scholarly journals A new algorithm for three-dimensional joint inversion of body wave and surface wave data and its application to the Southern California plate boundary region

2016 ◽  
Vol 121 (5) ◽  
pp. 3557-3569 ◽  
Author(s):  
Hongjian Fang ◽  
Haijiang Zhang ◽  
Huajian Yao ◽  
Amir Allam ◽  
Dimitri Zigone ◽  
...  
Keyword(s):  
Surface Wave ◽  
Southern California ◽  
Joint Inversion ◽  
Body Wave ◽  
Three Dimensional ◽  
Plate Boundary ◽  
Boundary Region ◽  
Wave Data ◽  
Surface Wave Data

scholarly journals Imaging the subsurface using induced seismicity and ambient noise: 3-D tomographic Monte Carlo joint inversion of earthquake body wave traveltimes and surface wave dispersion

2020 ◽  
Vol 222 (3) ◽  
pp. 1639-1655
Author(s):  
Xin Zhang ◽  
Corinna Roy ◽  
Andrew Curtis ◽  
Andy Nowacki ◽  
Brian Baptie
Keyword(s):  
Surface Wave ◽  
Ambient Noise ◽  
Velocity Structure ◽  
Joint Inversion ◽  
Body Wave ◽  
Source Parameters ◽  
Wave Dispersion ◽  
Inversion Method ◽  
Surface Wave Dispersion ◽  
Wave Data

SUMMARY Seismic body wave traveltime tomography and surface wave dispersion tomography have been used widely to characterize earthquakes and to study the subsurface structure of the Earth. Since these types of problem are often significantly non-linear and have non-unique solutions, Markov chain Monte Carlo methods have been used to find probabilistic solutions. Body and surface wave data are usually inverted separately to produce independent velocity models. However, body wave tomography is generally sensitive to structure around the subvolume in which earthquakes occur and produces limited resolution in the shallower Earth, whereas surface wave tomography is often sensitive to shallower structure. To better estimate subsurface properties, we therefore jointly invert for the seismic velocity structure and earthquake locations using body and surface wave data simultaneously. We apply the new joint inversion method to a mining site in the United Kingdom at which induced seismicity occurred and was recorded on a small local network of stations, and where ambient noise recordings are available from the same stations. The ambient noise is processed to obtain inter-receiver surface wave dispersion measurements which are inverted jointly with body wave arrival times from local earthquakes. The results show that by using both types of data, the earthquake source parameters and the velocity structure can be better constrained than in independent inversions. To further understand and interpret the results, we conduct synthetic tests to compare the results from body wave inversion and joint inversion. The results show that trade-offs between source parameters and velocities appear to bias results if only body wave data are used, but this issue is largely resolved by using the joint inversion method. Thus the use of ambient seismic noise and our fully non-linear inversion provides a valuable, improved method to image the subsurface velocity and seismicity.

scholarly journals Vp/Vs tomography in the southern California plate boundary region using body and surface wave traveltime data

2018 ◽  
Vol 216 (1) ◽  
pp. 609-620 ◽  
Author(s):  
Hongjian Fang ◽  
Huajian Yao ◽  
Haijiang Zhang ◽  
Clifford Thurber ◽  
Yehuda Ben-Zion ◽  
...  
Keyword(s):  
Surface Wave ◽  
Southern California ◽  
Plate Boundary ◽  
Boundary Region

scholarly journals A Reduced Order Approach for Probabilistic Inversions of 3DMagnetotelluric Data II: Joint inversion of MT and Surface-Wave Data

2021 ◽  
Author(s):  
María Constanza Manassero ◽  
Juan Carlos Afonso ◽  
Fabio Iván Zyserman ◽  
Sergio Zlotnik ◽  
Ilya Fomin
Keyword(s):  
Surface Wave ◽  
Joint Inversion ◽  
Reduced Order ◽  
Wave Data ◽  
Surface Wave Data

