Results 101 to 110 of about 1,908 (201)
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 We investigate shear‐wave splitting of SKS and SKKS phases from teleseismic earthquakes to study the anisotropic structure of the lithosphere and upper mantle beneath the Colombian Andes. This area is shaped by complex interactions between the subducting Nazca and Caribbean plates beneath the South American plate. A recent broadband deployment
Christopher J. W. Carchedi +4 more
wiley +1 more source
Over the last three decades a vast number of tomographic images has been produced, but the quantitative assessment of their accuracy and uniqueness has only just started.
Sub AW Externen +3 more
core
Abstract The physical mechanisms that govern the multi‐scale source properties of earthquakes, such as fracture energy scaling, where the dynamic energy dissipation of earthquakes scales with fault slip, remain debatable. We introduced the rate‐ and roughness‐dependent friction (RRF) law which accounts for the multi‐scale roughness evolution of the ...
Reiju Norisugi, Hiroyuki Noda
wiley +1 more source
Predictive Models for Postfire Debris Flow Initiation in the Southwest USA
Abstract Postfire debris flows pose a threat to life and infrastructure and significantly contribute to sediment supply in upland channels, thereby impacting water quality, stream habitats, and landscape evolution. Models designed to assess postfire debris‐flow likelihood at the watershed scale in response to design or forecast rainstorms are ...
Ana Isabel Fernandez Sirgo +3 more
wiley +1 more source
Abstract Earthflows are landslides in fine‐grained materials that alternate long dormant phases of very slow movement with short paroxysmal stages of rapid motion. These rapid phases are highly destructive, often causing severe damage to buildings and infrastructure.
M. Berti +11 more
wiley +1 more source
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen +3 more
wiley +1 more source
In this paper, a size-independent modification of the general detrended fluctuation analysis (DFA) method is introduced. With this modified DFA, seismic time series (m≥4.5) pertaining to most seismically active regions of the world from the year 1972 up ...
Ke Ma, Long Guo, Wangheng Liu
doaj +1 more source
Abstract Debris flows over riverbeds generate intense basal force fluctuations that radiate seismic signals, offering a key tool for remotely monitoring their dynamics. In steep, highly erosive mountainous channels, bedrock is often covered by a thin layer of loose sediments, which significantly reduce seismic energy.
Bo Pang +4 more
wiley +1 more source
Unsupervised Deep Representation Learning for Infrasound Phase Identification
Abstract Infrasound phase identification is challenging because atmospheric variability strongly influences signal propagation on short timescales that are not resolved by standard atmospheric models. While traditional approaches rely on propagation modeling and array‐derived parameters, recent work suggests that waveform structure itself encodes ...
Miro Ronac Giannone +2 more
wiley +1 more source

