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3 results for “Coseismic Slip Distribution”
New fault slip distribution for the 2010 Mw 7.2 El Mayor Cucapah earthquake based on realistic 3D finite element inversions of coseismic displacements using space geodetic data
<p>The .csv files included in this repository contain the data used in the numerical model as input, while the .txt file is the output (slip on a regular grid of points on the fault planes from the joint inversion of the geodetic datasets.</p>
code and data for A new method applied for the determination of relative weight ratios under the TensorFlow platform when estimating coseismic slip distribution
<p>The zip file contains three folders:"Data for Illapel earthquake", "HVCE and ABIC method implement on matlab" and "GDED method implement on tensorflow". Take the simulation experiments 1.2 and actual Illapel earthquakes as examples. the code for GDED method are placed on "GDED method implement on tensorflow" folders, and the code for the ABIC method and the HVCE method are place on "HVCE and ABIC method implement on matlab" folders.</p> <p>In the file"HVCE and ABIC method implement on matlab", the meaning of each code are represent as following</p> <p><br> ABIC_SIM.m:the slip distribution inversion results with the relative weight ratios determined by ABIC method Of simulation experiments and Illapel earthquakes</p> <p><br> HVCE.m:the slip distribution inversion results with the relative weight ratios determined by HVCE method Of simulation experiments and Illapel earthquakes</p> <p><br> GDED.m:the slip distribution inversion results with the relative weight ratios determined by GDED method Of simulation experiments and Illapel earthquakes(the relative weight ratios are from the "GDED method implement on tensorflow")</p> <p>savedata.m: that code are used for save matrix or data for the GDED method implement on tensorflow</p> <p>In the file"GDED method implement on tensorflow", the meaning of each code are represent as following<br> joint_inver_tensor_ex_1.0(1.1).py: the code for determining the relative weight ratios by the GDED method with(without) plot figures, which implement on Tensorflow platform<br> <br> the InSAR data and GPS data of Illapel earthquakes are palce on the folder" Data for Illapel earthquake/GPS_ori.txt and InSAR_ori.txt"</p>
Characterizing the spatial correlation of coseismic slip distributions: A data driven Bayesian approach
<p>Slip models for the simulated case and the Illapel earthquake are provided. The zip file contains processed data, predictions, and uncertainty estimates for the Illapel event.</p>
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