The MS6.5 Ludian earthquake occurred on 3 August 2014 in Yunnan, China. The epicenter of this earthquake is located in the Dalingshan sub-block, a boundary region among the Bayan Har block, the Sichuan-Yunnan block and the South China block, which is dominated by the left-lateral and thrust-slip faults. The studies on the characteristics of the crustal deformation, the mechanism of strong earthquakes and stress changes after the MS6.5 Ludian earthquake in the Daliangshan sub-block will help us understand the tectonic implication of the earthquake and facilitate further in-depth studies in the region. This article introduces the slip behavior around the Daliangshan sub-block and strong earthquake distribution on the faults. Using the GPS data in the southeastern Tibetan Plateau, this study analyzes the motions of sub-blocks bordering the Daliangshan sub-block and the slip behavior of the boundary faults in the block model, and estimates the crustal motion in the Daliangshan sub-block after removing the whole block motion of the sub-block. It can be shown clearly that the Daliangshan sub-block has absorbed the compression via the Xianshuihe Fault, the Anninghe Fault and the Longmenshan Fault. Due to the compression from the boundary faults, the crustal motion in the sub-block is mainly characterized by the north-northwest trending left-lateral strike-slip faults. The boundary faults of the Daliangshan sub-block are mainly characterized by strong earthquakes with magnitude larger than M7 in the history. But in the interior of the Daliangshan sub-block, there are mainly the moderate earthquakes. The MS6.5 Ludian earthquake ruptured the Baogunao-Xiaohe Fault, a left-lateral strike-slip fault associated with the main thrust Ludian-Zhaotong Fault and the Lianfeng Fault, where the whole thrust slip rate of the two faults is about 2.4mm/a. Around the epicenter of the Ludian earthquake, there are strong earthquakes larger than M7 recorded in the nearby region, which might have impact on the occurrence of the Ludian earthquake. Also, the Ludian earthquake may further affect the occurrence of subsequent earthquakes. In this paper, we have calculated the static Coulomb failure stress changes (ΔCFS) on the fault plane of the Ludian earthquake induced by the 3 nearby big earthquakes, including the M7 1/2 earthquake in 1850 on the Zemuhe Fault and the M7 3/4 earthquake in 1733 on the Xiaojiang Fault. The MS6.5 Ludian earthquake ruptured the north-northwest trending Baogunao-Xiaohe Fault, which is associated with the main thrust fault system of the Zhaotong-Ludian Fault and Lianfeng Fault. In our results, the Ludian earthquake was promoted by the M7 3/4 in 1733 on the Xiaojiang Fault and the M7 1/2 in 1850 on the Zemuhe Fault earthquakes. From the Coulomb failure stress change calculation, the ΔCFS value is about 0.03MPa, which may advance the occurrence of the MS6.5 Ludian earthquake obviously. The calculations also showed opposite results of ΔCFS from the Ludian earthquake on the Yongshan MS5.0 earthquake of 17 August and on the Yuexi MS5.0 earthquake of 1 October in 2014. The former one is not much related to Ludian earthquake, but to the normal seismicity in the reservoir area as to the minus value of ΔCFS, while the Yuexi MS5.0 earthquake was promoted by the MS6.5 Ludian earthquake. Moreover, the MS6.5 Ludian earthquake has advanced, to a certain extent, the enhancement of Coulomb failure stress on the northern segment of the Daliangshan Fault, Ebian Fault, eastern segment of the Zhaotong-Ludian Fault and the southern segment of the Zemuhe Fault, and has enhanced the earthquake energy accumulation of these faults.
Airborne LiDAR (Light Detection And Ranging) provides a more advanced technique and more accurate basic data to describe geomorphological features and the latest surface deformation associated with active tectonics. How to apply this new technique and dataset to mapping of active fault and seismic hazard assessment is an important trend in the field of active tectonics. Taking the Dushanzi anticline-reverse fault zone in Xinjiang as test area, we made an experimental study on geologic mapping of active tectonics based on the LiDAR data. Firstly, we collected raw data using the airborne LiDAR technique, and obtained a raw point-cloud with a point density of 6.6 points/m2 and an average space of 0.39m between any two points. Secondly, using twelve ground control points(GCP)which is acquired by static GPS measurement with accuracy up to millimeter, we evaluated the vertical error of the ground point-cloud data with density of 6.4 points/m2, and the result shows a vertical error of 0.12m, mean square value 0.078m. Finally, using the inverse distance weighting algorithm, we obtained the digital elevation model(DEM)of 0.5m-resolution. The resolution of the DEM is high enough to describe and analyze spatially the fine feature of tectonic landform of the Dushanzi anticline-reverse fault zone. In this paper, we identify the fine tectonic landforms using merely the DEM visualization tools based on different virtual perspectives, different shades or different treatment methods. The active tectonics and their distribution identified based on the high resolution DEM derived from LiDAR are not only consistent with previous results identified from air-interpretation and field investigation, but also finer and more precise than the latter. In addition, these methods of data acquisition, quality inspection and data processing introduced in this paper are also applied to other active fault researches in which LiDAR data have been acquired.
The Tohoku-Oki MW9.0 earthquake of 11 March, 2011 has caused eastward movement and subsidence of the Japanese Islands as well as mass redistribution. The temporal-spatial features of mass redistribution were discussed by using the monthly GRACE time-variable gravity field, which would compensate the inefficiency for the undersea focal region where GPS, InSAR measurements are not available. The coseismic gravity changes were computed through least-square fitting and empirical orthogonal function(EOF) from the time series on 0.5°×0.5° grids, and through dislocation model as well. A dipole distribution of the coseismic changes appears in back-arc region and trench with maximum decrement and increment of~6μgal and~3μgal, respectively. The results suggest that EOF method avoids a priori knowledge, such as event time, as used in least squares fitting. Nevertheless, the gravity signal derived from GRACE satellites is an integral of many different geophysical processes, thus the reliability and exact physical sources are likely varying due to the event scale and observation time span, etc. In this study, most of seasonal changes are eliminated through PCs 2, 3, 4; and the coseismic gravity changes extracted from the first principle component of EOF, whose distribution is spatially coherent, are much closer to the result from dislocation model than the least square result, therefore can really reflect the changes resulting from the earthquake.
The April 20,2013,MS 7.0 Lushan earthquake occurred along the southwestern part of the Longmen Shan Fault zone. Tectonics around the epicenter area is complicated and several NE-trending faults are developed. Focal mechanisms of the main shock and inversions from finite fault model suggest that the earthquake occurred on a northeast-trending,moderately dipping reverse fault,which is consistent with the strike and slip of the Longmen Shan Fault zone. NE-trending ground fissures and soil liquefaction along the fissures,heavy landslides along the Dachuan-Shuangshi and Xinkaidian Faults were observed during the field investigations. No surface ruptures were found in the field work. GPS data indicate that the fault on which this earthquake occurred is a fault east of or near the Lushan county and the earthquake also triggered slip on the fault west of the Lushan county. Field observations,GPS data,focal fault plane,focal depth,and distribution of the aftershocks suggest, that the seismogenic structure associated with the MS 7.0 Lushan earthquake is the décollement beneath the folds of the eastern Longmen Shan. Slip along this decollement generated the earthquake,and also triggered the slip along the Dachuan-Shuangshi and Xinkaidian Faults.