Machine learning for data-driven discovery in solid Earth geoscience

KJ Bergen, PA Johnson, MV de Hoop, GC Beroza - Science, 2019 - science.org
BACKGROUND The solid Earth, oceans, and atmosphere together form a complex
interacting geosystem. Processes relevant to understanding Earth's geosystem behavior …

Seismic hazard and risk assessment: a review of state-of-the-art traditional and GIS models

R Jena, B Pradhan, G Beydoun, A Al-Amri… - Arabian Journal of …, 2020 - Springer
The historical records of earthquakes play a vital role in seismic hazard and risk
assessment. During the last decade, geophysical, geotechnical, geochemical …

A theory-guided deep-learning formulation and optimization of seismic waveform inversion

J Sun, Z Niu, KA Innanen, J Li, DO Trad - Geophysics, 2020 - library.seg.org
Deep-learning techniques appear to be poised to play very important roles in our processing
flows for inversion and interpretation of seismic data. The most successful seismic …

An investigation of rapid earthquake characterization using single‐station waveforms and a convolutional neural network

A Lomax, A Michelini… - Seismological …, 2019 - pubs.geoscienceworld.org
Effective early warning, emergency response, and information dissemination for
earthquakes and tsunamis require rapid characterization of an earthquake's location, size …

Automatic classification of endogenous landslide seismicity using the Random Forest supervised classifier

F Provost, C Hibert, JP Malet - Geophysical Research Letters, 2017 - Wiley Online Library
The deformation of slow‐moving landslides developed in clays induces endogenous
seismicity of mostly low‐magnitude events (ML< 1). Long seismic records and complete …

Microseismic event classification with time-, frequency-, and wavelet-domain convolutional neural networks

J Jiang, V Stankovic, L Stankovic… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Passive seismics help us understand subsurface processes, for example, landslides,
mining, geothermal systems, and so on and help predict and mitigate their effects …

Intelligent real-time earthquake detection by recurrent neural networks

TL Chin, KY Chen, DY Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Taiwan that is located at the junction of the Eurasian Plate and the Philippine Sea Plate is
one of the most active seismic zones in the world. Devastating earthquakes have occurred …

Characteristics of ground motion generated by wind interaction with trees, structures, and other surface obstacles

CW Johnson, H Meng, F Vernon… - Journal of Geophysical …, 2019 - Wiley Online Library
Abstract Analysis of continuous seismic waveforms from a temporary deployment at Sage
Brush Flats on the San Jacinto fault reveals earthquake‐and tremor‐like signals generated …

Automatic Classification of Microseismic Signals Based on MFCC and GMM‐HMM in Underground Mines

P Peng, Z He, L Wang - Shock and Vibration, 2019 - Wiley Online Library
In order to mitigate economic and safety risks during mine life, a microseismic monitoring
system is installed in a number of underground mines. The basic step for successfully …

Semantically enhanced IoT-oriented seismic event detection: An application to Colima and Vesuvius volcanoes

M Falanga, E De Lauro, S Petrosino… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Collecting massive seismic signals is a high-priority task in seismic risk evaluation,
especially in densely populated areas, with cases of strong magnitude earthquake …