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Journal articles on the topic 'Moment tensor inversion'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Jia, Zhe, Zhongwen Zhan, and Donald Helmberger. "Bayesian differential moment tensor inversion: theory and application to the North Korea nuclear tests." Geophysical Journal International 229, no. 3 (2022): 2034–46. http://dx.doi.org/10.1093/gji/ggac053.

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SUMMARY Moment tensors are key to seismic discrimination but often require accurate Green's functions for estimation. This limits the regions, frequency bands and wave types in moment tensor inversions. In this study, we propose a differential moment tensor inversion (diffMT) method that uses relative measurements to remove the path effects shared by clustered events, thereby improving the accuracy of source parameters. Using results from regular inversions as a priori distribution, we apply Bayesian Markov Chain Monte Carlo to invert the body- and surface wave amplitude ratios of an event pai

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2

Eaton, David W., and Farshid Forouhideh. "Solid angles and the impact of receiver-array geometry on microseismic moment-tensor inversion." GEOPHYSICS 76, no. 6 (2011): WC77—WC85. http://dx.doi.org/10.1190/geo2011-0077.1.

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Seismic moment tensors provide a concise mathematical representation of point sources that can be used to characterize microseismic focal mechanisms. After correction for propagation effects, the six independent components of a moment tensor can be found by least-squares inversion based on P- and/or S-waveform (or spectral) amplitudes observed at different directions from the source. Using synthetic waveform data, we investigated geometrical factors that affect the reliability of such inversions. We demonstrated that the solid angle subtended by the receiver array, as viewed from the source lo

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3

Du, Jing, and Norm R. Warpinski. "Uncertainty in FPSs from moment-tensor inversion." GEOPHYSICS 76, no. 6 (2011): WC65—WC75. http://dx.doi.org/10.1190/geo2011-0024.1.

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Although microseismic monitoring of hydraulic fractures has primarily been concerned with the dimensions, complexity, and growth of fractures or fracture systems, there is an ever-increasing desire to extract more information about the hydraulic-fracturing and/or natural fractures from microseismic data. Source mechanism analysis, which is concerned with deducing details of the failure process from the microseismic waveform data, is, therefore, attracting more attention. However, most of the studies focus more on the moment-tensor inversion than on extracting fault-plane solutions (FPSs) from

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4

Handika, Muhammad Syahrul Dwi, and Madlazim Madlazim. "ESTIMASI KARAKTERISTIK SESAR YANG MENYEBABKAN GEMPA DI WILAYAH BANJARNEGARA MENGGUNAKAN SOFTWARE MTINV." Inovasi Fisika Indonesia 9, no. 3 (2020): 1–6. http://dx.doi.org/10.26740/ifi.v9n3.p1-6.

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Abstrak Penelitian ini dilaksanakan dengan tujuan untuk menganalisis karakteristik sesar yang menyebabkan gempa dangkal yang terjadi di Banjarnegara dengan menggunakan software Moment Tensor Inversion (MTINV). Data yang digunakan pada penelitian ini adalah data sekunder berupa waveform tiga komponen pada tanggal 18 April 2018 yang diunduh dari WebDC3 BMKG. Untuk estimasi Centroid Moment Tensor (CMT) sebagai parameter gempa digunakan metode inversi seismik dan fungsi Green tiga komponen yang diaplikasikan ke dalam software Moment Tensor Inversion (MTINV). Hasil estimasi Centroid Moment Te

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5

Diner, Çağrı. "The Structure of Moment Tensors in Transversely Isotropic Focal Regions." Bulletin of the Seismological Society of America 109, no. 6 (2019): 2415–26. http://dx.doi.org/10.1785/0120180316.

