Passive Seismic Imaging of Urban Environments Using Distributed Acoustic Sensing: A Case Study from Melbourne, Australia DOI Creative Commons
Voon Hui Lai, Meghan S. Miller, Chengxin Jiang

и другие.

The Seismic Record, Год журнала: 2024, Номер 4(4), С. 308 - 317

Опубликована: Окт. 1, 2024

Abstract Distributed acoustic sensing (DAS) offers a cost effective, nonintrusive method for high-resolution near-surface characterization in urban environments where conventional geophysical surveys are limited or nonexistent. However, passive imaging with DAS settings presents challenges such as strong diurnal traffic noise, nonlinear array geometry, and poor fiber coupling to the ground. We repurposed dark Melbourne, Australia, into 25 km that traces busy arterial roads, tram routes, orthogonal sections. By employing noise cross correlation beamforming, we calculated dispersion curves successfully inverted shear-wave velocity model down 100 meters. Stationary seismic sources maximized by selecting daytime signals, thereby recovering surface waves reducing interference from man-made structures subsurface. Poorly coupled channels, which linked maintenance pits, identified through cross-correlation amplitudes. The curve calculation further considers channel orientation avoid mixing Rayleigh Love waves. Using trans-dimensional Markov chain Monte Carlo sampling approach, achieved effective inversion without prior reference model. resulting profile aligns mapped lithology reveals previously undocumented lithological variation.

Язык: Английский

Fiber-optic seismic sensing of vadose zone soil moisture dynamics DOI Creative Commons
Zhichao Shen, Yan Yang, Xiaojing Fu

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Авг. 5, 2024

Abstract Vadose zone soil moisture is often considered a pivotal intermediary water reservoir between surface and groundwater in semi-arid regions. Understanding its dynamics response to changes meteorologic forcing patterns essential enhance the climate resiliency of our ecological agricultural system. However, inability observe high-resolution vadose over large spatiotemporal scales hinders quantitative characterization. Here, utilizing pre-existing fiber-optic cables as seismic sensors, we demonstrate sensing principle robustly capture dynamics. Our observations Ridgecrest, California reveal sub-seasonal precipitation replenishments prolonged drought zone, consistent with zero-dimensional hydrological model. results suggest significant loss 0.25 m/year through evapotranspiration at field side, validated by nearby eddy-covariance based measurements. Yet, detailed discrepancies modeling highlight necessity for complementary in-situ validations. Given escalated regional risk under change, findings underscore promise facilitate resource management

Язык: Английский

Процитировано

7
Pronounced temporal velocity variations within the fault fracture zone in response to Earth tide modes DOI Creative Commons
Tianran Sun, Huajian Yao, Hongfeng Yang

и другие.

National Science Review, Год журнала: 2025, Номер 12(4)

Опубликована: Янв. 21, 2025

ABSTRACT Continuous monitoring of seismogenic faults can advance our understanding the evolution process, holding important keys for forecasting future earthquakes. We report here seismic velocity variations around Anninghe fault zone in southwest China based on interferometry techniques. observed that tidal forces significantly impact changes within fracture zone, inducing periodic diurnal, semidiurnal and monthly scales. Moreover, response to Earth tides is notably more pronounced compared other areas. This be attributed affecting opening closing cracks subsurface medium. Due higher density fractures it becomes sensitive forces. Our findings underscore crucial role perturbing stress during periods when earthquakes have not occurred.

Язык: Английский

Процитировано

0
Unveiling Cryosphere Dynamics by Distributed Acoustic Sensing and Data‐Driven Hydro‐Thermo Coupled Simulation DOI Creative Commons

Haoyuan Sun,

Feng Cheng, Jianghai Xia

и другие.

Geophysical Research Letters, Год журнала: 2025, Номер 52(2)

Опубликована: Янв. 27, 2025

Abstract As global warming continues, the Earth's cryosphere is experiencing severe degradation. This study leverages a novel combination of distributed acoustic sensing (DAS) and artificial intelligence to monitor decipher cryospheric dynamics. We have developed an advanced time‐lapse surface wave analysis workflow capture shear velocity changes during 2‐month controlled permafrost thaw experiment in Fairbanks, Alaska. To understand underlying physical mechanisms , multimodal rock‐physics simulations were conducted associate observed hydrological thermal processes like heating rainfall events. Furthermore, we employ physics‐guided deep learning algorithm alongside interpretable techniques evaluate impact various factors shed light on hydro‐thermo coupling mechanisms. highlights potential using DAS data‐driven simulation for complex monitoring offers comprehensive view permafrost's thawing

Язык: Английский

Процитировано

0
Non-Destructive Estimation of Moisture Percentage in Fired Red Brick Using Digital Image Processing and Artificial Intelligence DOI Creative Commons

Andrés Pech-Pérez,

Aida Alejandra Ricárdez-Montiel,

Aida Andrea Pech-Ricárdez

и другие.

