarms that ended with a magnitude 5 collapse event and one partial cycle that did not end with a collapse event. We...
Authors
Gabrielle Tepp, Alicia J. Hotovec-Ellis, Brian Shiro, Ingrid A. Johanson, Weston Thelen, Matthew M. Haney

Ground-motion predictions for California — Comparisons of three prediction equations Ground-motion predictions for California — Comparisons of three prediction equations

We systematically evaluate datasets, functional forms, independent parameters of estimation, and resulting ground-motion predictions (as median and aleatory variability) of the Graizer and Kalkan (2015, 2016) (GK15) ground-motion prediction equation (GMPE) with the next generation of attenuation project (NGA-West2) models of Abrahamson and others (2014) (ASK14) and Boore and others (2014...
Authors
Erol Kalkan, Vladimir Graizer

Probabilistic regional-scale liquefaction triggering modeling using 3D Gaussian processes Probabilistic regional-scale liquefaction triggering modeling using 3D Gaussian processes

Liquefaction is a major cause of coseismic damages, occurring irregularly over hundreds or thousands of square kilometers in large earthquakes. Large variations in the extent and location of liquefaction have been observed in recent earthquakes, motivating the need for prediction methods that consider the spatial heterogeneity of geologic deposits at a regional scale. Contemporary...
Authors
Michael Greenfield, Alex R. Grant

Runoff-initiated post-fire debris flow Western Cascades, Oregon Runoff-initiated post-fire debris flow Western Cascades, Oregon

Wildfires dramatically alter the hydraulics and root reinforcement of soil on forested hillslopes, which can promote the generation of debris flows. In the Pacific Northwest, post-fire shallow landsliding has been well documented and studied, but the potential role of runoff-initiated debris flows is not well understood and only one previous to 2018 had been documented in the region. On...
Authors
Sara Wall, J.J. Roering, Francis K. Rengers

Regionally Optimized Background Earthquake Rates from ETAS (ROBERE) for probabilistic seismic hazard assessment Regionally Optimized Background Earthquake Rates from ETAS (ROBERE) for probabilistic seismic hazard assessment

We use an epidemic‐type aftershock sequence (ETAS) based approach to develop a regionally optimized background earthquake rates from ETAS (ROBERE) method for probabilistic seismic hazard assessment. ROBERE fits parameters to the full seismicity catalog for a region with maximum‐likelihood estimation, including uncertainty. It then averages the earthquake rates over a suite of catalogs...
Authors
Andrea L. Llenos, Andrew J. Michael

Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges

Seismic hazard modelling is a multi-disciplinary science that aims to forecast earthquake occurrence and its resultant ground shaking. Such models consist of a probabilistic framework that quantifies uncertainty across a complex system; typically, this includes at least two model components developed from Earth science: seismic-source and ground-motion models. Although there is no...
Authors
M. C. Gerstenberger, W. Marzocchi, T. J. Allen, M. Pagani, Janice Adams, L. Danciu, Edward H. Field, H. Fujiwara, Nico Luco, K-F Ma, C. Meletti, Mark D. Petersen

Molecular indicators of methane metabolisms at cold seeps along the United States Atlantic margin Molecular indicators of methane metabolisms at cold seeps along the United States Atlantic margin

A lipid biomarker study was undertaken to determine the microbial composition and variability in authigenic carbonates and associated soft bottom habitats from the Norfolk and the Baltimore Canyon seep fields along the US mid-Atlantic margin. Results from this study capture a distinct molecular signal from methane oxidizing archaea, including archaeol (I), sn-2-hydroxyarchaeol...
Authors
Nancy G. Prouty, Pamela L. Campbell, Hilary Close, Jennifer F. Biddle, Sabrina Beckmann
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