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Abstract Full moment tensor inversion has become a standard method for understanding the mechanisms of earthquakes as the resolution of the inversion process increases. Thus, it is important to know the possible forms of non–double‐couple (non‐DC) moment tensors, which can be obtained because of either the different source mechanisms or the anisotropy of the focal regions. In this study, the form of the moment tensors of seismic sources occurring in transversely isotropic (TI) focal regions is obtained using the eigendecomposition of the elasticity tensor. More precisely, a moment tensor is ob

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6

Wang, Xin, and Zhongwen Zhan. "Moving from 1-D to 3-D velocity model: automated waveform-based earthquake moment tensor inversion in the Los Angeles region." Geophysical Journal International 220, no. 1 (2019): 218–34. http://dx.doi.org/10.1093/gji/ggz435.

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SUMMARY Earthquake focal mechanisms put primary control on the distribution of ground motion, and also bear on the stress state of the crust. Most routine focal mechanism catalogues still use 1-D velocity models in inversions, which may introduce large uncertainties in regions with strong lateral velocity heterogeneities. In this study, we develop an automated waveform-based inversion approach to determine the moment tensors of small-to-medium-sized earthquakes using 3-D velocity models. We apply our approach in the Los Angeles region to produce a new moment tensor catalogue with a completenes

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7

Saetang, Kasemsak. "Focal Mechanisms of Mw 6.3 Aftershocks from Waveform Inversions, Phayao Fault Zone, Northern Thailand." International Journal of Geophysics 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/9059825.

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The focal mechanisms of Mw 6.3 aftershocks, Chiang Rai Province, Northern Thailand, were determined by using a multistation waveform inversion. Three aftershocks were selected and their waveforms were inverted for moment tensor calculation. Waveform inversions were derived from three broadband stations with three components and epicentral distances less than 250 km after all seismic stations were considered. The deviatoric moment tensor inversion was used for focal mechanism calculations. Band-pass filtering in the range of 0.03–0.15 Hz was selected for reducing low- and high-frequency noise.

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8

Zhu, Lupei, and Yehuda Ben-Zion. "Parametrization of general seismic potency and moment tensors for source inversion of seismic waveform data." Geophysical Journal International 194, no. 2 (2013): 839–43. http://dx.doi.org/10.1093/gji/ggt137.

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Abstract We decompose a general seismic potency tensor into isotropic tensor, double-couple tensor and compensated linear vector dipole using the eigenvectors and eigenvalues of the full tensor. Two dimensionless parameters are used to quantify the size of the isotropic and compensated linear vector dipole components. The parameters have well-defined finite ranges and are suited for non-linear inversions of source tensors from seismic waveform data. The decomposition and parametrization for the potency tensor are used to obtain corresponding results for a general seismic moment tensor. The rel

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9

Yu, Xin, Scott Leaney, Jim Rutledge, and Chris Chapman. "Multievent moment-tensor inversion for ill-conditioned geometries." GEOPHYSICS 81, no. 2 (2016): KS11—KS24. http://dx.doi.org/10.1190/geo2015-0074.1.

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Moment-tensor inversion under single monitoring well geometries becomes unstable due to the singularity of the inversion matrix. But microseismic events observed during hydraulic fracturing commonly show clusters of events with similar source mechanisms despite differences in the origin time and the magnitude. If the events with similar source mechanisms can be grouped and inverted for a single common moment tensor, the singularity can be eliminated. We have developed a normalized multievent moment-tensor inversion (NME-MTI) method, which does the MTI simultaneously for multiple events, to tes

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10

Vavryčuk, Václav. "Inversion for the Composite Moment Tensor." Bulletin of the Seismological Society of America 105, no. 6 (2015): 3024–35. http://dx.doi.org/10.1785/0120150163.

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11

Malytskyy, D., O. Muyla, O. Hrytsaj, O. Kutniv, and O. Obidina. "Moment tensor inversion of wave forms." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 1 (68) (2015): 80–86. http://dx.doi.org/10.17721/1728-2713.68.14.80-86.

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12

Kong, Yue, Min Li, Weimin Chen, and Boqi Kang. "Accuracy of the moment-tensor inversion of far-field P waves." Geophysical Journal International 220, no. 1 (2019): 248–56. http://dx.doi.org/10.1093/gji/ggz446.