Construction Materials, Год журнала: 2025, Номер 5(1), С. 7 - 7

Опубликована: Фев. 1, 2025

In this study, we present a novel methodology for reducing uncertainties in detecting high-permeability regions bricks by integrating brick imagery, color theory, unsupervised learning, and petrophysical concepts. Leveraging smartphone technology, our identifies analyzes moisture red bricks, demonstrating its potential as cost-effective tool characterization. This approach complements specialized detection devices, highlighting the versatility of existing technology. Applied within context traditional manufacturing San Agustín Yatareni, Oaxaca, México, results show that effectively moisture-related anomalies, with water absorption values verified according to NMX-C-404-ONNCCE-2012 NMX-C-037-ONNCCE-2013 Mexican standards. We observed significant inverse correlation between luminosity content, direct hue content. These findings suggest reliable, non-invasive indicator levels, potentially improving longevity construction materials. The broader applicability material analysis, particularly incorporating organic fibers, underscores value quality control. Furthermore, integration technology interdisciplinary techniques contributes advancing sustainable practices durability.

Язык: Английский

Процитировано

0
Constraining Dike Opening Models With Seismic Velocity Changes Associated With the 2023–2024 Eruption Sequence on the Reykjanes Peninsula DOI Creative Commons
Elijah Bird, James Atterholt, Jiaxuan Li

и другие.

AGU Advances, Год журнала: 2025, Номер 6(1)

Опубликована: Фев. 1, 2025

Abstract The stress field perturbation caused by magmatic intrusions within volcanic systems induces strain in the surrounding region. This effect results opening and closing of microcracks vicinity intrusion, which can affect regional seismic velocities. In late November 2023, we deployed a distributed acoustic sensing interrogator to convert an existing 100‐km telecommunication fiber‐optic cable along coast Iceland's Reykjanes peninsula into dense array, has run continuously. Measuring changes surface wave moveout with ambient noise cross‐correlation, observe up 2% Rayleigh phase velocity following eruptions peninsula's 2023–2024 sequence that are likely associated eruption‐feeding dike. We apply Bayesian inversion compute posterior distribution potential dike models for each eruption considering measurements varying channel pairs frequency bands, assuming this change is tied volumetric dike‐opening. Our agreement those based on geodetic measurement provide independent constraints depth dike, demonstrating viability novel new volcano monitoring directions through fiber sensing.

Язык: Английский

Процитировано

0
Comprehensive Evaluation of DAS Amplitude and Its Implications for Earthquake Early Warning and Seismic Interferometry DOI Creative Commons
Qiushi Zhai, Jiuxun Yin, Yan Yang

и другие.

Journal of Geophysical Research Solid Earth, Год журнала: 2025, Номер 130(4)

Опубликована: Март 28, 2025

Abstract Distributed Acoustic Sensing (DAS) is an emerging technology that converts optical fibers into dense arrays of strainmeters, significantly enhancing our understanding earthquake physics and Earth's structure. While most past DAS studies have focused primarily on seismic wave phase information, accurate measurements true ground motion amplitudes are crucial for comprehensive future analyses. However, in recordings, especially pre‐existing telecommunication cables with uncertain fiber‐ground coupling, not been fully quantified. By calibrating three co‐located seismometers, we systematically evaluate amplitudes. Our results indicate the average amplitude signals closely matches seismometer data across frequencies from 0.01 to 10 Hz. The noise floor comparable strong‐motion stations but higher than broadband stations. saturation adjustable by modifying pulse repetition rate gauge length. We also demonstrate how findings enhance fiber‐optic seismology its implications natural hazard mitigation Earth structure imaging monitoring. Specifically, suggest proper settings, can detect P ‐waves M6+ occurring km cable without saturation, indicating viability early warning. Through quantitative comparison analysis, find local ambient traffic levels strongly affect quality interferometry measurement, which a powerful tool near‐surface methodology valuable experiments require precise measurements.

Язык: Английский

Процитировано

0
Passive Seismic Imaging of Urban Environments Using Distributed Acoustic Sensing: A Case Study from Melbourne, Australia DOI Creative Commons
Voon Hui Lai, Meghan S. Miller, Chengxin Jiang

и другие.

The Seismic Record, Год журнала: 2024, Номер 4(4), С. 308 - 317

Опубликована: Окт. 1, 2024

Abstract Distributed acoustic sensing (DAS) offers a cost effective, nonintrusive method for high-resolution near-surface characterization in urban environments where conventional geophysical surveys are limited or nonexistent. However, passive imaging with DAS settings presents challenges such as strong diurnal traffic noise, nonlinear array geometry, and poor fiber coupling to the ground. We repurposed dark Melbourne, Australia, into 25 km that traces busy arterial roads, tram routes, orthogonal sections. By employing noise cross correlation beamforming, we calculated dispersion curves successfully inverted shear-wave velocity model down 100 meters. Stationary seismic sources maximized by selecting daytime signals, thereby recovering surface waves reducing interference from man-made structures subsurface. Poorly coupled channels, which linked maintenance pits, identified through cross-correlation amplitudes. The curve calculation further considers channel orientation avoid mixing Rayleigh Love waves. Using trans-dimensional Markov chain Monte Carlo sampling approach, achieved effective inversion without prior reference model. resulting profile aligns mapped lithology reveals previously undocumented lithological variation.

Язык: Английский

Процитировано

1