全球地震模型（GEM）研究进展综述及应用前景展望

本文综述了全球地震模型（GEM）组织的工作目标、主要职能、主要工具（OpenQuake软件）、主要研究成果,并对GEM今后的发展和应用趋势进行了展望。借鉴GEM和OpenQuake,可以进一步完善我国的地震危险性分析模型,提升大型活动断裂带附近大城市和重大工程设施地震危险性分析的科学性。     

基于特大地震发生率的川滇地区地震危险性预测新模型

川滇地区是我国地震危险性较高的地区之一.本文基于对特大强震的风险性考虑,使用全球地震模型OpenQuake软件,建立了川滇地区地震危险性预测新模型.首先根据构造特征划分多个震源分区,并整理出这些震源分区内断层活动特征与滑动速率;基于震源分区和断层模型,使用GPS应变率转换成的锥形古登堡-里克特关系作为整个区域的地震积累率,并允许超过历史最大震级的特大地震的出现,结合活动断层滑动速率所积累的地震发生率,给出震源分区内断层地震源和背景地震源的地震发生率的比率分配关系;在活动断层分段上,保留了大型断裂或其主要部分,没有根据小的阶区来对断层进行详细分段,以便分配特大地震发生率;并使用地震率平滑方法分配背景地震发生率.最后在OpenQuake中加入地震动预测方程,计算出了川滇地区的PGA分布图,为区域地震危险性提供科学依据.     

基于GIS的城市地震次生火灾危险性分析系统

以地理信息系统（GIS）为开发平台，研究了城市地震次生火灾危险性分析系统的基本构成与功能和系统的数据分层与组织，给出了地震次生火灾危险性分析模型及方法．以上海市中心城区为背景，开发了基于GIS的地震次生火灾危险性分析与火灾扑救辅助决策系统．      

全球地震模型(GEM)行动计划

自然灾害是一个全球性的问题,而地震也是不分国界的。因此,需要有一套统一而又各自独立的规范来计算全球地震风险。2009年3月9日,全球地震模型(Global Earthquake Model,简称GEM)公私合作项目正式启动,这拉开了GEM行动计划的帷幕。GEM计划由经济合作与发展组织(OECD)的全球科学论坛发起,旨在提供一个开源的透明标准,以便在全世界进行地震风险的计算模拟与相关信息的沟通交流。在此,我们对该计划的远景、目标战略、科学框架、参与者、计划实施、组织、资助等情况做一简要介绍。     

从汶川地震到芦山地震

本文概述作者在龙门山断裂带中、小地震精确定位、地震活动性以及2008年汶川MW7.9(MS8.0)地震和2013年芦山MW6.7(MS7.0)地震破裂过程等方面所做的研究工作.这些工作表明,青藏高原东缘的龙门山断裂带不但是一条规模宏大的断裂带,也是一条非常活跃的地震带.通过对地震构造、地震活动性、地震矩释放"亏空"区以及余震活动规律的分析,作者在汶川地震后提出了龙门山断裂带西南段宝兴-小金一带存在发生MW6.7～7.3地震的潜在危险性的地震趋势估计.芦山地震的发生初步验证了这一估计.芦山地震发生后作者进一步做的分析结果表明,芦山地震的发生并没有显著地缓解龙门山断裂带西南段的地震危险性,该地段整体上仍存在发生MW7.2～7.3地震的潜在危险性;特别是,其北段(即邛崃大邑西-宝兴北-汶川南一带)存在发生MW6.8地震的潜在危险性;其南段(即天全-荥经-泸定-康定一带)存在发生MW7.2地震的潜在危险性.作者认为,应当强化对上述具有潜在地震危险性区域的监测与多学科综合研究.     