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SUMMARY The far-field assumption is widely used and suitable for the moment-tensor inversion in which the source–receiver distance is quite long. However, the description of far field is uncertain and an explicit far-field range is missing. In this study, the explicit far-field range is determined and the errors of moment-tensor solutions produced by the far-field approximation are analysed. The distance, for which the far-field assumption is satisfied and the effect of the near-field term can be ignored, is directionally dependent. For the shear dislocation, in the directions near the nodal l

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13

Chen, Yu, and Lianjie Huang. "Adaptive moment-tensor joint inversion of clustered microseismic events for monitoring geological carbon storage." Geophysical Journal International 219, no. 1 (2019): 80–93. http://dx.doi.org/10.1093/gji/ggz293.

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SUMMARY Moment-tensor inversion of induced microseismic events can provide valuable information for tracking CO2 plumes at geological carbon storage sites, and study the physical mechanism of induced microseismicity. Accurate moment-tensor inversion requires a wide-azimuthal coverage of geophones. Cost-effective microseismic monitoring for geological carbon storage often uses only one geophone array within a borehole, leading to a large uncertainty in moment-tensor inversion. We develop a new adaptive moment-tensor joint inversion method to reduce the inversion uncertainty, when using limited

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14

Spikin, Stuart A. "Estimation of earthquake source parameters by the inversion of waveform data: Global seismicity, 1981-1983." Bulletin of the Seismological Society of America 76, no. 6 (1986): 1515–41. http://dx.doi.org/10.1785/bssa0760061515.

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Abstract A waveform inversion algorithm, based on optimal filter theory, has been applied to the P waves from 260 of the largest earthquakes occurring during the years 1981 through 1983. Estimates of average focal depth, scalar moment, and deviatoric source mechanism have been obtained. For all except the largest events (M0 &gt; 1027 dyne-cm), the scalar moments obtained in this study are close to, but somewhat larger than, the Harvard centroid-moment tensor (CMT) scalar moments. The CMT estimates of scalar moment are probably biased to low values due to the way unmodeled lateral heterogen

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15

Eyre, Thomas S., and Mirko van der Baan. "The reliability of microseismic moment-tensor solutions: Surface versus borehole monitoring." GEOPHYSICS 82, no. 6 (2017): KS113—KS125. http://dx.doi.org/10.1190/geo2017-0056.1.

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Source mechanisms of microseismic events, resolved as moment-tensor solutions, usually are obtained using either surface monitoring arrays, which appear to obtain mechanisms with high shear components, or borehole arrays, which tend to constrain more variable mechanisms with higher tensile components; however, the corresponding reliability of the solutions remains unclear. Synthetic tests are therefore conducted to compare the reliability of moment-tensor solutions from surface and two- and three-well borehole arrays based purely on geometry. Moment-tensor inversion is carried out for syntheti

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16

Kühn, Daniela, Sebastian Heimann, Marius P. Isken, Elmer Ruigrok, and Bernard Dost. "Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, The Netherlands, Part 1: Testing." Bulletin of the Seismological Society of America 110, no. 5 (2020): 2095–111. http://dx.doi.org/10.1785/0120200099.

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ABSTRACT Since 1991, induced earthquakes have been observed and linked to gas production in the Groningen field. Recorded waveforms are complex, resulting partly from a Zechstein salt layer overlying the reservoir and partly from free-surface reverberations, internal multiples, interface conversions, guided waves, and waves diving below the reservoir. Therefore, picking of polarities or amplitudes for use in moment tensor inversion is problematic, whereas phase identification may be circumvented employing full waveform techniques. Although moment tensors have become a basic tool to analyze ear

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17

Donner, S., M. Mustać, B. Hejrani, H. Tkalčić, and H. Igel. "Seismic moment tensors from synthetic rotational and translational ground motion: Green’s functions in 1-D versus 3-D." Geophysical Journal International 223, no. 1 (2020): 161–79. http://dx.doi.org/10.1093/gji/ggaa305.

