The data set is the original repeated GPS observation data along Paizhen - Motuo active deformation Himalayan orogenic belt in Southeast Tibetan Plateau. The data are measured in 2021, including the data of 18 stations, and the data quality is good. Through the observation data of these observation points, we can reveal the horizontal and vertical distribution characteristics of the northward converging strain of the Indian continent in the key parts of the Himalayan orogenic belt. And we can understand the current uplift state of the Himalayan orogenic belt and its correlation with horizontal movement, and combine with the active faults. Based on the theory of motion dislocation, the quantitative distribution of strain between earthquakes could be studied, as well as the strain accumulation characteristics, fault locking range and fault locking level between earthquakes, which provide important constraints for evaluating the seismic risk of active faults in the study area.
HE Jiankun
We compiled the Seismotectonic Map and Seismic Hazard Zonation Map of South Asia using the ArcGIS platform through data collecting and digitization. The seismotectonic map of South Asia covers India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The seismotectonic map is replenished with tremendous amount published data and depicts the location, character and name of the seismogenic faults or active faults and the epicenter of earthquakes with M ≥ 5 from 1960 to 2021. The zonation map shows the mean values of peak ground acceleration (PGA) with 10% probability of being exceeded in 50 years. The two maps can not only be used in the research of active faults and seismic risks in South Asia, but also will be applied to the seismic safety evaluation for infrastructure construction.
CHENG Li
The Tibetan Plateau region has strong seismic activity, which is driven by the subduction collision between the Indian plate and the Eurasian plate and the internal deformation of the plateau. A total of 5030 earthquakes of magnitude M≥5.0 have occurred on the Tibetan Plateau and surrounding areas (20-40°N, 70-105°E) . Historical records since the present ( December 2021), including 20 earthquakes of magnitude M≥8, 154 earthquakes of magnitude M=7.0-7.9, 913 earthquakes of magnitude M=6.0-6.9, and 3943 earthquakes of magnitude M=5.0-5.9. The earthquakes occurred mainly along the large faults zones around and within the Tibetan Plateau.
WANG Ji
The passive seismic data was collected from 20 portable broadband stations deployed in the intersection of the Pamir, the Tarim basin and the Tianshan orogenic belt between October 2019 and July 2020. The waveforms were cut 50 s prior to and 150 s after the P wave arrival. Seismic events were chosen with magnitudes greater than or equal to 6.0 and epicentral distance range of 30-95°. The data can be used in seismic tomography，shear wave splitting and receiver function technique to obtain the high-resolution crustal and upper mantle velocity structure, the depths of typical discontinuities and the anisotropic characteristics, provide vital constraints on elucidating the intracontinental deformation mechanism in response to India-Asia collision.
XU Qiang
The data set is a three-dimensional lithospheric stress field model in the Sichuan-Yunnan region, which is constrained by GPS velocity field and focal mechanism solution. A 3D finite element model of regional lithospheric deformation is constructed by using the lithospheric structure fracture information in Sichuan-Yunnan region. The velocity boundary constraints of the model are given by integrating the regional GPS velocity published in the existing researches and the latest observation. At the same time, the stress field of the model is constrained by the focal mechanism solution of regional small and medium earthquakes and mantle convection. A comprehensive simulation model of current crustal deformation and stress field in Sichuan-Yunnan region is constructed. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
XIONG Xiong
The data set is the S-wave radial anisotropic model in Sichuan-Yunnan region obtained by applying ambient noise tomography. First, the seismic waveform data is applied from National Earthquake Data Center and IRIS, and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept waveform per each day and remove the mean and trend and filter the waveform. We invert the S-wave radial anisotropic model in Sichuan-Yunnan region by applying the ambient noise tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
GAO Yuan
The data set is the three-dimensional S-wave velocity and azimuthal anisotropic model in Sanjiang region obtained by applying ambient noise tomography. First, the seismic waveform data is applied from National Earthquake Data Center and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept waveform per each day and remove the mean and trend and filter the waveform. We invert the three-dimensional S-wave velocity and azimuthal anisotropic model in Sanjiang region by applying the ambient noise tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
GAO Yuan
The data set is the three-dimensional S-wave velocity and azimuthal anisotropic model in Sichuan-Yunnan region obtained by applying ambient noise tomography. First, the seismic waveform data is applied from National Earthquake Data Center and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept waveform per each day and remove the mean and trend and filter the waveform. We invert the three-dimensional S-wave velocity and azimuthal anisotropic model in Sichuan-Yunnan region by applying the ambient noise tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
GAO Yuan
The data set is the uppermost mantle Pn anisotropic model in Sichuan-Yunnan region obtained by applying Pn-wave tomography. First, the seismic waveform data is applied from National Earthquake Data Center and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept Pn waveform as seismic events and remove the mean and trend and filter the waveform. We invert the uppermost mantle Pn anisotropic model in Sichuan-Yunnan region by applying the Pn-wave tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
GAO Yuan
The data set is the lithospheric anisotropic model in Sichuan-Yunnan region obtained by applying XKS splitting method. First, the seismic waveform data is applied from National Earthquake Data Center and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept XKS waveform as seismic events and remove the mean and trend and filter the waveform. We invert the lithospheric anisotropic model in Sichuan-Yunnan region by applying the XKS splitting method. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
