How does spatial sampling of seismometres affect source characterization of earthquakes?5 answersSpatial sampling of seismometers significantly impacts earthquake source characterization. Utilizing spatial information in machine learning models for seismic source characterization enhances prediction accuracy, surpassing methods ignoring station locations. Symmetric Autoencoder (SymAE) extracts earthquake information from seismic waves, representing displacement fields into interpretable source and path-scattering components, aiding in accurate kinematic rupture parameter inference. The spatial variability of ground motion in near-fault conditions is crucial, influenced by seismic source characteristics and site conditions, necessitating large 3D numerical simulations for reliable predictions. Proper characterization of noise in waveform measurements is essential for Bayesian inference in source inversion, where waveform cross-correlation coefficients play a robust role in misfit criteria.
Is the coupling low in the Kermadec subduction zone because of asperities?4 answersThe coupling in the Kermadec subduction zone is low, and this is attributed to the lack of asperities. Asperities are strong, well-coupled portions of plate interfaces, and the presence of asperities correlates with areas of high coupling. However, the Kermadec subduction zone is characterized by few great thrust earthquakes and little to no forerunning activity, indicating a lack of asperities. The absence of significant seismic activity suggests that the subduction zone is poorly coupled. Therefore, the low coupling in the Kermadec subduction zone is not due to the presence of asperities, but rather the absence of them.
What is the seismogenic depth of the spreading between the Niuafo'ou and Australian plates?5 answersThe seismogenic depth of the spreading between the Niuafo'ou and Australian plates is not mentioned in the abstracts provided.
What are the most effective earthquake indicators?5 answersThe most effective earthquake indicators include an earthquake-triggered emergency indicator that detects vibrations and generates indication signals to guide users in taking emergency measures. Additionally, an indicator light arranged for actuation upon vibration imparted to the light housing can be used as an effective earthquake indicator. These indicators help in providing timely warnings and guiding individuals during earthquake events.
How to make synthetic seismograms in this paper?4 answersSynthetic seismograms can be generated using different methods described in the papers. One method involves utilizing two-point ray tracing to calculate travel time, ray distance, and source vector of direct waves, critical refracted waves, and reflected waves. Synthetic waveforms are then generated by placing user-defined wavelets at the arrival time of each phase and correcting the amplitude for various factors such as geometric spreading, anelastic attenuation, reflection and transmission losses, and source radiation pattern. Another method involves using a new recursive formulation in the frequency domain to compute synthetic vertical seismic profiles (VSP) seismograms. This method utilizes the concept of "renultanz" phase related reflection and transmission coefficients for a layer stack and can handle high-frequency signals effectively. Additionally, Green's functions can be used to compute synthetic low-frequency seismograms that are consistent with observed coseismic displacement fields. This involves superimposing low-pass filtered synthetic low-frequency seismograms with high-frequency strong-motion data.
How can we use seismic data to improve the characterization of volcanic plumes?5 answersLos datos sísmicos pueden ser utilizados para mejorar la caracterización de las plumas volcánicas al proporcionar información sobre el estado interno del volcán y las propiedades del camino recorrido por las ondas sísmicas. Al analizar las señales sísmicas registradas por una estación, los investigadores pueden obtener información sobre la fuente sísmica y la estructura volcánica de baja velocidad cercana a la superficie, que puede dar forma a los sismogramas registrados. Esta comprensión de los efectos del camino es crucial para las inversiones de fuentes y las investigaciones geofísicas de las propiedades de los volcanes a profundidad. La metodología sísmica adjoint y el análisis de kernel de sensibilidad se pueden aplicar para calcular sismogramas sintéticos y examinar la relación entre diferentes porciones de un sismograma y diferentes partes del modelo estructural volcánico. Estos estudios han demostrado que las heterogeneidades de edificios juegan un papel importante en la conformación de las trazas sísmicas volcánicas y deben ser consideradas al investigar las fuentes sísmicas volcánicas.