China Earthquake Networks Center

Beijing, China

China Earthquake Networks Center

Beijing, China
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Zhang Y.,Peking University | Xu L.-S.,China Earthquake Administration | Chen Y.-T.,Peking University | Chen Y.-T.,China Earthquake Administration | Liu R.-F.,China Earthquake Networks Center
Chinese Journal of Geophysics (Acta Geophysica Sinica) | Year: 2014

The 3 August 2014 Ludian earthquake (MW6.1, MS6.5) is a disastrous strike-slip but not a large-scale event. Influenced by the radiation pattern, the signal-to-noise ratios of teleseismic data are low at certain azimuths, causing some difficulties in distinguishing the causative fault. This paper reviews the fast rupture process inversion of the Ludian earthquake for rapid earthquake emergency response, which was completed 2.4 hours after the earthquake occurrence, and introduces the following revision works. From the revised rupture models, results of two nodal planes of double couple both indicate rupture propagations toward the ground surface and strike directions. Based on the consistencies between rupture area and intensities and aftershock distributions, it can be concluded that the Ludian earthquake was a left lateral strike-slip event ruptured on a nearly vertical fault with strike 162° and dip 86°. From the source time function determined in rupture process inversion, a large part of the seismic moment was released between 2 s and 5 s after the rupture initiation. The intensive moment release history may be associated with the relatively high surface wave magnitude and the serious disaster of this earthquake.


Wang L.,University of Potsdam | Wang L.,China Earthquake Networks Center | Hainzl S.,German Research Center for Geosciences | Zoller G.,University of Potsdam | Holschneider M.,University of Potsdam
Journal of Geophysical Research: Solid Earth | Year: 2012

[1] Both aftershocks and geodetically measured postseismic displacements are important markers of the stress relaxation process following large earthquakes. Postseismic displacements can be related to creep-like relaxation in the vicinity of the coseismic rupture by means of inversion methods. However, the results of slip inversions are typically non-unique and subject to large uncertainties. Therefore, we explore the possibility to improve inversions by mechanical constraints. In particular, we take into account the physical understanding that postseismic deformation is stress-driven, and occurs in the coseismically stressed zone. We do joint inversions for coseismic and postseismic slip in a Bayesian framework in the case of the 2004 M6.0 Parkfield earthquake. We perform a number of inversions with different constraints, and calculate their statistical significance. According to information criteria, the best result is preferably related to a physically reasonable model constrained by the stress-condition (namely postseismic creep is driven by coseismic stress) and the condition that coseismic slip and large aftershocks are disjunct. This model explains 97% of the coseismic displacements and 91% of the postseismic displacements during day 1-5 following the Parkfield event, respectively. It indicates that the major postseismic deformation can be generally explained by a stress relaxation process for the Parkfield case. This result also indicates that the data to constrain the coseismic slip model could be enriched postseismically. For the 2004 Parkfield event, we additionally observe asymmetric relaxation process at the two sides of the fault, which can be explained by material contrast ratio across the fault of ∼ 1.15 in seismic velocity. © 2012. American Geophysical Union.


Xu J.,China Earthquake Administration | Xu J.,Lamont Doherty Earth Observatory | Pan B.,China Earthquake Administration | Liu T.,Institute of Geology | And 6 more authors.
Geophysical Research Letters | Year: 2013

Changbaishan volcano in northeast China, previously dated to have erupted around the mid-10th century A.D., is renowned for producing one of the largest eruptions in history (magnitude 6.8) and thus speculated to have substantial climatic impact. Here we report a new high-precision 14C wiggle-match age of A.D. 946±3 obtained from a 264 year old tree trunk (with bark) killed during the eruption, using the OxCal's Bayesian modeling approach with 27 sequentially sampled annual rings of decadal intervals. The new chronology conforms well to the calendar date of A.D. 946 for the eruption inferred from historical documentary evidence. We find no stratospherically loaded sulfate spike that might be associated with the A.D. 946 eruption in the global volcanism record from the GISP2 ice core, suggesting the stratospheric sulfate aerosols produced during the eruption were not transported to the arctic region, due probably to its relatively low stratospheric sulfur emission and the seasonal effects of the atmospheric circulation at the time of the eruption that likely occurred in the winter of A.D. 946-947. Since the stratospheric volcanic sulfates are the main cause of large-scale climate perturbations, this finding indicates that the Millennium eruption of Changbaishan volcano might have limited regional climatic effects, rather than global or hemispheric impact as implied by its magnitude. © 2013. American Geophysical Union. All Rights Reserved.