GAO Yuan
The data set is the crustal anisotropic model in Sichuan-Yunnan region obtained by applying Pms receiver functions method. First, the seismic waveform data is applied from National Earthquake Data Center and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept waveform as seismic events and remove the mean and trend and filter the waveform. We invert the crustal anisotropic model in Sichuan-Yunnan region by applying the Pms receiver functions method. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
GAO Yuan
The data set is the upper crustal anisotropic model in Sichuan-Yunnan region obtained by applying S-wave splitting method. First, the seismic waveform data is applied from National Earthquake Data Center and collected from deployed seismic stations. Using the collected seismic waveform data, we intercept waveform as seismic events and remove the mean and trend and filter the waveform. We invert the upper crustal anisotropic model in Sichuan-Yunnan region by applying the S-wave splitting method. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
GAO Yuan
The data set is the three dimensional P-wave velocity model beneath the Xianshuihe region by double-difference tomography. First, the seismic waveform data is collected from seismic stations deployed in the Xianshuihe region. Using the collected seismic waveform data, we intercept waveform as seismic events. After removing the mean and trend and filtering, we invert the P-wave velocity model in Xianshuihe region by using double-difference tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
NIU Fenglin
This data set is the information of a linear seismic array in Daliangshan area in Western Sichuan. The observation time is from december2018 to October 2020. The array is near the NE-SW trend. This array reaches the Sichuan basin to Yibin area to the east, and reaches the Yanyuan basin in Daliangshan area to the west. Each station uses Trillium posthole/horizon 120 broadband seismometer and Centaur data collector. A total of 40 seismic stations are deployed, with an average station spacing of only 10km. This array is used to collect and record high-quality seismic waveforms. Instrument maintenance and data acquisition are carried out every three months.
AI Yinshuang
The data set is the dispersion curves results of seismic stations in Sichuan-Yunnan region obtained by using ambient noise and teleseismic surface waveforms. First, the seismic waveform data is collected from seismic stations deployed in the Sichuan-Yunnan region. Using the collected seismic waveform data, we intercept waveform of each day from each station. After removing the mean and trend and filtering, we invert the dispersion curves of seismic stations in Sichuan-Yunnan region by using the ambient noise and teleseismic surface waveforms based on time-frequency analysis. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
AI Yinshuang
The data set is the subsurface interface model in Sichuan-Yunnan region obtained by applying the ambient noise, teleseismic surface wave and body wave joint inversion. First, the seismic waveform data is applied from National Earthquake Data Center. Using the collected seismic waveform data, we remove the mean and trend and filter the waveform. We invert the subsurface interface model in Sichuan-Yunnan region by applying the ambient noise, teleseismic surface wave and body wave joint inversion. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
AI Yinshuang
The data set is the three-dimensional S-wave velocity model in Sichuan-Yunnan region obtained by applying the ambient noise tomography. First, the seismic waveform data is applied from National Earthquake Data Center. Using the collected seismic waveform data, we intercept waveform of each day from each station. After removing the mean and trend and filtering, we invert the three-dimensional S-wave attenuation model in Sichuan-Yunnan region by applying the ambient noise tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the large earthquakes preparation, tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
AI Yinshuang
The data set is the three-dimensional upper mantle velocity model in Sichuan-Yunnan region obtained by applying the full-waveform adjoint tomography. First, the seismic waveform data is applied from National Earthquake Data Center. Using the collected seismic waveform data, we intercept the seismic phase data with high signal-to-noise ratio according to the seismic events. After removing the mean and trend and filtering, the data are used to obtain the three-dimensional upper mantle velocity model in Sichuan-Yunnan region by applying the waveform adjoint tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the preparation of large earthquakes and tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
YANG Dinghui
The data set is the three-dimensional lithospheric velocity model in Sichuan-Yunnan region obtained by applying the full-waveform adjoint tomography. First, the seismic waveform data is applied from National Earthquake Data Center. Using the collected seismic waveform data, we intercept the seismic phase data with high signal-to-noise ratio according to the seismic events. After removing the mean and trend and filtering, the data are used to obtain the three-dimensional lithospheric velocity model in Sichuan-Yunnan region by applying the waveform adjoint tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the preparation of large earthquakes and tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
YANG Dinghui
The data set is the three-dimensional crustal velocity model in Sichuan-Yunnan region obtained by applying the full-waveform adjoint tomography. First, the seismic waveform data is applied from National Earthquake Data Center. Using the collected seismic waveform data, we intercept the seismic phase data with high signal-to-noise ratio according to the seismic events, and extract the amplitude information after removing the mean and trend and filtering. Finally, the amplitude data are used to obtain the three-dimensional crustal velocity model in Sichuan-Yunnan region by applying the waveform adjoint tomography. The model can be used for further study on valuable scientific issues such as the mechanism of the preparation of large earthquakes and tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
YANG Dinghui