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SUMMARY Seismic moment tensors are an important tool and input variable for many studies in the geosciences. The theory behind the determination of moment tensors is well established. They are routinely and (semi-) automatically calculated on a global scale. However, on regional and local scales, there are still several difficulties hampering the reliable retrieval of the full seismic moment tensor. In an earlier study, we showed that the waveform inversion for seismic moment tensors can benefit significantly when incorporating rotational ground motion in addition to the commonly used translat

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18

Agalos, A., P. Papadimitriou, N. Voulgaris, and K. Makropoulos. "Source parameters estimation from broadband regional seismograms for earthquakes in the Aegean region and the Gorda plate." Bulletin of the Geological Society of Greece 40, no. 3 (2018): 1032. http://dx.doi.org/10.12681/bgsg.16795.

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Seismic moment tensors are estimated for earthquakes offshore Northern California and Greece using inversion of regionally recorded broadband seismograms. This study includes inversion results for the strongest events that occurred inside the Gorda plate and near the Mendocino triple junction from 1991 to 2005. The regional results are in good agreement with obtained teleseismic results. We finally applied the moment tensor inversion methodology and validation mainly to moderate sized earthquakes, with magnitude greater than M~4.0, in the Aegean area. The focal mechanisms of HI earthquakes tha

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19

Eulenfeld, Tom, Torsten Dahm, Sebastian Heimann, and Ulrich Wegler. "Fast and Robust Earthquake Source Spectra and Moment Magnitudes from Envelope Inversion." Bulletin of the Seismological Society of America 112, no. 2 (2021): 878–93. http://dx.doi.org/10.1785/0120210200.

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ABSTRACT With the present study, we introduce a fast and robust method to calculate the source displacement spectra of small earthquakes on a local to regional scale. The work is based on the publicly available Qopen method of full envelope inversion, which is further tuned for the given purpose. Important source parameters—seismic moment, moment magnitude, corner frequency, and high-frequency fall off—are determined from the source spectra by fitting a simple earthquake source model. The method is demonstrated by means of a data set comprising the 2018 West Bohemia earthquake swarm. We report

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20

O'Connell, Daniel R. H., and Lane R. Johnson. "Second-order moment tensors of microearthquakes at The Geysers geothermal field, California." Bulletin of the Seismological Society of America 78, no. 5 (1988): 1674–92. http://dx.doi.org/10.1785/bssa0780051674.

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Abstract The Geysers geothermal field is the site of intense microseismicity which appears to be associated with steam production. It seems that focal mechanisms of earthquakes at The Geysers vary systematically with depth, but P-wave first-motion focal mechanism studies have been hampered by inadequate resolution. In this study an unconstrained frequency domain moment tensor inversion method is used to over come P-wave first-motion focal sphere distribution problems and to investigate microearthquake source properties. A goal was to investigate the feasibility of using waveforms to invert for

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21

Satake, Kenji. "Effects of station coverage on moment tensor inversion." Bulletin of the Seismological Society of America 75, no. 6 (1985): 1657–67. http://dx.doi.org/10.1785/bssa0750061657.

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Abstract The effects of station distribution and focal mechanism on moment tensor inversion are examined by means of numerical experiment. The far-field displacements of P and Rayleigh waves computed from fault models are inverted to the moment tensor after the error corresponding to the observation error is added to the displacement. The rms error is defined as rms of the differences between the given fault parameters and the parameters obtained from the inverted moment tensor. Experiments are made for both ideal and actual station coverages. The rms errors are found to be proportional to the

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22

Bai, Qipeng, Sidao Ni, Risheng Chu, and Zhe Jia. "gCAPjoint, A Software Package for Full Moment Tensor Inversion of Moderately Strong Earthquakes with Local and Teleseismic Waveforms." Seismological Research Letters 91, no. 6 (2020): 3550–62. http://dx.doi.org/10.1785/0220200031.

