Article
Geochemistry & Geophysics
Fabrizio Magrini, Lapo Boschi
Summary: This study evaluates the determination of surface-wave attenuation from ambient-noise data through numerical tests. The directionality of noise sources and the attenuation coefficient in the area of interest were identified from both experimental setups and real recordings. The method shows promise in accurately quantifying surface-wave attenuation at relatively high frequencies.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Review
Geosciences, Multidisciplinary
Mathieu Le Breton, Noelie Bontemps, Antoine Guillemot, Laurent Baillet, Eric Larose
Summary: Monitoring landslides is crucial for understanding their dynamics and reducing human casualties. The ambient noise correlation method has shown potential in detecting precursor signals before landslide failures, but challenges remain in detecting velocity changes rapidly and confidently, accounting for environmental influences, and ensuring measurement stability. Seasonal velocity fluctuations are influenced by groundwater levels and soil conditions, posing challenges for early-warning systems. Daily fluctuations and spurious velocity changes unrelated to material dynamics should also be considered for accurate landslide monitoring.
EARTH-SCIENCE REVIEWS
(2021)
Article
Geochemistry & Geophysics
Victor C. Tsai, Korbinian Sager
Summary: This study demonstrates the use of Bayesian inference approach in calculating the expected cross correlation of seismic signals, leading to a better understanding of its relationship with the Green's function. The Bayesian derivation replicates the equipartition result, and with stronger constraints, deviation from the expected Green's function is observed, allowing for more reliable comparison with observations.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
D. Pacheco, E. D. Mercerat, F. Courboulex, L. F. Bonilla, A. Laurendeau, A. Alvarado
Summary: The capital of Ecuador, Quito, with over 2.5 million inhabitants, faces a high seismic hazard due to its proximity to the Pacific subduction zone and active crustal faults. Through the study of Quito's seismic response and geological structure, differences in the basin structure between the central-northern and southern parts were found to explain the spatial distribution of low-frequency seismic amplifications observed during the Mw 7.8 Pedernales earthquake in April 2016.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Veronica Rodriguez Tribaldos, Jonathan B. Ajo-Franklin
Summary: This study demonstrates a new method for tracking seismic velocity changes caused by groundwater level fluctuations using ambient seismic noise acquired on an unused fiber-optic cable in the Sacramento Valley, California. Results show that short-scale spatial variability in aquifer dynamics can be captured through this approach.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Geochemistry & Geophysics
D. Pacheco, E. D. Mercerat, F. Courboulex, L. F. Bonilla, A. Laurendeau, A. Alvarado
Summary: Quito, the capital of Ecuador, is at high seismic risk due to its proximity to seismic zones. A study conducted in the city investigated the seismic response of an intermontane basin. Differences in the basin's structure between its northern and southern parts were found to explain the observed low-frequency seismic amplification during a previous earthquake.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Engineering, Geological
Fan Xie, Eric Larose, Qingyu Wang, Yuxiang Zhang
Summary: The study conducts in-situ one-year monitoring of dv/v on the Pubugou rock slope in Sichuan, China, confirming the feasibility of detecting precursory dv/v drop before slope destabilization, as well as characterizing dv/v changes caused by earthquakes and rainfall. The study also discusses measurement error and detectable depth resolution of dv/v, and suggests high-resolution technique as a complementary means for rock slope damage surveillance in the future.
ENGINEERING GEOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Yesim Cubuk-Sabuncu, Kristin Jonsdottir, Corentin Caudron, Thomas Lecocq, Michelle Maree Parks, Halldor Geirsson, Aurelien Mordret
Summary: Repeated periods of inflation-deflation were detected near Mt. thorn orbjorn-Svartsengi in SW-Iceland from January to July 2020. Seismic ambient noise and interferometry were used to characterize the temporal variations of seismic velocities. The largest velocity drop was observed at the seismic station closest to the inflation source center, and the dv/v variations correlated with deformation measurements over the unrest period, indicating sensitivity to crustal processes.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geochemistry & Geophysics
Aylin Karaaslan, Argun Kocaoglu, Serdar Ozalaybey
Summary: A new processing scheme combining PSI and MASW methods is presented to obtain Rayleigh wave phase velocity dispersion (PVD) information. Results indicate that the method is advantageous for extracting multimodal Rayleigh wave PVD information.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Mario Z. Ruiz, Francesco Civilini, Cynthia J. Ebinger, Sarah J. Oliva, Mario C. Ruiz, Gabriela Badi, Peter C. La Femina, Jose A. Casas
Summary: Analyzing the changes in physical properties before a volcanic eruption, we identified potential premonitory signals. In particular, we observed a 0.27% decrease in velocity 17 days before the eruption at stations located beneath the north-eastern sector of the volcano. This velocity change may be attributed to dilation caused by an earthquake and degassing of fluids in the rock.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Mathematics, Interdisciplinary Applications
Tak-Hoe Ku, Hyun-Gyu Kim
Summary: This paper presents a particle-based parallel scheme to reduce the computational cost of Material Point Method (MPM). The scheme distributes computational workloads evenly over computing cores by partitioning material particles. The performance of this particle-based parallel scheme is compared with a grid-based parallel scheme.
