1936年广西为山27／4级地震极震区震害和地震影响场的研究

１９３６年广西灵山２７／４级地震是南海北缘内陆最强的一次地震，也是震害最严重的一次，震中烈度９度强。倒房率震害指数甚高，地震破坏和其它宏观现象也非常突出，形成两个极震区，其一长轴北东东向，其二长轴北北西向。     

1987年8月2日江西省寻乌MS5.5级地震的震害与烈度分布

从寻乌5.5级地震的地震地质构造背景，宏观震害考察结果。结合近场强地面运动观测中几次较大地震的加速度峰值。分析宏观烈度分布特征。认为烈度分布特征除了受构造控制外，还与地形，地基土质条件有关，极震区长轴方向显示鸡笼嶂-寻乌-八尺北西向断裂是寻乌地震的主要发震断层，发震构造受控于华南块体构造应力场，发震区处于北北东向河源-邵武断裂中段和东西向断裂交汇部位。     

北京凹陷地震地面运动超声模拟

1976年唐山大地震震害调查表明,北京城区震害异常带的分布与北京凹陷的西北及东南两翼相对应。 垂直于北京凹陷长轴切取场地剖面,分別将覆盖层和基岩简化为均质体,按相似性要求设计模型。设震源位于场地的东南方向,选择与天然地震震源辐射特征相似的发射换能器模拟之,同时采用对不同方向的振动具有不同灵敏度的换能器,来拾取模拟地震地面运动的各分量。 由模拟实验观测得到,在随震中距离增加而衰减的总趋势之上,天坛、前门和西四附近模拟地震地面运动大大加强,这与宏观震害的分布吻合较好。模拟地震地面运动表现为先颠后摇,并且铅垂向振动具有一定强度,水平振动的大能量段持续时间较长,其反应谱呈现双峰乃至多峰形。另外,同一时刻不同地点水平地震力存在差异,这是产生水平力偶的原因之一,1976年唐山大地震时北京城区的地震破坏与上述结果较为一致。 进一步的分析研究揭示了埋藏基岩面形态对地震地面运动影响的物理实质。 本文还就基岩面的变化对地震波影响的规律方面也进行了探讨。      

浅谈草滩地震

1977年8月23日,西安市北郊草滩公社发生2.9级地震,9月5日又在同一地方发生2.2级地震。震后现场考察结果表明,两次地震在宏观上可视为同源地震,它们的震中位置基本一致,极震区未造成破坏,但有感范围比较大。特别值得注意的是,震后西安地裂缝日趋明显,并不断向两侧扩展,市区从南向北清楚地显示出五条北东、北东东向规则排列的地裂缝,地面建筑及各种工程设施均遭受到不同程度的破坏,引起了社会上的广泛重视,地震工作者更为关切。因为它既可能造成震害,又直接影响到社会主义建设事业,本文就草滩地震的一些基本情况提出几点粗浅看法。     

施甸5.9级地震震害与竖向地震力作用

通过对施甸5．9级地震震害现象的机理分析，清晰地发现竖向地震作用起重要破坏作用，与获取的强地面运动峰值加速度竖向值相吻合。映证了在历次地震中许多地震工作常发现极震区竖向地震力起重要破坏作用的原因。     

海城7.3级地震破坏特征及震害预测

海城7.3级地震后的大量宏观烈度调查,绘出的海城地震等震线图及用震害指数法调查900多个自然村勾绘的高烈度破坏条带,清晰地反映出发震构造对震害分布的明显控制作用。尤其等震线图的畸形,是受烈度主要控制因素的影响。 由于海城震区位于人口稠密、工业集中和山区向平原过渡地带,各种地形地貌土壤条件下的震害表现十分典型。因此,出现了农村与城镇的不同破坏特点,山区与平原的震害差异。尤其在广大的下辽河平原,砂基液化的广泛出现和一些特殊震害现象、烈度异常的产生,对未来震害预测提供了有益启示。     

汶川地震道路破坏机理浅析

基于2008年汶川地震道路破坏数据与破坏现象,对道路构件（挡土墙、边坡和路基路面）震害相关因素进行统计,宏观分析统计结果。根据道路构件不同的破坏形式进行分类,总结每类破坏形式常见的自然地质条件及工程因素,并给出地震作用下道路构件震害发生机理,加深对公路系统震损特征的了解,有利于因地制宜地提高道路抗震能力和震后恢复能力。     

