芦山地震的发生对周围断层影响的数值模拟

芦山地震发生后,地震的发生造成周围断层应力变化值得关注。本文基于川滇地区的三维非线性有限元模型,利用芦山地震同震静态滑移量结果,分析地震的发生对川滇地区主要断裂的同震加卸载效应。初步结果表明,芦山地震的发生造成龙门山断裂中南段、岷江断裂、马尔康断裂、鲜水河断裂北西段、大凉山断裂南段、小江断裂南段不同程度的应力增加。其中龙门山断裂中南段增加最为显著,最大库仑应力增加量达0.035 MPa;岷江断裂次之,最大达0.0075 MPa;马尔康断裂增加量达0.0031 MPa;鲜水河断裂北西段达0.0008 MPa。而从断裂带同震应变积累与释放方面分析的结果同样表明上述四条断裂地震危险性增强。该结果可以为川滇地区地震危险性分析提供一定的参考依据。     

青海玉树地区活动断裂与地震

青海玉树是巴颜喀拉地块西南边界上的典型历史强震区。最新的活动断裂遥感解译与地表调查结果表明,该区新构造期间主要发育清水河断裂带、玉树断裂带、阿布多断裂带和杂多断裂带4条NW向左旋走滑活动断裂带。其中,构成玉树—鲜水河—小江断裂系尾端构造的玉树活动断裂带是该区活动性最显著的岩石圈断裂。该断裂是由当江断裂、结古—结隆断裂和巴塘断裂3条斜接的主干断层和夹杂其间的多条次级断裂所共同构成的Z型左旋剪切张扭性变形带。它在上新世以来和晚第四纪期间的左旋走滑速率为4.0~5.4mm/a,调节了该区大部分的块体挤出与旋转变形,并构成该区大震活动的主要控震构造。历史强震梳理和古地震研究揭示,玉树主干走滑断裂带自约14530a BP以来至少发生了包括2010年地震在内的共11次大地震,原地重复间隔平均在千年以上,最长达近3000a。1738年玉树西北地震之后,玉树—甘孜断裂带的主干断层表现为平均间隔为50~100a的低频、串联式分段破裂过程,并且大震活动存在从东南向西北迁移的趋势。通过对玉树断裂未来大地震危险性进行综合地质判定认为,该区至少仍存在6段未来百年内大地震危险程度不同的地震空区,潜在的大地震震级为Mw6.6~7.3,其中危险性相对较高的段落主要是当江断裂带的当江—拉则段和结古—结隆断裂带上的结隆—叶卡诺段与桑卡—相古段。     

祁连山西段测震指标异常综合应用

通过对1980年以来至今14个指标的全时间扫描,并使用祁连山西段地区Ms5．0地震进行对应。结果表明,选取A值、AC值、A（b）值、b值、Mf值和地震活动度S值进行同步异常分析,能显著提高祁连山西段地区的有震报震率,但有漏报。对目前地区异常集中区进行时间扫描,结果显示,祁连山西段地区出现同步异常,认为2012年或稍长时期有发生Ms≥5．0中强震的可能。     

2010年4月14日青海玉树7.1 级地震前震中附近地区小震活动的周、月频次分布特征

根据Kolmogorov-Smirnov分布检验法,利用2000年以来1.7≤ML≤2.9地震目录,对2010年4月14日青海玉树MS7.1前震中附近地区2000年以来地震活动的月频次和2007年7月以来地震活动的周频次分布进行了检验。结果表明,地震活动周频次和月频次都不符合泊松分布和正态分布,但周、月频次累积次数的对数与周、月频次之间呈线性关系,类似于G-R关系。分析了周、月频次的标准差σ、CV值、偏度Sk、峰度Ku和bm值等参数随时间的变化,发现在2010年4月14日青海玉树地震前,这些参数都出现了不同程度的异常变化,其中周频次的分布参数随时间的变化似乎呈现出了某种周期性特征。     