COMPUTATIONAL PARTICLE MECHANICS
(2023)
Article
Geochemistry & Geophysics
Jinwu Li, Xiaodong Song, Yi Yang, Mengkui Li, Jiangtao Li, Yane Li
Summary: The study used ambient noise interferometry between seismic stations to monitor seasonal changes of Earth's media in Sichuan region, with findings suggesting that the seasonality is likely caused by elastic loading due to regional precipitation, indicating the need to consider non-tectonic effects in studies of crustal changes.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Geosciences, Multidisciplinary
Youngseok Song, Jaewook Lee, Zeu Yeeh, Minki Kim, Joongmoo Byun
Summary: A reliable seismic property model is crucial for accurate estimation of physical properties and tectonic behavior in the near-surface. Traditional methods like recording ambient seismic noise (ASN) data and producing interferometric reflection images have limitations in interpreting upper mantle structures and inverting seismic models. To address these issues, machine learning techniques are applied to enhance vertical resolution and interpret geologically meaningful boundaries. ML-based results improve the inverted models, displaying more detailed geological structures and seismic property changes, surpassing the limitations of seismic data.
JOURNAL OF ASIAN EARTH SCIENCES
(2023)
Article
Geochemistry & Geophysics
Eileen R. Martin
Summary: The use of denser arrays for continuous seismic monitoring is increasing among geoscientists and engineers. They often employ ambient seismic noise interferometry for low-cost near-surface imaging. Although this method reduces acquisition costs, the computational cost may still be prohibitive. A new algorithm has been developed to make the process more scalable by rearranging operations involved in the double beamforming transform.
Article
Geochemistry & Geophysics
Zhi Guo, Xing Gao
Summary: In this study, the isotropic and azimuthal anisotropic crustal structure of the South China block is imaged using continuous seismic ambient noise recorded by dense permanent seismic stations. The results show the lateral changes in the isotropic crustal structure are consistent with surface geology, while the azimuthal anisotropy reveals more details about the tectonic evolution of the South China block.
Article
Geochemistry & Geophysics
Ian Keifer, Ken Dueker, Po Chen
EARTH AND PLANETARY SCIENCE LETTERS
(2019)
Article
Geosciences, Multidisciplinary
Bryan G. Moravec, Alissa M. White, Robert A. Root, Andres Sanchez, Yaniv Olshansky, Ben K. Paras, Bradley Carr, Jennifer McIntosh, Jon D. Pelletier, Craig Rasmussen, W. Steven Holbrook, Jon Chorover
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2020)
Article
Geochemistry & Geophysics
Xiaoyu Yuan, Jun Korenaga, W. Steven Holbrook, Peter B. Kelemen
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2020)
Article
Geography, Physical
Jordan D. Leone, W. Steven Holbrook, Clifford S. Riebe, Jon Chorover, Ty P. A. Ferre, Bradley J. Carr, Russell P. Callahan
EARTH SURFACE PROCESSES AND LANDFORMS
(2020)
Article
Geosciences, Multidisciplinary
Russell P. Callahan, Clifford S. Riebe, Sylvain Pasquet, Ken L. Ferrier, Dario Grana, Leonard S. Sklar, Nicholas J. Taylor, Brady A. Flinchum, Jorden L. Hayes, Bradley J. Carr, Peter C. Hartsough, Anthony T. O'Geen, W. Steven Holbrook
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Geochemistry & Geophysics
Nathaniel C. Miller, Daniel Lizarralde, John A. Collins, W. Steven Holbrook, Harm J. A. Van Avendonk
Summary: Seismic anisotropy measurements indicate that upper mantle hydration is limited to serpentinization and/or fault zones, not distributed uniformly, impacting important processes at the Middle America Trench; outer rise plate-bending faults may provide a pathway for seawater to rehydrate the slab mantle; hydration confined to fault zones reduces water storage estimates for the MAT upper mantle.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Geosciences, Multidisciplinary
B. J. Eppinger, J. L. Hayes, B. J. Carr, S. Moon, C. L. Cosans, W. S. Holbrook, C. J. Harman, Z. T. Plante
Summary: Weathering processes can weaken and break apart rock, releasing nutrients and increasing the permeability of subsurface materials. By quantifying seismic anisotropy in weathered materials at different depths, researchers can better understand the effects of weathering on rock fabric and its implications for hydrology, geomorphology, and landscape evolution. The findings suggest a correlation between in situ weathering and anisotropy, indicating that weathering may amplify the intrinsic anisotropy of bedrock.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Geosciences, Multidisciplinary
Russell P. Callahan, Clifford S. Riebe, Leonard S. Sklar, Sylvain Pasquet, Ken L. Ferrier, W. Jesse Hahms, Nicholas J. Taylor, Dario Grana, Brady A. Flinchum, Jorden L. Hayes, W. Steven Holbrook
Summary: The spatial variability in forest drought response during the severe drought in California between 2011 and 2017 can be explained by differences in bedrock composition. Forests rooted in weathered, nutrient-rich bedrock are more vulnerable to drought, while forests on relatively unweathered, nutrient-poor bedrock are less affected.