1972～2001年四川及邻区大震危险性预测研究的检验与思考

回顾了1972～2001年间省内外地震学者对四川震情研究的44篇文献中所提出的预测意见和实际检验情况,对其中的主要预测依据、预报能力、应用条件分别作了进一步分析。最后归纳了近期、中期、中短期3类强震趋势活动图像特征：近期危险性分析侧重地震带是否可能进入大震活跃幕;中期危险性分析侧重大震活跃幕的类型及窗口、相关、信号等地震是否发生;中短期危险性分析侧重中强震的条带、丛、环异常及诱发地震、逼近地震、缺震事件。实践表明,图像分析中尤应注意与孕震环境由大至小的整体分析和发展阶段的个性研究相结合。     

1988年四川八美5级地震参数和前兆的研究

本文对1988年6月四川省道孚八美(即乾宁)4.5、5.0、4.0级地震前后地震活动进行了研究,给出了地震参数、P波初动解、余震序列和前兆变化的分析及未来地震危险性的讨论。     

中国大陆大地震危险性判定的经验方法与实例研究

对大陆地震危险性判定的经验指标(地震活动图像异常因子)进行了初步归纳，结合当前震情趋势对未来10a大陆地震的危险性作出了初步判定。     

地震重点监视防御区县级行政单元地震危险性的差异统计及其分类管理的建议

本文利用GIS技术,将全国地震重点监视防御区(重防区)县级行政单元边界分别与中华人民共和国地震动峰值加速度图和中国及邻区地震区带和潜在震源区划分图叠加,对各县分别计算了如下4个地震危险性指标:(1)县境内最高地震动峰值加速度等级;(2)县境内面积比例最大的地震动峰值加速度等级;(3)县境内最高潜在震源区震级上限等级;(4)县境内面积比例最大的潜在震源区震级上限等级.通过分类统计全国重防区县级行政单元的地震危险性分布,得到的结论是:虽然同为重防区但各地的地震危险性相差巨大.据此,建议根据地震危险性的不同在重防区采取如下措施:第一,不论是何种类型的重防区,均应按中国地震动参数区划图对新建工程做抗震设防,对已有建筑做抗震加固;第二,位于高地震危险性的区域,特别是位于具7级以上潜在地震危险的重防区,要加强与防灾有关的应急准备、城市规划、地震监测预报、地震应急响应等专门措施.     

地震巨灾模型中的随机地震事件集模拟

地震巨灾保险是降低地震灾害风险的有效手段之一,而地震危险性分析是地震巨灾模型的主要分析模块之一。传统的概率地震危险性分析主要是基于潜在震源模型、地震活动性模型和地震动衰减模型等并采用概率方法得到场点的地震危险性值,该危险性表示的是未来所有地震对场点的综合影响。然而,在使用地震巨灾模型进行地震风险分析时需要用到单个地震事件对场点的影响,这就需要根据潜在震源区生成一系列单个地震事件,并计算每个事件对场点的影响。本研究采用蒙特卡洛方法,基于第五代中国地震动参数区划图中所采用的地震活动性模型(潜在震源区及其地震活动性参数),模拟符合我国地震活动时间、空间和强度分布特征的地震事件集。模拟时遵从的基本理论为:地震发生在时间上符合泊松分布,震级分布可用古登堡-里克特定律来描述,空间分布特征则用潜在震源区及其地震发生率来描述。模拟得到的地震事件包含以下参数:时间(年、月、日)、地点(经度、纬度)、深度、震级、断层走向以及衰减特征等。该模拟地震事件集可满足地震巨灾模型中地震风险分析的需求,已应用于我国地震巨灾模型中。     