Xu C.,China Earthquake Administration | Xu X.,China Earthquake Administration | Yao Q.,China Earthquake Networks Center | Wang Y.,Northeast Normal University
Quarterly Journal of Engineering Geology and Hydrogeology | Year: 2013

The main purpose of this research is to evaluate the modelling capability and predictive power of a bivariate statistical method for earthquake-triggered landslide susceptibility mapping. A weight index (Wi) model was developed for the 2008 Wenchuan earthquake region in Sichuan Province, China, using a wide range of optical remote sensing data, and carried out on the basis of a geographic information system (GIS) platform. The 2008 Wenchuan earthquake triggered 196007 landslides, with a total area of 1150.43 km2, in an approximately oblong area around the Yingxiu-Beichuan coseismic surface fault-rupture (the Yingxiu-Beichuan fault). The landslides of the study area were mapped using visual interpretation of high-resolution satellite images and aerial photographs, both pre- and post-earth-quake, and checked in the field at various locations. As a consequence, a nearly complete inventory of landslides triggered by the Wenchuan earthquake was constructed. Topographic and geological data and earthquake-related information were collected, processed and constructed into a spatial database using GIS and image processing technologies. A total of 10 controlling parameters associated with the earthquake-triggered landslides were selected, including elevation, slope angle, slope aspect, slope curvature, slope position, lithology, seismic intensity, peak ground acceleration (PGA), distance from the Yingxiu-Beichuan fault, and distance along this fault. To assist with the development of the model, the complete dataset of 196007 landslides was randomly partitioned into two subsets; a training data-set, which contains 70% of the data (137204 landslides, with a total area of 809.96 km2), and a testing dataset accounting for 30% of the data (58803 landslides, with a total area of 340.47 km2). A landslide susceptibility index map was generated using the training dataset, the 10 impact factors, and the Wi model. In addition, for a conditionally dependent factor analysis, seven other factor-combination cases were also used to construct landslide susceptibility index maps. Finally, these eight landslide suscep-tibility maps were compared with the training data and testing data to obtain model capability (success rate) and predictive power (predictive rate) information. The validation results show that the success and predictive rates of the Wi modelling exceeded 90% for the approaches that include the use of seismic factors. The final landslide susceptibility map can be used to identify and delineate unstable suscepti-bility-prone areas, and help planners to choose favourable locations for development schemes, such as infrastructure, construction and environmental protection schemes. The generic component of this research would allow application in other regions affected by high-intensity earthquakes and unstable terrain covering very large areas. © 2013 The Geological Society of London.


Liu J.,China Earthquake Networks Center | Yi G.-X.,China Earthquake Administration | Zhang Z.-W.,China Earthquake Administration | Guan Z.-J.,China Earthquake Administration | And 3 more authors.
Chinese Journal of Geophysics (Acta Geophysica Sinica) | Year: 2013

The Lushan, Sichuan M7.0 earthquake on 20 April 2013 occurred on the southern segment of the Longmen Shan fault zone. Its focal mechanism is reverse faulting. Over 3000 aftershocks in 3 days after the mainshock have been recorded, of which 4 events are M5 and the maximal aftershock is the M5.4 shock at 17:05 on 21 April, 2013 on the Lushan-Qionglai border. The long axis is about 45 km and the short axis about 20 km of the aftershock area. Both the Lushan M7.0 earthquake and Wenchuan M8.0 earthquake on 12 May, 2008 took place on the Longmen Shan fault zone, and the Wenchuan event occurred on the central-northern segments. There is about 45 km-long interval between the two aftershock areas. The Lushan M7.0 earthquake is not an aftershock of the 2008 Wenchuan M8.0 earthquake, though there is a close relationship between the two events.


Li Y.,China Earthquake Administration | Li W.,China Earthquake Networks Center | Wu G.,China Earthquake Administration
International Journal of Advancements in Computing Technology | Year: 2012

In this paper, we present an intrusion detection method based on multiple kernel support vector machine. This method can calculate the weights of kernel functions and Lagrange multipliers simultaneously through semi-infinite linear programming, improve detection accuracy by using the RBF kernel function with different kernel parameter values and avoid the kernel parameter settings in advance. We also study sparse and non-sparse kernel mixtures by allowing for l1-norm constraint and l2-norm constraint. The experimental results show that MK-SVM method has better detection accuracy than SK-SVM method, l2-MK- SVM method is superior to l1-MK-SVM method.