鲁甸 MS6.5级地震强震动记录及震害分析

2014年8月3日发生的鲁甸地震是我国继2013年芦山地震之后的又一次破坏性浅源地震,造成了严重的人员伤亡和工程结构破坏.本文处理了我国数字强震动台网捕获的60余组主震三分量强震动记录,绘制了震中附近区域的峰值加速度等值线图,长轴沿西北-东南方向展布.通过与中国西部常用衰减关系的对比,发现各模型的预测值均不同程度高估了峰值加速度、峰值速度的观测值.最后以水平向峰值加速度较大的三个典型台站为例,详细调查了附近建筑的破坏情况,结合宏观烈度分布结果,分析了地震动特征与震害的相关性.     

唐山地震的地面破坏效应

唐山地震地面破坏具有范围广、震害分区性强、类型多样、工业工程破坏效应突出、与地震构造相关、地面垂直形变幅度大等特征。其成因与主震强、余震多、地面效应相互叠加;地质地貌条件复杂和工业发达有关。震区出现地震断层、地裂缝、崩塌、滚石、滑坡、流滑、地震陷坑和砂土液化等地面破坏现象。以路堤、土坝、河岸开裂或滑坡,地面和矿碴堆流滑、砂土液化等危害最大。     

尼泊尔自建民居在2015年地震序列中的震害

2015年4月至5月,包括一次8.1级地震和三次7.0级以上余震的地震序列对尼泊尔中部偏北地区造成严重影响。片石结构和钢筋混凝土框架结构是这一地区最为常见的两种自建民居的结构形式。本文在总结本次地震序列中这两种自建民居的震害特征的基础上,给出在九个宏观烈度评定为8度的调查点获取的这两种结构形式房屋的破坏比。自建钢筋混凝土框架结构房屋虽然大多不满足尼泊尔抗震规范的相关要求,抗震设防水平较低,但其破坏程度远远小于片石结构。即使在交通不便、经济落后的尼泊尔山区,钢筋混凝土框架结构也已在很大程度上得到推广。这一经验值得我国村镇建筑借鉴。结合震害调查工作,反思了建筑抗震性能差异和强余震等因素对我国现行的基于震害现象的烈度评定方法的干扰。     

Macroseismic evidence and site effects for the Lunigiana (Italy) 1995 Earthquake

On October 10, 1995, an M_L= 4.8 (ING) earthquake occurred in the region of Lunigiana (northwestern Italy). The shock was felt over a large area and produced significant damage. We performed a macroseismic survey and damage zonation and assessed a maximum intensity VII MCS in the epicentral area. The damage pattern, that we investigated in detail for some of the villages in the most heavily damaged area, emphasises the role of surface geology in amplifying the effects. Topographic effects and near-surface geology are largely responsible for broadening the damage area. Given the moderate size of the earthquake, many of the macroseismic observations, including rotations of objects and the propagation of visible waves in the ground, are suggestive of amplification phenomena.     

探讨地震宏观破坏场分布的影响因素

提出震后根据仪器定位的微观震中和断层构造的关系快速确定可能的宏观震中位置,并依此使用烈度经验分布模型来进行震害快速评估。这将提高直接用微观震中位置进行震害快速评估方法的精度。通过对全国133个主要地震的微观震中与宏观震中偏离量进行统计可知。偏离量在35km范围内的占88％,其余基本都在75km范围内。这样就给出了判定宏观震中的重点区域和分析区域。详细分析南北地震带66个震例及其与断层空间分布特征的关系。以及震源机制解结果后发现,影响宏观震中偏离的因素除仪器定位本身的误差外,主要还有断层展布方向、活动规模、断层相互交接特征及震级大小等。通过对这些影响因素的分类处理分析,建立了震后室内快速判定可能的宏观震中位置的原则和步骤。以该方法为基础,通过建立包含有关因素的全国断层数据库,即可在实际的震害快速评估中得以应用。     

Retrospective Prediction of Macroseismic Intensities Using Strong Ground Motion Simulation: The Case of the 1978 Thessaloniki (Greece) Earthquake (M6.5)