Updated seismic hazard assessment of Tunisia

Modern earthquake loss models make use of earthquake catalogs relevant to the seismic hazard assessment upon seismicity and seismotectonic analysis. The main objective of this paper is to investigate a recently compiled catalog (National Institute of Meteorology or INM catalog: 412-2011) and to generate seismic hazard maps through classical probabilistic seismic hazard assessment (PSHA) and smoothed-gridded seismicity models for Tunisia. It is now established with the local earthquake bulletin that the recent seismicity of Tunisia is sparse and moderate. Therefore, efforts must be undertaken to elaborate a robust hazard analysis for risk assessment and seismic design purposes. These recommendations follow the recently published reports by the World Bank that describe the seismic risk in Tunis City as being beyond a tolerable level with an MSK intensity level of VII. Some attempts were made during the past two decades to assess the seismic hazard for Tunisia and they have mostly failed to properly investigate the historical and instrumental seismicity catalog. This limitation also exists for the key aspect of epistemic and random uncertainties impact on the final seismic hazard assessment. This study also investigates new ground motion prediction equations suitable for use in Tunisia. The methodology applied herein uses, for the first time in PSHA of Tunisia, seismicity parameters integrated in logic tree framework to capture epistemic uncertainties through three different seismic source models. It also makes use of the recently released version of OpenQuake engine; an open-source tool for seismic hazard and risk assessment developed in the framework of the Global Earthquake Model.     

Probabilistic seismic hazard assessment of southern part of Ghana

This paper presents a seismic hazard map for the southern part of Ghana prepared using the probabilistic approach, and seismic hazard assessment results for six cities. The seismic hazard map was prepared for 10% probability of exceedance for peak ground acceleration in 50 years. The input parameters used for the computations of hazard were obtained using data from a catalogue that was compiled and homogenised to moment magnitude (Mw). The catalogue covered a period of over a century (1615–2009). The hazard assessment is based on the Poisson model for earthquake occurrence, and hence, dependent events were identified and removed from the catalogue. The following attenuation relations were adopted and used in this study—Allen (for south and eastern Australia), Silva et al. (for Central and eastern North America), Campbell and Bozorgnia (for worldwide active-shallow-crust regions) and Chiou and Youngs (for worldwide active-shallow-crust regions). Logic-tree formalism was used to account for possible uncertainties associated with the attenuation relationships. OpenQuake software package was used for the hazard calculation. The highest level of seismic hazard is found in the Accra and Tema seismic zones, with estimated peak ground acceleration close to 0.2 g. The level of the seismic hazard in the southern part of Ghana diminishes with distance away from the Accra/Tema region to a value of 0.05 g at a distance of about 140 km.     

A comparison of intensity‐based demand distributions and the seismic demand hazard for seismic performance assessment

This paper compares the seismic demands obtained from an intensity‐based assessment, as conventionally considered in seismic design guidelines, with the seismic demand hazard. Intensity‐based assessments utilize the distribution of seismic demand from ground motions that have a specific value of some conditioning intensity measure, and the mean of this distribution is conventionally used in design verification. The seismic demand hazard provides the rate of exceedance of various seismic demand values and is obtained by integrating the distribution of seismic demand at multiple intensity levels with the seismic hazard curve. The seismic demand hazard is a more robust metric for quantifying seismic performance, because seismic demands from an intensity‐based assessment: (i) are not unique, with different values obtained using different conditioning intensity measures; and (ii) do not consider the possibility that demand values could be exceeded from different intensity ground motions. Empirical results, for a bridge‐foundation‐soil system, illustrate that the mean seismic demand from an intensity‐based assessment almost always underestimates the demand hazard value for the exceedance rate considered, on average by 17% and with a large variability. Furthermore, modification factors based on approximate theory are found to be unreliable. Adopting the maximum of the mean values from multiple intensity‐based assessments, with different conditional intensity measures, provides a less biased prediction of the seismic demand hazard value, but with still a large variability, and a proportional increase the required number of analyses. For an equivalent number of analyses, direct computation of the seismic demand hazard is a more logical choice and provides additional performance insight. Copyright © 2013 John Wiley & Sons, Ltd.     