Article
Water Resources
Brady A. Flinchum, W. Steven Holbrook, Bradley J. Carr
Summary: Fractures in Earth's critical zone affect groundwater flow, storage, and chemical weathering. Seismic velocities in the fractured bedrock layer of the critical zone are scale-dependent, with smaller-scale velocities showing significant heterogeneity in fracture density and larger-scale velocities being slower and lacking lateral heterogeneity. The discrepancy is a result of the contrasting measurement scales between the two methods, providing information on the fractured medium at vastly different scales.
FRONTIERS IN WATER
(2022)
Article
Water Resources
Travis Nielson, John Bradford, W. Steven Holbrook, Mark Seyfried
Summary: In snow-dominated mountainous watersheds in the northern hemisphere, north-facing slopes tend to be more deeply weathered than south-facing slopes due to the more persistent snowpack. A study conducted in Johnston Draw revealed that differences in snow accumulation can lead to variations in weathering depth, with the largest difference occurring where snow accumulation is greatest.
FRONTIERS IN WATER
(2021)
Article
Geochemistry & Geophysics
Wei Wang, Po Chen, Ken Dueker, En-Jui Lee, Dawei Mu, Ian Keifer
EARTH AND PLANETARY SCIENCE LETTERS
(2020)
Article
Geochemistry & Geophysics
Zhu Zhang, Kenneth G. Dueker
PURE AND APPLIED GEOPHYSICS
(2020)
Article
Environmental Sciences
Brady A. Flinchum, W. Steven Holbrook, Andrew D. Parsekian, Bradley J. Carr
VADOSE ZONE JOURNAL
(2019)
Article
Ecology
Anna G. Radke, Sarah E. Godsey, Kathleen A. Lohse, Emma P. McCorkle, Julia Perdrial, Mark S. Seyfried, W. Steven Holbrook
FRONTIERS IN ECOLOGY AND EVOLUTION
(2019)
Article
Computer Science, Interdisciplinary Applications
Yapo Abole Serge Innocent Oboue, Yunfeng Chen, Sergey Fomel, Wei Zhong, Yangkang Chen
Summary: Strong noise can disrupt the recorded seismic waves and negatively impact subsequent seismological processes. To improve the signal-to-noise ratio (S/N) of seismological data, we introduce MATamf, an open-source MATLAB code package based on an advanced median filter (AMF) that simultaneously attenuates various types of noise and improves S/N. Experimental results demonstrate the usefulness and advantages of the proposed AMF workflow in enhancing the S/N of a wide range of seismological applications.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Upkar Singh, P. N. Vinayachandran, Vijay Natarajan
Summary: The Bay of Bengal maintains its salinity distribution due to the cyclic flow of high salinity water and the mixing with freshwater. This paper introduces an advection-based feature definition and algorithms to track the movement of high salinity water, validated through comparison with observed data.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Bijal Chudasama, Nikolas Ovaskainen, Jonne Tamminen, Nicklas Nordback, Jon Engstro, Ismo Aaltonen
Summary: This contribution presents a novel U-Net convolutional neural network (CNN)-based workflow for automated mapping of bedrock fracture traces from aerial photographs acquired by unmanned aerial vehicles (UAV). The workflow includes training a U-Net CNN using a small subset of photographs with manually traced fractures, semantic segmentation of input images, pixel-wise identification of fracture traces, ridge detection algorithm and vectorization. The results show the effectiveness and accuracy of the workflow in automated mapping of bedrock fracture traces.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Ruizhen Wang, Siyang Wan, Weitao Chen, Xuwen Qin, Guo Zhang, Lizhe Wang
Summary: This paper proposes a novel framework to generate a finer soil strength map based on RCI, which uses ensemble learning models to obtain USCS soil classification and predict soil moisture, in order to improve the resolution and reliability of existing soil strength maps.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhanlong Chen, Xiaochuan Ma, Houpu Li, Xuwei Xu, Xiaoyi Han
Summary: Simulated terrains are important for landform and terrain research, disaster prediction, rescue and disaster relief, and national security. This study proposes a deep learning method, IGPN, that integrates global information and pattern features of the local terrain to generate accurate simulated terrains quickly.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Daniele Secci, Vanessa A. Godoy, J. Jaime Gomez-Hernandez
Summary: Neural networks excel in various machine learning applications, but lack physical interpretability and constraints, limiting their accuracy and reliability in predicting complex physical systems' behavior. Physics-Informed Neural Networks (PINNs) integrate neural networks with physical laws, providing an effective tool for solving physical problems. This article explores recent developments in PINNs, emphasizing their application in solving unconfined groundwater flow, and discusses challenges and opportunities in this field.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Renguang Zuo, Ying Xu
Summary: This study proposes a hybrid deep learning model consisting of a one-dimensional convolutional neural network (1DCNN) and a graph convolutional network (GCN) to extract joint spectrum-spatial features from geochemical survey data for mineral exploration. The physically constrained hybrid model performs better in geochemical anomaly recognition compared to other models.
COMPUTERS & GEOSCIENCES
(2024)