Zhang G.-W.,Chinese Institute of Crustal Dynamics | Lei J.-S.,Chinese Institute of Crustal Dynamics | Liang S.-S.,China Earthquake Networks Center | Sun C.-Q.,Chinese Institute of Crustal Dynamics
Chinese Journal of Geophysics (Acta Geophysica Sinica) | Year: 2014

Using the double-difference algorithm, we relocated the Ludian MS6.5 mainshock and its 647 aftershocks during 3 to 7 August 2014 and finally obtained 471 relocated earthquakes. Our results show that the focal depth of main shock is 13.3 km, which is close to the initial rupture depth of the main shock. The aftershock sequence presents an asymmetric conjugate shape with lengths of 17 km in the EW direction and of 22 km in the NW direction. Small earthquakes are predominately located above 10 km depth, and extend toward the shallow parts above 10 km depth along the southeast and eastwest directions of conjugate faults from the main shock. In addition, distribution of small earthquakes also shows that the seismogenic fault has a high dip and is the NW Baogunao-Xiaohe fault that is one branch of the Zhaotong-Ludian fault. Because the mainshock centroid depth can provide important evidence for understanding the serious disaster caused by the mainshock, we determined 5 focal mechanism solutions (MS≥4.0) including the main shock using the gCAP(generalized Cut And Paste) method. Our results show that the centroid depth of the main shock is only 5 km, which is consistent with the 2~8 km depth of larger slip in the obtained rupturing process. The conjugate rupture and shallower centroid depth of main shock could be the important causes for the serious disaster of this earthquake.


Zhang L.-K.,China Earthquake Networks Center | Niu A.-F.,China Earthquake Networks Center
Chinese Journal of Geophysics (Acta Geophysica Sinica) | Year: 2013

Based on the double bushing borehole strain observation mechanical model, we deduced the calculation formulae of two coupling coefficients(A, B)of each strain component under plane stress. This provides a basis for further determining the value and direction of maximum and minimum principal strain of the crustal strain field, and has a positive meaning for carrying out borehole strain observation of earthquakes, volcanoes and plate boundaries. Using a two-ring model and the complex variable function method to calculate the c (area strain response coefficient) and d (shear strain response factor), A and c, B and d have a relationship as c=2A, d=2B. And the variation curves are identical. Their physical meanings are respectively the crust rock area strain and shear strain observation borehole coupling coefficient.


Ma Y.-C.,China Earthquake Networks Center
Earthquake | Year: 2014

This paper studied the water temperature changes caused by the Earth tide, based on 356 water temperature monitoring wells from the Groundwater Monitoring Network of China. First, 35 wells were selected since they had tidal responses from water temperature data. Then, harmonic analysis was performed to the water temperature data to derive Earth tide constituents (M2, S2, K2, O1, P1, S1, K1), using the Baytap-G software. The result showed that the amplitudes were 0.00017~0.01825°C, the phase lags were -149.98°~61.47°, the amplitude ratios were 0.01~10°C/10-6m · s-2, for the M2 Earth tide constituent which was low contaminated. The tidal variations of water temperature were result from tidal variations of water level, since all the water levels that showed tidal variations and the amplitudes of water temperature in different depths of one well had similar order. Besides, the tidal variations of water temperature were influenced by the sun-radiation heat, water flow from the aquifer and geothermal gradient. The tidal variations of water temperature near the aquifer had greater amplitudes. The amplitudes of tidal variations of water temperature were proportional to the geothermal gradients. The tidal variations of water temperature could be more easily recorded in artesian wells than non-artesian wells, as the sun-radiation heat was an interference of tidal variations of water temperature and it had less influence on the changes of water temperature in artesian wells than non-artesian wells. The tidal variations of water temperature could be more easily recorded in the eastern China than the west, since the influence depths of sun-radiation heat in the gorge and mountain areas were deeper than plains.


Meng L.-Y.,China Earthquake Networks Center | Zhou L.-Q.,China Earthquake Networks Center | Liu J.,China Earthquake Networks Center
Chinese Journal of Geophysics (Acta Geophysica Sinica) | Year: 2014

The April 20, 2013 MS7.0 earthquake in Lushan city, Sichuan province of China occurred as the result of east-west oriented reverse-type motion on a north-south striking fault. The source location suggests the event occurred on the Southern part of Longmenshan fault at a depth of 13 km. The Lushan earthquake resulted in a great loss of property and caused 196 deaths, and the Lushan city, nearby the epicenter was most seriously damaged. Considering the effect of slip distribution on the fault plane to near-fault strong ground motion, one finite fault source model was constructed based the comprehensive influence of three rupture processes and slip distributions of fault, respectively. We calculate the strong ground motion, including acceleration and velocity, near causative fault using the finite fault source model. Based on the simulated results of the near-fault strong ground motion, we described the intensity distribution of the Lushan earthquake field. The simulated intensity indicated that the maximum intensity value is IX, and the region of intensity VII and above is almost 16000 km2, which is consistent with observation intensity published online by China earthquake administration on April 25.In fact, the numerical modeling developed in this study has great application in the strong ground motion prediction and intensity estimation for the earthquake rescue purpose.

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