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Abstract Earthquake moment tensors and focal depths are crucial to assessing seismic hazards and studying active tectonic and volcanic processes. Although less powerful than strong earthquakes (M 7+), moderately strong earthquakes (M 5–6.5) occur more frequently and extensively, which can cause severe damages in populated areas. The inversion of moment tensors is usually affected by insufficient local waveform data (epicentral distance &lt;5°) in sparse seismic networks. It would be necessary to combine local and teleseismic data (epicentral distance 30°–90°) for a joint inversion. In this

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23

FUKUSHIMA, Takeshi, Daisuke SUETSUGU, and Ichiro NAKANISHI. "Single station moment tensor inversion for near earthquakes." Journal of Physics of the Earth 36, no. 3 (1988): 125–33. http://dx.doi.org/10.4294/jpe1952.36.125.

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24

Godano, M., T. Bardainne, M. Regnier, and A. Deschamps. "Moment-Tensor Determination by Nonlinear Inversion of Amplitudes." Bulletin of the Seismological Society of America 101, no. 1 (2011): 366–78. http://dx.doi.org/10.1785/0120090380.

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25

Eyre, Thomas S., and Mirko van der Baan. "Overview of moment-tensor inversion of microseismic events." Leading Edge 34, no. 8 (2015): 882–88. http://dx.doi.org/10.1190/tle34080882.1.

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26

Yu, Xin, Scott Leaney, Jim Rutledge, and Chris Chapman. "Multievent moment-tensor inversion for ill-conditioned geometries." GEOPHYSICS 81, no. 2 (2016): KS33—KS46. http://dx.doi.org/10.1190/geo-2015-0074.1.

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27

Grechka, Vladimir, Zhao Li, Bo Howell, and Václav Vavryčuk. "Single-well moment tensor inversion of tensile microseismic events." GEOPHYSICS 81, no. 6 (2016): KS219—KS229. http://dx.doi.org/10.1190/geo2016-0186.1.

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Microseismic data acquired in a single observation well parallel to the axis of rotational symmetry of surrounding rocks — typically, in a vertical well drilled through a horizontally layered isotropic or vertically transversely isotropic formation — cannot be uniquely inverted for six independent components comprising the full seismic moment tensor. To constrain the inversion for such a survey geometry and medium symmetry, one might assume certain physical properties of seismic sources, the properties relating otherwise independent moment components to each other, regularizing moment tensor i

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28

Moshou, A., P. Papadimitriou, and K. Makropoulos. "MOMENT TENSOR DETERMINATION USING A NEW WAVEFORM INVERSION TECHNIQUE." Bulletin of the Geological Society of Greece 43, no. 4 (2017): 2104. http://dx.doi.org/10.12681/bgsg.11401.

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In this study a new waveform inversion methodology was developed to determine the source parameters of an earthquake. This technique is based on analyzing data recorded both at teleseismic and regional distances. To apply the inversion three different methods, which are the normal equations, the QR-decomposition and the singular value decomposition (SVD), were successfully tested, similar results were obtained and the SVD method was selected. The proposed inversion methodology was applied to large, as well as to earthquakes of moderate magnitude. Analysis of moderate events is crucial for seis

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29

Ma, Ju, Shuang Wu, Yuan Zhao, and Guoyan Zhao. "Cooperative P-Wave Velocity Measurement with Full Waveform Moment Tensor Inversion in Transversely Anisotropic Media." Sensors 22, no. 5 (2022): 1935. http://dx.doi.org/10.3390/s22051935.

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Precise stochastic approaches to quantitatively calculate the source uncertainties offers the opportunity to eliminate the influence of anisotropy on moment tensor inversion. The effects of ignoring anisotropy were tested by using homogeneous Green’s functions. Results indicate the influence of anisotropy and noise on fault plane rotation is very small for a pure shear source whether it is restricted to double couple solution or full moment tensor solution. Green’s functions with different prior rough anisotropy information were tested, indicating that the complex source is more sensitive to v

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30

Pugh, D. J., and R. S. White. "MTfit: A Bayesian Approach to Seismic Moment Tensor Inversion." Seismological Research Letters 89, no. 4 (2018): 1507–13. http://dx.doi.org/10.1785/0220170273.

