Results 101 to 110 of about 20,136 (219)
Adsorption Preceding Wetting Front Controls Seismic Velocity
Abstract Rock elasticity varies with both humidity and water saturation, yet their combined effects remain poorly understood, although in nature vapor adsorption and liquid infiltration occur simultaneously. Here, we present experimental data of P‐wave velocity and volume expansion in a free‐standing sandstone subject to progressive wetting.
Rui Wu +11 more
wiley +1 more source
Abstract Understanding the cause of spatial variations in seismicity is crucial for comprehending the physics governing earthquake activity. Off Iwate, in the northern Japan Trench subduction zone, the plate boundary can be divided into three distinct zones based on depth‐dependent slip regimes: the slow earthquake, asperity, and stable creeping zones.
Yuta Ito +4 more
wiley +1 more source
The Detection of Transient Subduction Zone Interface Properties Using Teleseismic Data
Abstract The physical properties of subduction zone interfaces govern the transition between stable aseismic slip, episodic slow slip events (SSEs), and large earthquakes. Ultraslow velocity layers (USVLs) along the megathrust are commonly interpreted as indicators of elevated pore‐fluid pressures that promote slow slip, but their temporal variability ...
F. Rappisi, T. J. Craig, S. Rost
wiley +1 more source
Correcting exponentiality test for binned earthquake magnitudes
Above the magnitude of completeness - the minimum threshold for which a 100% detection rate is assumed - earthquake magnitudes are typically modeled as a continuous exponential distribution.
Angela Stallone, Ilaria Spassiani
doaj +1 more source
Abstract Large earthquakes can activate complex aftershock fault networks. In such systems, what controls the spatiotemporal evolution of early aftershocks remains a critical yet unresolved problem. Here, using the 2019 M 7.1 Ridgecrest earthquake as an example, we partition the first 10 days of aftershocks onto 15 branching faults activated by the ...
Yanlan Hu, Xin Cui, Zefeng Li
wiley +1 more source
SeismoStats: A Python Package for Statistical Seismology
We introduce SeismoStats, a Python package that enables essential statistical seismology analyses, with a focus on well-established methods. The package provides user-friendly tools to download and manipulate earthquake catalogs, but also plotting functionalities to visualize them, as well as means to perform analyses such as estimating the a- and b ...
Mirwald, Aron +6 more
openaire +2 more sources
Spatiotemporal Variations in the Interplate Slip Rate Around Kodiak Island, Alaska
Abstract Monitoring spatiotemporal variations in the interplate slip rate during the interseismic period, such as transient strain release by slow slip events (SSEs), is crucial for characterizing the physical properties of faults. We analyze 10 years of Global Navigation Satellite System (GNSS) data in the region of Kodiak Island, Alaska.
Yutaro Okada +2 more
wiley +1 more source
Crustal Heat Flow Drives the Earthquake Magnitude Distribution
Abstract Earthquake magnitude‐frequency distributions exhibit significant space‐time variations, which can provide critical insights into the physical processes driving seismicity. Understanding these variations is crucial for assessing seismic hazards and uncovering the physical processes driving earthquakes.
P. Corrado +5 more
wiley +1 more source
Is the Deep Martian Mantle Heterogeneous? A Reappraisal of Seismological Evidences
Abstract It has been proposed that the deep Martian mantle contains distributed heterogeneities preserved since the accretion of the planet. This result relies on a multiple‐scattering interpretation of frequency‐dependent arrival times of P $P$‐waves detected in the spectrograms of teleseismic Martian events.
L. Margerin
wiley +1 more source
Revealing the Mechanisms of Heat Extremes Using an AI Enabled Diagnostic Framework
Abstract Heat extremes have become a major health hazard around the world. Understanding their mechanisms remains a major challenge because the physical drivers interact in a nonlinear way. Here we introduce a globally perturbed reforecast framework driven by the Neural general circulation model (NeuralGCM).
Longzhen Xiang +9 more
wiley +1 more source