Practice‐oriented estimation of the seismic demand hazard using ground motions at few intensity levels

This paper examines the calculation of the seismic demand hazard in a practice‐oriented manner via the use of seismic response analyses at few intensity levels. The seismic demand hazard is a more robust measure for quantifying seismic performance, when seismic hazard is represented in a probabilistic format, than intensity‐based assessments, which remain prevalent in seismic design codes. It is illustrated that, for a relatively complex bridge–foundation–soil system case study, the seismic demand hazard can be estimated with sufficient accuracy using as little as three intensity measure levels that have exceedance probabilities of 50%, 10% and 2% in 50 years which are already of interest in multi‐objective performance‐based design. Compared with the conventional use of the mean demand from an intensity‐based assessment(s), it is illustrated that, for the same number of seismic response analyses, a practice‐oriented ‘approximate’ seismic demand hazard is a more accurate and precise estimate of the ‘exact’ seismic demand hazard. Direct estimation of the seismic demand hazard also provides information of seismic performance at multiple exceedance rates. Thus, it is advocated that if seismic hazard is considered in a probabilistic format, then seismic performance assessment, and acceptance criteria, should be in terms of the seismic demand hazard and not intensity‐based assessments. Copyright © 2013 John Wiley & Sons, Ltd.     

Combining USGS ShakeMaps and the OpenQuake-engine for damage and loss assessment

The evaluation of the potential impact of strong seismic events shortly after their occurrence is a critical step to organise emergency response and consequently minimise the adverse effects of earthquakes. The estimation of the impact from earthquakes considering the observed ground shaking from past events can be useful for the calibration of existing exposure and/or fragility and vulnerability models. This study describes a methodology to combine the publicly available information from the USGS ShakeMap system and the open-source software OpenQuake engine for the assessment of damage and losses. This approach is employed to estimate the number of structural collapses considering the 2012 Magnitude 5.9 Emilia-Romagna (Italy) earthquake and the aggregated economic loss because of the 2010 Magnitude 7.1 Darfield (New Zealand) event. Several techniques to calculate the ground shaking in the affected region considering the spatial and interperiod correlations in the intra-event ground motion residuals are investigated and their influence in the resulting damage or loss estimates are evaluated.     

Improved seismic hazard model with application to probabilistic seismic demand analysis

An improved seismic hazard model for use in performance‐based earthquake engineering is presented. The model is an improved approximation from the so‐called ‘power law’ model, which is linear in log–log space. The mathematics of the model and uncertainty incorporation is briefly discussed. Various means of fitting the approximation to hazard data derived from probabilistic seismic hazard analysis are discussed, including the limitations of the model. Based on these ‘exact’ hazard data for major centres in New Zealand, the parameters for the proposed model are calibrated. To illustrate the significance of the proposed model, a performance‐based assessment is conducted on a typical bridge, via probabilistic seismic demand analysis. The new hazard model is compared to the current power law relationship to illustrate its effects on the risk assessment. The propagation of epistemic uncertainty in the seismic hazard is also considered. To allow further use of the model in conceptual calculations, a semi‐analytical method is proposed to calculate the demand hazard in closed form. For the case study shown, the resulting semi‐analytical closed form solution is shown to be significantly more accurate than the analytical closed‐form solution using the power law hazard model, capturing the ‘exact’ numerical integration solution to within 7% accuracy over the entire range of exceedance rate. Copyright © 2007 John Wiley & Sons, Ltd.     

A new seismic hazard analysis using FOSM algorithms

From recent lessons, it is evident that earthquake prediction is immature and impractical as of now. Under the circumstances, seismic hazard analysis is considered a more practical approach for earthquake hazard mitigation, by estimating the annual rate of earthquake ground motions (or seismic hazard) based on seismicity and other geological evidences. Like other earthquake studies for the high-seismicity region around Taiwan, this study aims to conduct a new seismic hazard assessment for the region using the well-established FOSM (first-order second-moment) algorithm, on the record of 55,000 earthquakes observed in the past 110 years. The new seismic hazard analysis from a different perspective shows that the annual rate for earthquake-induced PGA to exceed the current design value (i.e., 0.23g) in two major cities in Taiwan should be relatively low, with it no greater than 0.0006 per year. Besides, the FOSM estimates were found very close to those with Monte Carlo Simulation (MCS), mainly because the skewness of the three random variables (i.e., earthquake magnitude, location, and model error) considered in the probabilistic analysis is not very large.