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31

Hudson, J. A., R. G. Pearce, and R. M. Rogers. "Source type plot for inversion of the moment tensor." Journal of Geophysical Research 94, B1 (1989): 765. http://dx.doi.org/10.1029/jb094ib01p00765.

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32

Yang, Xiaoning, Brian W. Stump, and D. Craig Pearson. "Moment tensor inversion of single-hole mining cast blasts." Geophysical Journal International 139, no. 3 (1999): 679–90. http://dx.doi.org/10.1046/j.1365-246x.1999.00958.x.

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33

Huang, Hsin-Hua, Naofumi Aso, and Victor C. Tsai. "Toward automated directivity estimates in earthquake moment tensor inversion." Geophysical Journal International 211, no. 2 (2017): 1062–76. http://dx.doi.org/10.1093/gji/ggx354.

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34

Kawakatsu, Hitoshi, and Jean-Paul Montagner. "Time-reversal seismic-source imaging and moment-tensor inversion." Geophysical Journal International 175, no. 2 (2008): 686–88. http://dx.doi.org/10.1111/j.1365-246x.2008.03926.x.

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35

Stich, Daniel, Rosa Martín, and Jose Morales. "Moment tensor inversion for Iberia–Maghreb earthquakes 2005–2008." Tectonophysics 483, no. 3-4 (2010): 390–98. http://dx.doi.org/10.1016/j.tecto.2009.11.006.

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36

Syafitri, Adinda Nur, and Supardiyono . "ANALISIS CENTROID MOMENT TENSOR (CMT) GEMPA BUMI DI SELAT SUNDA PADA 22 DESEMBER 2018 SEBELUM TSUNAMI BANTEN." Inovasi Fisika Indonesia 9, no. 2 (2020): 178–83. http://dx.doi.org/10.26740/ifi.v9n2.p178-183.

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ABSTRAK Penelitian ini dilakukan dengan tujuan untuk menganalisis penyebab gempa di wilayah Selat Sunda dan menganalisis hasil estimasi Centroid Moment tensor (CMT) dengan menggunakan metode inversi waveform tiga komponen yang di implementasikan kedalam software MTINV. Wilayah penelitian yang digunakan adalah wilayah Selat Sunda, hal ini karena wilayah Selat Sunda memiliki tingkat seismik yang tinggi. Data yang digunakan pada penelitian ini yaitu dua data sekunder pada tanggal 22 Desember 2018 dan pada tanggal 13 Februari 2019 yang memiliki magnitudo sama yaitu 5.1 SR, data penelitian di

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37

Song, Fuxian, and M. Nafi Toksöz. "Full-waveform based complete moment tensor inversion and source parameter estimation from downhole microseismic data for hydrofracture monitoring." GEOPHYSICS 76, no. 6 (2011): WC103—WC116. http://dx.doi.org/10.1190/geo2011-0027.1.

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Downhole microseismic monitoring is a valuable tool in understanding the efficacy of hydraulic fracturing. Inverting for the moment tensor has gained increasing popularity in recent years as a way to understand the fracturing process. Previous studies utilize only part of the information in the waveforms, such as direct P- and S-wave amplitudes, and make far-field assumptions to determine the source mechanisms. The method is hindered in downhole monitoring, when only limited azimuthal coverage is available. In this study, we develop an approach to invert for complete moment tensor using full-w

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38

Krizova, D., J. Zahradnik, and A. Kiratzi. "Resolvability of Isotropic Component in Regional Seismic Moment Tensor Inversion." Bulletin of the Seismological Society of America 103, no. 4 (2013): 2460–73. http://dx.doi.org/10.1785/0120120097.

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39

Kim, Myungsun, Joongmoo Byun, and Soonjee Seol. "Optimum Receiver Geometry for Moment Tensor Inversion of Microseismic Data." Journal of the Korean Society of Mineral and Energy Resources Engineers 51, no. 2 (2014): 211–19. http://dx.doi.org/10.12972/ksmer.2014.51.2.211.