Focal mechanism and source depth of earthquakes from body- and surface-wave data

1971 ◽  
Vol 61 (5) ◽  
pp. 1369-1379 ◽  
Author(s):  
Nezihi Canitez ◽  
M. Nafi Toksöz
Keyword(s):  
Surface Wave ◽  
Body Wave ◽  
Source Parameters ◽  
Focal Depth ◽  
Spectral Ratio ◽  
The Body ◽  
Spectral Ratios ◽  
Motion Data ◽  
Wave Data ◽  
Surface Wave Data

abstract The determination of focal depth and other source parameters by the use of first-motion data and surface-wave spectra is investigated. It is shown that the spectral ratio of Love to Rayleigh waves (L/R) is sensitive to all source parameters. The azimuthal variation of the L/R spectral ratios can be used to check the fault-plane solution as well as for focal depth determinations. Medium response, attenuation, and source finiteness seriously affect the absolute spectra and introduce uncertainty into the focal depth determinations. These effects are nearly canceled out when L/R amplitude ratios are used. Thus, the preferred procedure for source mechanism studies of shallow earthquakes is to use jointly the body-wave data, absolute spectra of surface waves, and the Love/Rayleigh spectral ratios. With this procedure, focal depths can be determined to an accuracy of a few kilometers.

Effects of thin soft layers on body waves

1969 ◽  
Vol 59 (5) ◽  
pp. 2071-2078
Author(s):  
Tom Landers ◽  
Jon F. Claerbout
Keyword(s):  
Surface Wave ◽  
Upper Mantle ◽  
Body Wave ◽  
Wave Dispersion ◽  
Soft Material ◽  
Body Waves ◽  
Surface Wave Dispersion ◽  
Wave Data ◽  
Use Of Time ◽  
Surface Wave Data

abstract The inability of simple layered models to fit both Rayleigh wave and Love wave data has led to the proposal of an upper mantle interleaved with thin soft horizontal layers. Since surface-wave dispersion is not sensitive to the distribution of soft material but only to the fraction of soft material a variety of models is possible. The solution to this indeterminancy is found through body-wave analysis. It is shown that body waves are dispersed according to the thinness and softness of the layers. Three models, each of which satisfy all surface-wave data, are examined. Transmission seismograms calculated for these models show one to be impossible, one improbable and the other possible. Synthesis of the seismograms is accomplished through the use of time domain theory as the complicated frequency response of the models makes a frequency oriented Haskell-Thompson approach impractical.

Joint Inversion Of Ves And Surface Wave Data

2002 ◽  
Author(s):  
Cesare Comina ◽  
Sebastiano Foti ◽  
Luigi Sambuelli ◽  
Laura V. Socco ◽  
Claudio Strobbia
Keyword(s):  
Surface Wave ◽  
Joint Inversion ◽  
Wave Data ◽  
Surface Wave Data

scholarly journals A Reduced Order Approach for Probabilistic Inversions of 3DMagnetotelluric Data II: Joint inversion of MT and Surface-Wave Data

2021 ◽  
Author(s):  
María Constanza Manassero ◽  
Juan Carlos Carlos Afonso ◽  
Fabio Iván Zyserman ◽  
Sergio Zlotnik ◽  
Ilya Fomin
Keyword(s):  
Surface Wave ◽  
Joint Inversion ◽  
Reduced Order ◽  
Wave Data ◽  
Surface Wave Data

Joint inversion of gravity and surface wave data constrained by magnetotelluric: Application to deep geothermal exploration of crustal fault zone in felsic basement

Geothermics ◽  
2019 ◽  
Vol 80 ◽  
pp. 56-68 ◽  
Author(s):  
Jean-Michel Ars ◽  
Pascal Tarits ◽  
Sophie Hautot ◽  
Mathieu Bellanger ◽  
Olivier Coutant ◽  
...  
Keyword(s):  
Surface Wave ◽  
Fault Zone ◽  
Joint Inversion ◽  
Geothermal Exploration ◽  
Wave Data ◽  
Surface Wave Data
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