The densely populated city of Thessaloniki (Northern Greece) is situated in~the vicinity of active seismic faults, capable of producing moderate to strong earthquakes. The city has been severely affected by such events several times during the last 15 centuries. The most recent event occurred on 20 June 1978 (M6.5) in the Mygdonian graben, with an epicentral distance of about 30 km, causing extended damage in the city, with macroseismic intensities between MSK V+ and VIII+. The majority of buildings affected by the earthquake were of reinforced-concrete typology, typical to many southern European metropolitan areas. The source properties of the normal-faulting causative event and the source-to-city propagation path are well known from previous studies. The soil structure under the metropolitan area of Thessaloniki is assigned NEHRP categories B, C, D on the basis of geotechnical and geologic information and single-station ambient-noise measurements. A finite source model and various rupture scenarios of the June 1978 earthquake are used to perform forward stochastic modeling of strong ground motion in terms of peak ground and spectral acceleration. Rock motion is assessed under the city and it is transferred to the surface in accordance with the respective soil category. A GIS tool is employed to compare the estimated strong-motion parameters with the observed detailed damage pattern induced by the 1978 earthquake. For selected natural periods, a satisfactory correlation is established between macroseismic intensity and peak ground and spectral acceleration, thus encouraging the application of stochastic modeling for generating realistic ground-shaking scenarios in metropolitan areas.     

汶川8.0级地震仪器烈度与宏观烈度对比分析

利用2008年汶川M8.0地震获得的强震动记录数据,根据《仪器地震烈度计算暂行规程》计算得到各台站处的仪器地震烈度值,分析仪器地震烈度与宏观地震烈度的对应关系,研究该仪器烈度计算方法的适用性。结果表明,利用该算法所得的仪器烈度值与宏观烈度完全吻合的比率为47.5%,偏差±1度以内的比率为89.1%,说明二者对应情况较为理想,仪器烈度可在一定程度上客观反映实际的震害情况;在各宏观烈度区内仪器烈度值虽然具有一定的离散性,但其均值与宏观烈度区值的偏差相对较小,均控制在±0.3度以内。另外,文中还绘制了汶川地震仪器烈度分布图,虽然与宏观烈度在整体分布上具有一定的对应关系,但受多种因素的影响,仪器烈度分布与宏观烈度分布不可能完全一致。仪器烈度与宏观烈度的概念和属性有所差异,发挥的作用也不尽相同,不应混淆和相互替代。     

Damage to residential buildings in Hveragerði during the 2008 Ölfus Earthquake: simulated and surveyed results

This study analyses the performance of residential buildings in the town of Hveragerði in South Iceland during the 29 May 2008 Mw 6.3 Ölfus Earthquake. The earthquake occurred very close to the town, approximately 3–4 km from it. Ground shaking caused by the earthquake was recorded by a dense strong-motion array in the town. The array provided high-quality three-component ground acceleration data which is used to quantify a hazard scenario. In addition, surveys conducted in the town in the aftermath of the earthquake have provided information on macroseismic intensity at various locations in the town. Detailed information regarding the building stock in the town is collected, and their seismic vulnerability models are created by using building damage data obtained from the June 2000 South Iceland earthquakes. Damage to buildings are then simulated by using the scenario hazard and vulnerability models. Damage estimates were also obtained by conducting a survey. Simulated damage based on the scenario macroseismic intensity is found to be similar to damage estimated from survey data. The buildings performed very well during the earthquake—damage suffered was only 5 % of the insured value on the average. Correlation between actual damage and recorded ground-motion parameters is found to be statistically insignificant. No significant correlation of damage was observed, even with macroseismic intensity. Whereas significant correlation was observed between peak ground velocity and macroseismic intensity, neither of them appear to be good indicators of damage to buildings in the study area. This lack of correlation is partly due to good seismic capacity of buildings and partly due to the ordinal nature of macroseismic intensity scale. Consistent with experience from many past earthquakes, the survey results indicate that seismic risk in South Iceland is not so much due to collapse of buildings but rather due to damage to non-structural components and building contents.     

Field survey around strong motion stations and its implications on the seismic intensity in the Lushan earthquake on April 20, 2013

The M _s7.0 Lushan earthquake on April 20, 2013 is another destructive event in China since the M _s8.0 Wenchuan earthquake in 2008 and M _s7.1 Yushu earthquake in 2010. A large number of strong motion recordings were accumulated by the National Strong Motion Observation Network System of China. The maximum peak ground acceleration (PGA) at Station 51BXD in Baoxing Country is recorded as ?1,005.3 cm/s², which is even larger than the maximum one in the Wenchuan earthquake. A field survey around three typical strong motion stations confirms that the earthquake damage is consistent with the issued map of macroseismic intensity. For the oscillation period 0.3–1.0 s which is the common natural period range of the Chinese civil building, a comparison shows that the observed response spectrums are considerably smaller than the designed values in the Chinese code and this could be one of the reasons that the macroseismic intensity is lower than what we expected despite the high amplitude of PGAs. The Housner spectral intensities from 16 stations are also basically correlated with their macroseismic intensities, and the empirical distribution of spectral intensities from Lushan and Wenchuan Earthquakes under the Chinese scale is almost identical with those under the European scale.     