DISTRIBUTION OF 3 EARTHQUAKE RUPTURE ZONES IN ESATERN TIENSHAN AND ITS RELATIONSHIP WITH 2 HISTORICAL EARTHQUAKES

The distribution of earthquake rupture zone plays a very important role in determining location of epicenter and magnitude of historical earthquake. There is still argument about the seismogenic structure of the 1842 M7 Balikun earthquake and the 1914 M7 1/2 Balikun earthquake in the historical records in eastern Tienshan. Through field geological survey, we confirm that there exist 3 rupture zones in Eastern Tienshan. These rupture zones, Tazibulake rupture zone on the Jian Quanzi-Luo Baoquan Fault, north of Shanshan, Xiong Kuer rupture zone on the south Balikun Basin Fault and Yanchi rupture zone on the south Yiwu Basin Fault, are closely related to 2 historical earthquakes. Based on historical literature and current geological evidence analysis, we infer that Xiong Kuer rupture zone was produced by 1842 M7 earthquake and Yanchi rupture zone by 1914 M7 1/2 earthquake, while Tazibukale rupture zone may represent another unrecorded historical event. South Balikun Basin Fault disturbs Quaternary stratigraphy which has a ¹⁴C age of 3110±30 B.P in the south of Balikun County, ~100km to the east of Xiong Kuer rupture zone, therefore we can't preclude the possibility that Xiong Kuer rupture zone extends to the south of Balikun County. This region overlaps with the meizoseismal area based on the literature document, together with the fact that the impact of 1842 earthquake is no less than 1914 earthquake, we believe that the magnitude of 1842 earthquake is no less than that of the 1914 earthquake.     

DEVELOPMENT OF EARTHQUAKE EMERGENCY DISASTER INFORMATION PRE-EVALUATION DATA BASED ON KM GRID

After an earthquake, earthquake emergency response and rescue is one of the effective ways to reduce casualties from the earthquake. Earthquake emergency disaster information is one of crucial factors to effectively guide the rescue work. However, there is a "black box effect" on the emergency disaster information acquisition after an earthquake, which means real-time earthquake disaster information is insufficient. Hazard estimates are usually used as a substitute for the real-time disaster information in the "black box" period. However, it is subject to the accuracy and speed of the estimation. The development of the km grid technology provides good prospect to solve this problem. The paper suggests to develop earthquake disaster information pre-estimation data with the support of the km grid technology. The definition and source of the pre-estimation data are introduced and its possibility in improving the estimation speed and accuracy are analyzed theoretically. Then, we elaborate the calculation model of the pre-estimation data. The framework of the model includes disaster-bearing body data, disaster-causing factors used in calculation and calculation formula. The disaster-bearing body data in km grid format are introduced, including population data in km grid format and building data in km grid format. Then the four elements of the earthquake(earthquake occurrence time, earthquake location, earthquake magnitude and focal depth)are selected as disaster-causing factors for calculation. Map algebra method is used to realize the calculation model in which calculation parameters are associated with base map in the km grid format. So the pre-estimation data are developed by python and ArcGIS, which includes building damage dataset(100 layers), death toll dataset(10 layers)and direct economic loss dataset(5 layers). Finally, the pre-estimation data based method for earthquake emergency disaster information estimation is presented. With the support of this method, two real earthquake cases are used to validate the effect of the pre-estimation data. The validation results show the pre-estimation data can not only significantly improve the speed of the estimation but also greatly improve the accuracy of the estimation. Another good result is found in the validation process that with the support of the pre-estimation data, the estimated result can display the spatial distribution of the disaster information, which will effectively aid earthquake emergency response and rescues.     

Markovian modeling of seismic damage accumulation

Analysis of civil structures at the scale of life‐cycle requires stochastic modeling of degradation. Phenomena causing structures to degrade are typically categorized as aging and point‐in‐time overloads. Earthquake effects are the members of the latter category this study deals with in the framework of performance‐based earthquake engineering (PBEE). The focus is structural seismic reliability, which requires modeling of the stochastic process describing damage progression, because of subsequent events, over time. The presented study explicitly addresses this issue via a Markov‐chain‐based approach, which is able to account for the change in seismic response of damaged structures (i.e. state‐dependent seismic fragility) as well as uncertainty in occurrence and intensity of earthquakes (i.e. seismic hazard). The state‐dependent vulnerability issue arises when the seismic hysteretic response is evolutionary and/or when the damage measure employed is such that the degradation increment probabilistically depends on the conditions of the structure at the time of the shock. The framework set up takes advantage also of the hypotheses of classical probabilistic seismic hazard analysis, allowing to separate the modeling of the process of occurrence of seismic shocks and the effect they produce on the structure. It is also discussed how the reliability assessment, which is in closed‐form, may be virtually extended to describe a generic age‐ and state‐dependent degradation process (e.g. including aging and/or when aftershock risk is of interest). Illustrative applications show the options to calibrate the model and its potential in the context of PBEE. Copyright © 2015 John Wiley & Sons, Ltd.     