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40

Sen, Ali Tolga, Simone Cesca, Monika Bischoff, Thomas Meier, and Torsten Dahm. "Automated full moment tensor inversion of coal mining-induced seismicity." Geophysical Journal International 195, no. 2 (2013): 1267–81. http://dx.doi.org/10.1093/gji/ggt300.

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41

Mustać, Marija, and Hrvoje Tkalčić. "Point source moment tensor inversion through a Bayesian hierarchical model." Geophysical Journal International 204, no. 1 (2015): 311–23. http://dx.doi.org/10.1093/gji/ggv458.

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42

Vackář, Jiří, Jan Burjánek, František Gallovič, Jiří Zahradník, and John Clinton. "Bayesian ISOLA: new tool for automated centroid moment tensor inversion." Geophysical Journal International 210, no. 2 (2017): 693–705. http://dx.doi.org/10.1093/gji/ggx158.

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43

Wéber, Zoltán. "Probabilistic local waveform inversion for moment tensor and hypocentral location." Geophysical Journal International 165, no. 2 (2006): 607–21. http://dx.doi.org/10.1111/j.1365-246x.2006.02934.x.

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44

Cesca, S., E. Buforn, and T. Dahm. "Amplitude spectra moment tensor inversion of shallow earthquakes in Spain." Geophysical Journal International 166, no. 2 (2006): 839–54. http://dx.doi.org/10.1111/j.1365-246x.2006.03073.x.

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45

Strelitz, R. A. "Choosing the ‘best’ double couple from a moment-tensor inversion." Geophysical Journal International 99, no. 3 (1989): 811–15. http://dx.doi.org/10.1111/j.1365-246x.1989.tb02060.x.

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46

Bernardi, Fabrizio, Jochen Braunmiller, Urs Kradolfer, and Domenico Giardini. "Automatic regional moment tensor inversion in the European-Mediterranean region." Geophysical Journal International 157, no. 2 (2004): 703–16. http://dx.doi.org/10.1111/j.1365-246x.2004.02215.x.

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47

Xu, Li-Sheng, and Yun-Tai Chen. "The effect of focal depth error on moment tensor inversion." Acta Seismologica Sinica 10, no. 5 (1997): 571–80. http://dx.doi.org/10.1007/s11589-997-0020-4.

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48

Zhou, Rong-Mao, Yun-Tai Chen, and Zhong-Liang Wu. "Moment tensor inversion for focal mechanism of the Beibuwan earthquakes." Acta Seismologica Sinica 12, no. 6 (1999): 609–17. http://dx.doi.org/10.1007/s11589-999-0061-y.

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Dost, Bernard, Annemijn van Stiphout, Daniela Kühn, Marloes Kortekaas, Elmer Ruigrok, and Sebastian Heimann. "Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, the Netherlands, Part 2: Application." Bulletin of the Seismological Society of America 110, no. 5 (2020): 2112–23. http://dx.doi.org/10.1785/0120200076.

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ABSTRACT Recent developments in the densification of the seismic network covering the Groningen gas field allow a more detailed study of the connection between induced seismicity and reactivated faults around the gas reservoir at 3 km depth. With the reduction of the average station distance from 20 km to 4–5 km, a probabilistic full-waveform moment tensor inversion procedure could be applied, resulting in both improved hypocenter location accuracy and full moment tensor solutions for events of M≥2.0 recorded in the period 2016–2019. Hypocenter locations as output from the moment tensor invers

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Day, Steven M., and Keith L. McLaughlin. "Seismic source representations for spall." Bulletin of the Seismological Society of America 81, no. 1 (1991): 191–201. http://dx.doi.org/10.1785/bssa0810010191.

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Abstract Spall may be a significant secondary source of seismic waves from underground explosions. The proper representation of spall as a seismic source is important for forward and inverse modeling of explosions for yield estimation and discrimination studies. We present a new derivation of a widely used point force representation for spall, which is based on a horizontal tension crack model. The derivation clarifies the relationship between point force and moment tensor representations of the tension crack. For wavelengths long compared with spall depth, the two representations are equivale

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