Results 61 to 70 of about 97,428 (295)

Properties of seismic noise at the Virgo site

Classical and Quantum Gravity, 2004
We present the results of a study of the major low-frequency sources of seismic activity at the Virgo site. These sources are of natural and human origin: oceanic microseism (below 1 Hz), local traffic and human activity on site (below 10 Hz). Using data collected during the commissioning of the central Virgo interferometer (CITF) we have measured the ...
F. ACERNESE, P. AMICO, M. ALSHOURBAGY, F. ANTONUCCI, S. AOUDIA, P. ASTONE, S. AVINO, D. BABUSCI, G. BALLARDIN, F. BARONE, L. BARSOTTI, M. BARSUGLIA, F. BEAUVILLE, S. BIGOTTA, S. BIRINDELLI, M. A. BIZOUARD, C. BOCCARA, F. BONDU, L. BOSI, C. BRADASCHIA, S. BRACCINI, A. BRILLET, V. BRISSON, D. BUSKULIC, E. CALLONI, E. CAMPAGNA, F. CARBOGNANI, F. CAVALIER, R. CAVALIERI, G. CELLA, E. CESARINI, E. CHASSANDE MOTTIN, N. CHRISTENSEN, C. CORDA, A. CORSI, F. COTTONE, A. C. CLAPSON, F. CLEVA, J. P. COULON, E. CUOCO, A. DARI, V. DATTILO, M. DAVIER, M. DEL PRETE, R. DE ROSA, L. DI FIORE, A. DI VIRGILIO, B. DUJARDIN, A. ELEUTERI, I. FERRANTE, F. FIDECARO, I. FIORI, R. FLAMINIO, J. D. FOURNIER, FRASCA, Sergio, F. FRASCONI, L. GAMMAITONI, F. GARUFI, E. GENIN, A. GENNAI, A. GIAZOTTO, G. GIORDANO, L. GIORDANO, R. GOUATY, D. GROSJEAN, G. GUIDI, S. HEBRI, H. HEITMANN, P. HELLO, S. KARKAR, S. KRECKELBERGH, P. LA PENNA, M. LAVAL, N. LEROY, N. LETENDRE, B. LOPEZ, M. LORENZINI, V. LORIETTE, G. LOSURDO, J. M. MACKOWSKI, E. MAJORANA, C. N. MAN, M. MANTOVANI, F. MARCHESONI, F. MARION, J. MARQUE, F. MARTELLI, A. MASSEROT, M. MAZZONI, L. MILANO, F. MENZINGER, C. MOINS, J. MOREAU, N. MORGADO, B. MOURS, F. NOCERA, C. PALOMBA, F. PAOLETTI, S. PARDI, A. PASQUALETTI, R. PASSAQUIETI, D. PASSUELLO, F. PIERGIOVANNI, L. PINARD, R. POGGIANI, M. PUNTURO, P. PUPPO, K. QIPIANI, RAPAGNANI, Piero, V. REITA, A. REMILLIEUX, RICCI, Fulvio, I. RICCIARDI, P. RUGGI, G. RUSSO, S. SOLIMENO, A. SPALLICCI, M. TARALLO, M. TONELLI, A. TONCELLI, E. TOURNEFIER, F. TRAVASSO, C. TREMOLA, GABRIELE VAJENTE, D. VERKINDT, F. VETRANO, A. VICERE, J. Y. VINET, H. VOCCA, M. YVERT   +129 more
openaire   +6 more sources

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

DEAE-INR: Dual Encoder Based Autoencoders With Implicit Neural Representations for Seismic Random Noise Attenuation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Seismic random noise attenuation is an essential step in seismic data processing. Noise in seismic data may degrade their quality, which leads to misinterpretation of Earth's subsurface structures.
Nakka Shekhar, Karthikeyan Elumalai
doaj   +1 more source

Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Random noise attenuation in seismic data requires employing leading-edge methods to attain reliable denoised data. Efficient noise removal, effective signal preservation and recovery, reasonable processing time with a minimum signal distortion and ...
Javad Mafakheri, Amin Roshandel Kahoo, Rasoul Anvari, Mokhtar Mohammadi, Mohammad Radad, Mehrdad Soleimani Monfared   +5 more
doaj   +1 more source

Recognition and reconstruction of coherent energy with application to deep seismic reflection data [PDF]

, 2000
Reflections in deep seismic reflection data tend to be visible on only a limited number of traces in a common midpoint gather. To prevent stack degeneration, any noncoherent reflection energy has to be removed.
Paul, A., Van der Baan, M.
core   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Dynamic features of “Petrozavodsk” seismic station

Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2016
The paper is devoted to the estimability and recordability of seismic events, namely the research of the noise power spectral density (PSD) and its diurnal variation around “Petrozavodsk” seismic station (PTRZ), located within the Onega structure of the ...
Александр Валерьевич Климовский, Вера Александровна Мещерякова, Артем Анатольевич Лебедев, Alexandr Klimovskii, Vera Meshcheryakova, Artem Lebedev   +5 more
doaj   +1 more source

COVID-19 societal response captured by seismic noise in China and Italy

, 2020
Seismic noise with frequencies above 1 Hz is often called cultural noise and is generally correlated quite well with human activities. Recently, cities in mainland China and Italy imposed lockdown restrictions in response to COVID-19, which gave us an ...
Eilon, Zachary, Ji, Chen, Tanimoto, Toshiro, Xiao, Han   +3 more
core  

Stability of Monitoring Weak Changes in Multiply Scattering Media with Ambient Noise Correlation: Laboratory Experiments [PDF]

, 2009
Previous studies have shown that small changes can be monitored in a scattering medium by observing phase shifts in the coda. Passive monitoring of weak changes through ambient noise correlation has already been applied to seismology, acoustics and ...
Céline Hadziioannou, Eric Larose, Jenkins G. M., Michel Campillo, Olivier Coutant, Philippe Roux, Zagzebski J. A.   +6 more
core   +5 more sources

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source