Discussion of ‘Modelling viscous damping in nonlinear response history analysis of buildings for earthquake excitation’ by Anil K. Chopra and Frank McKenna

This discussion deals with recommendations in the paper on appropriate damping formulations for use in nonlinear response history analysis of buildings. Concern over potentially excessive damping forces and moments should extend beyond the damping moments produced by the stiffness proportional part of Rayleigh damping that corresponds to rotational springs used to explicitly model plastic hinges. The key to an appropriate damping formulation for nonlinear analysis is a realistic mechanism that allows all damping forces and moments to be meaningfully assessed. Then features can be added to keep these forces and moments within reasonable bounds. Copyright © 2016 John Wiley & Sons, Ltd.     

ANALYSIS OF SEISMICITY CHANGES PRIOR TO THE 2014 YUNNAN JINGGU MS6.6 EARTHQUAKE

According to the Region-Time-Length (RTL) algorithm,the analysis of seismicity changes prior to the 2014 Yunnan Jinggu M_S6.6 earthquake was conducted by using the earthquake catalogues about 6 and 15 years before this earthquake,respectively.When the studied period was nearly 6 years,an enhancement of seismic activity was detected around the epicenter since the beginning of 2013.The anomalies mainly distributed in the region of 22.5°~24.5°N and 99°~102°E.The range and degree of anomalies changed from small to large,and then to small chronologically.As the surface integral in respect to RTL,the physical parameter I_RTL,which could reflect the regional seismicity level,began to increase since August 2013,and then reduced after reaching the peak point.The time length from the peak point of I_RTL curve to the earthquake occurrence was 9 months.When the analyzed catalogue was nearly 15 years,the 2007 Ninger M_S6.4 occurred in the studied region.Seismicity quiescence was detected prior to the Ninger M_S6.4.Before the Jinggu M_S6.6,seismicity quiescence was detected firstly,and then enhanced activity was observed 1 year prior to the earthquake occurrence.The anomalies mainly distributed in the region of 22.5°~24.5°N and 99°~102°E.The time length from the peak point of I_RTL curve to the earthquake occurrence was 7 months.The above study showed that even the earthquakes location was near and the magnitude was close to each other,a big difference in seismic activity before the earthquakes may exist.Before the Jinggu M_S6.6,there was some difference in seismicity changes according to different beginning time of catalogues,but the distribution of anomalies and the time length from the peak point of I_RTL to the earthquake occurrence were uniform.So there was an important significance for exploring the relationship between the distribution of anomalies and the earthquake location,and the relationship between the time of the peak point of I_RTL and the earthquake occurrence time.     

PRE-ASSESSMENT OF EARTHQUAKE-INDUCED LOSSES BASED ON FIELD SURVEY AND KILOMETER GRID DATASET: A CASE STUDY FROM DEHONG DAI-JINGPO AUTONOMOUS PREFECTURE

The pre-assessment of earthquake damage based on field surveys and grid dataset in 1km resolution is very helpful for emergency preparedness and mitigation of earthquake disaster losses.In this paper,we briefly introduced the contents,principles,methods and the results of software assessment as well as the revised results after field surveys.In addition,the emergency supplies and manpower requirements after the outbreak of earthquake are discussed.The assessment contents include the earthquake affected area and population,the amount of casualties,injuries,economic losses,and the number of population to be resettled.Scenario earthquake is set with an interval of 50 kilometers along the major faults and the losses induced by earthquake are outputted by the software.After that,the software outputs are revised based on field surveys.In addition,according to the earthquake cases happening between 2008 and 2015,the growth curve model used to estimate the demand of rescue supplies and teams is also proposed in this study.Based on this model and the software named earthquake emergency disaster rapid assessment and dynamic visualized software (NIE Gao-zhong,2014),and with the help of the statistical data such as population density and socio-economic situations,earthquake losses are pre-assessed by taking Dehong Dai-Jingpo Autonomous Prefecture as an example.The comparison shows that the actual losses are nearly the same as the software outputs.However,due to the ignorance of the casualties caused by geological disasters,the revised casualties are more than the software output.Not only the study area discussed in this paper,the earthquake loss assessment method can also be used to other regions in China.