Comparing Loss Estimation with Observed Damage: A Study of the 1999 Kocaeli Earthquake in Turkey

Loss estimation from future earthquakes is of growing importance in planning earthquake protection strategies in high-risk areas. Loss models based on the spectral displacement approach are now widely used because of generally acknowledged deficiencies in earlier approaches using macroseismic intensity or peak ground-motion parameters. However, there has been to date rather little earthquake damage data by which the new generation of models can be assessed and which can be used to calibrate the parameters involved. The availability of several detailed damage surveys carried out following the 1999 Kocaeli earthquake in Turkey, provides a rare opportunity for such an assessment. In this paper the losses which would be predicted from two different approaches to loss assessment – one using predicted macroseismic intensity, the other using the spectral displacement method – are compared with actual observed losses in the Kocaeli event at two different locations where surveys were carried out. One of these sites was very close to the surface fault rupture (< 3 km distance), the other at a distance of about 4.5 km. It is shown that the predictive methods available generally overestimated the losses at these distances, and a number of possible reasons for these discrepancies are considered. The sensitivity of loss estimates to variations in the key parameters governing the estimation in each case are explored, in particular with respect to modifications in the parameters of the attenuation relationships and the vulnerability parameters. The implications of these results for estimating future losses are discussed. This revised version was published online in July 2006 with corrections to the Cover Date.     

A macroseismic intensity prediction equation for intermediate depth earthquakes in the Vrancea region,Romania

The use of shake maps in terms of macroseismic intensity in earthquake early warning systems as well as intensity based seismic hazard assessments provides a valuable supplement to typical studies based on recorded ground motion parameters. A requirement for such applications is ground motion prediction equations (GMPE) in terms of macroseismic intensity, which have the advantages of good data availability and the direct relation of intensity to earthquake damage. In the current study, we derive intensity prediction equations for the Vrancea region in Romania, which is characterized by the frequent occurrence of large intermediate depth earthquakes giving rise to a peculiar anisotropic ground shaking distribution. The GMPE have a physical basis and take the anisotropic intensity distribution into account through an empirical regional correction function. Furthermore, the relations are easy to implement for the user. Relations are derived in terms of epicentral, rupture and Joyner–Boore distance and the obtained relations all provide a new intensity estimate with an uncertainty of ca. 0.6 intensity units.     

The Main Features of the Local Geological Conditions Can Explain the Macroseismic Intensity Caused in Xiji-Langfu (Beijing) by the Ms = 7.7 Tangshan 1976 Earthquake

—The special geological conditions in the Xiji-Langfu area are the main reason for the anomalous high macroseismic intensity caused by the Tangshan, 1976 earthquake. The area is formed by deep deposits - mainly alluvium sands and clays poorly consolidated and with high water content - that have been trapped by the Xiadian fault. From simulated ground motion we have computed quantities commonly used for engineering purposes like the acceleration maximum amplitude (AMAX) and the total energy of ground motion (W), which is related to the Arias Intensity. The thick low velocity deposits are responsible for the large increment of the values of AMAX and W inside the basin. On the two sides of the Xiadian fault AMAX and W can vary by 200% and 700% respectively, and these variations are quite stable with varying thickness of the sedimentary deposit used in the models. With the existing relationships between acceleration (AMAX) and macroseismic intensity (I) our results can explain the large values of I observed in the Xiji-Langfu area, in connection with the Tangshan earthquake.     

2008年10月5日新疆乌恰6.8级地震现场考察

2008年10月5日在新疆乌恰地区发生的M_S6.8地震,微观震中位于乌恰县境内,距边境18km,宏观震中位于吉尔吉斯斯坦共和国努拉村,距新疆乌恰县伊尔克什坦口岸西南约7km处,极震区烈度达到8度(境外).我国境内Ⅶ度和Ⅵ度区面积分别为7354km~2和1031km~2.这次地震的发生与南北向的卡兹特阿尔特弧形断裂带的活动有关.震区建筑物遭到一定程度的破坏,地质灾害现象较明显.