Results 131 to 140 of about 19,474 (278)
Low-Frequency Seismic Noise Properties in the Japanese Islands. [PDF]
Lyubushin A.
europepmc +1 more source
Dense seismic network provides new insight into the 2007 Upptyppingar dyke intrusion [PDF]
Factors such as network geometry, network size and phase-picking accuracy have significant effects on the precision of seismic hypocentre locations. In turn, the precision of the hypocentral locations dictates the degree to which morphological details ...
Jakobsdottir, S. S. +5 more
core
Nonstationary Spatial Correlation of Earthquake Ground Motions in California
Assessing seismic risk to spatially distributed infrastructure systems requires realistic representations of spatially correlated ground motions. Existing models for the spatial correlations of ground motions rely on strong second‐order stationarity assumptions, under which the correlation structure is assumed to be invariant across space, potentially ...
Pengfei Wang +4 more
wiley +1 more source
Effect of coronavirus lockdowns on the ambient seismic noise levels in Gujarat, northwest India. [PDF]
Roy KS, Sharma J, Kumar S, Kumar MR.
europepmc +1 more source
Validation of ShakeMaps Created From Global Navigation Satellite System (GNSS) Velocities
Ground velocity observations generated through a time difference of Global Navigation Satellite Systems (GNSS) phase observables and orbits have been shown to be comparable to seismic recordings without clipping during intense ground motions. Computing GNSS velocities is also computationally scalable and increases the density of ground motion ...
Jensen V. DeGrande, Brendan W. Crowell
wiley +1 more source
Sparseness-constrained seismic deconvolution with curvelets [PDF]
Continuity along reflectors in seismic images is used via Curvelet representation to stabilize the convolution operator inversion. The Curvelet transform is a new multiscale transform that provides sparse representations for images that comprise smooth ...
Hennenfent, Gilles +2 more
core
Efficient Tensor Completion Algorithms for Highly Oscillatory Operators
ABSTRACT We address the problem of recovering highly oscillatory operators, represented as n×n$$ n\times n $$ matrices with a fixed set of observed entries. Given that these matrices can be well compressed by butterfly matrix decomposition of L=𝒪(logn) levels requiring only O(nlogn)$$ O\left(n\log n\right) $$ degrees of freedom, we propose a novel ...
Navjot Singh +3 more
wiley +1 more source
Transfer Learning and Benchmarking for Induced Seismic Event Detection: Insights From Oklahoma
Abstract Machine learning models for microseismicity detection are often limited by the scarcity of large and high‐quality labeled data sets in many regions. To address this need, we introduce the Oklahoma Labeled AI Dataset (OKLAD), a manually curated data set compiled by the Oklahoma Geological Survey (OGS).
Hongyu Xiao +7 more
wiley +1 more source
Abstract Large earthquakes often elevate seismicity in surrounding regions, as seen on the Xainza‐Dinggyê rift in southern Tibet after the 2015 MW 7.8 Gorkha (Nepal) earthquake. In contrast, the EW‐trending Yarlung Zangbo suture (YZS), located directly north of this event, exhibits seismic quiescence.
Yunfeng Tian +6 more
wiley +1 more source
Ambient seismic noise Rayleigh wave tomography for the Pannonian basin [PDF]
Gráczer, Zoltán +2 more
core +1 more source

