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
This data set consists of multi-scale and high-resolution seismic wave velocity, attenuation, anisotropy, interface and stress field model of the crust, lithosphere and upper mantle beneath the Sichuan-Yunnan area. The velocity and attenuation models are mainly obtained by applying waveform adjoint tomography, double difference tomography and ambient noise tomography methods. The anisotropic models are mainly obtained by applying shear wave splitting, receiver functions and ambient noise methods. The interface structure is mainly obtained by receiver functions. The stress field model is mainly restrained by GPS velocity field and focal mechanism. Some of the used seismic waveform are from published data, and some are obtained from deployed seismic stations. The model data set can be used for further study on valuable scientific issues such as the mechanism of the occurrence of large earthquakes and the tectonic evolution of the lithosphere beneath the Chuandian Block, and the dynamic mechanism of the eastward extrusion of the Tibetan Plateau.
PEI Shunping
Through the joint inversion of seismic waveforms and InSAR coseismic displacement data, our study revealed the spatiotemporal and spatial source rupture processprocesses of the two strong earthquakes that occurred in struck the eastern Tibetan Plateau atin May 2021. The results show that the Yangbi earthquake, which occurred in along the southeastern margin of the TibetTibetan Plateau, was a Mw6.1 event with characterized by unilateral right-dextral strike-slip rupture and 8s an 8 s duration. The In addition, the Maduo earthquake, which occurred in the interior of the Tibetan Plateau, was a Mw7.5 event with characterized by left-sinistral lateral-strike- slip extendedextending along both sides of the earthquake seismogenic fault and 36sa 36 s duration. The rupture properties of these two strong earthquakes reflect the deformation characteristics of different parts of the eastern Tibetan Plateau,. and also These events also caused the increase of the Coulomb stress of the surrounding active faults to increase, so we should pay attention to the risk potential of future earthquakes should be evaluated.
WANG Weimin
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 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 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 three-dimensional lithospheric S-wave Q-value model data in the surrounding areas of Sichuan and Yunnan obtained by using the full waveform based adjoint attenuation imaging method. First, apply to the data backup center of the national seismological network for obtaining the seismic waveform data. Using the collected seismic waveform data, intercept the S-wave seismic phase data with high signal-to-noise ratio according to the seismic events, and extract the S-wave amplitude information after de averaging, de trending, waveform pinching and filtering. Finally, the S-wave amplitude data are inverted by using the waveform accompanying attenuation imaging method to obtain the three-dimensional S-wave attenuation model in Sichuan and Yunnan. The model data set can be used to further study important scientific issues such as the tectonic evolution of the lithosphere in Sichuan Yunnan region and the extension of the Qinghai Tibet Plateau.
YANG Dinghui
Seismic observations can be used to constrain the seismic velocity structures and deformation patterns of the crust and upper mantle. The southeastern Iranian plateau is the transitional zone from subduction to collision. The study of this region can provide an important basis for understanding the dynamic progresses of the plate convergence and associated tectonic responses. The data comes from the portable seismic array deployed by this research group. The site selection requirements are strict. All stations are equipped with Trillium 120PA seismometer (120 s-175 Hz) and Taurus digital collector. This data set is the waveform data from the first 100 s to the last 200 s of the direct P wave. Event magnitudes are greater than or equal to 5.0, and epicenter distances range from 30° to 90°. The data can be used to decipher the deep dynamic processes of the subduction-collision transition zone.
CHEN Ling
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 researchers of the research group carried out field investigation on the typical "wide and gentle" gully debris flow gully - Wenchuan Qipan gully and "narrow and steep" gully debris flow gully - Beichuan Qinglin gully branch. Through the field particle screening test of typical channel deposits in qipangou, and the qualitative and quantitative description of channel shape and typical channel section, it is found that the wide and gentle channel material source has the characteristics of "wide gradation, weak consolidation and easy stratification"; In addition, the debris flow accumulation samples of Qinglin gully branch gully are selected for on-site particle screening test, and the clay content, porosity and shear strength of the test soil samples are determined.
ZHANG Youyi
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 data set is the three-dimensional upper mantle S-wave Q 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 S-wave seismic phase data with high signal-to-noise ratio according to the seismic events, and extract the S-wave amplitude information after removing the mean and trend and filtering. Finally, the S-wave amplitude data are used to obtain the three-dimensional S-wave attenuation 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 tectonic evolution of the lithosphere in Sichuan-Yunnan region and the eastward extrusion of the Tibetan Plateau.
YANG Dinghui
The data was collected in Qiangtang (2020.11-2020.12) and Altyn-Tagh (2021.11-2022.01). Four natural seismicity, six near-earthquakes and two teleseisms were recorded by 361 short-period seismometers from Nov. 2020 to Dec. 2020. And 315 short-period seismometers recorded five near-earthquakes and two teleseisms (including the mangya earthquake with m5.3 in Qinghai province on December 19, 2021) from November 11, 2021 to November 1, 2022. After data preprocessing (de-mean, de-linear trend and taper), we cut the events recorded by the seismometer with a fixed width of 1500s from the time of earthquake occurrence for each seismic event(i.e., the time range of each seismic event data is [begin, begin +1500s]). For the active source signals recorded, since the node instrument records continuous signals for a month, the signals recorded by each instrument are intercepted according to the initiation time and location, and the seismic records for 200s are intercepted from the initiation time. After time correction, data of each shot were de-mean, de-linear trend and taper.
LI Lun
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
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
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 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
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
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