Interrelation between seismicity parameters and delimiting potential seismic sources in a seismic statistical region and its influence on seismic risk estimation

In the paper, we have discovered the abnormal area distribution features of maximum variation values of ground motion parameter uncertainty with different probabilities of exceedance in 50 years within the range of 100°～120°E,29°～42°N for the purpose to solve the problem that abnormal areas of maximum variation values of ground motion parameter uncertainties emerge in a certain cities and towns caused by seismicity parameter uncertainty in a seismic statistical region in an inhomogeneous distribution model that considers tempo-spatial nonuniformity of seismic activity. And we have also approached the interrelation between the risk estimation uncertainty of a site caused by seismicity parameter uncertainty in a seismic statistical region and the delimitation of potential sources, as well as the reasons for forming abnormal areas. The results from the research indicate that the seismicity parameter uncertainty has unequal influence on the uncertainty of risk estimation at each site in a statistical region in the inhomogeneous distribution model, which relates to the scheme for delimiting potential sources. Abnormal areas of maximum variation values of ground motion parameter uncertainty often emerge in the potential sources of Mu≥8 (Mu is upper limit of a potential source) and their vicinity. However, this kind of influence is equal in the homogeneous distribution model. The uncertainty of risk estimation of each site depends on its seat. Generally speaking, the sites located in the middle part of a statistical region are only related to the seismicity parameter uncertainty of the region, while the sites situated in or near the juncture of two or three statistical regions might be subject to the synthetic influences of seismicity parameter uncertainties of several statistical regions.     

基于地震带细致划分为地震构造区的概率地震危险性分析

在我国当前地震安全性评价中,普遍使用考虑地震活动时空不均匀性的概率地震危险性分析方法(CP-SHA),它规定以地震带为统计区域计算地震活动性参数b值和v4值。正在编制的中国地震动区划图(五代图)提出了针对潜在震源区进行三级划分原则:划分地震带、地震带上划分地震构造区、地震构造区内再划分潜在震源区。本文提出以地震构造区为统计区域回归统计方法计算b值和v4值,然后进行概率危险性分析计算,这样得到的结果可能更为合理。     

中强地震活动区地震年平均发生率确定方法的比较

Two kinds of methods for determining seismic parameters are presented,that is,the potential seismic source zoning method and grid-spatially smoothing method. The Gaussian smoothing method and the modified Gaussian smoothing method are described in detail, and a comprehensive analysis of the advantages and disadvantages of these methods is made. Then,we take central China as the study region,and use the Gaussian smoothing method and potential seismic source zoning method to build seismic models to calculate the mean annual seismic rate. Seismic hazard is calculated using the probabilistic seismic hazard analysis method to construct the ground motion acceleration zoning maps. The differences between the maps and these models are discussed and the causes are investigated. The results show that the spatial smoothing method is suitable for estimating the seismic hazard over the moderate and low seismicity regions or the hazard caused by background seismicity; while the potential seismic source zoning method is suitable for estimating the seismic hazard in well-defined seismotectonics. Combining the spatial smoothing method and the potential seismic source zoning method with an integrated account of the seismicity and known seismotectonics is a feasible approach to estimate the seismic hazard in moderate and low seismicity regions.     

论发震构造特性在潜在震源区参数确定中的应用

发震构造特性是潜在震源区划分及其地震年发生率确定的重要依据。潜在震源区除了反映“未来具有发生破坏性地震的地区”的内涵外,还应反映高震级档地震具有相似复发特征的涵义。由于在地震活动性参数统计单元内,有一些具有不同本底地震的活动构造块体,为更好地反映地震活动的空间不均匀性,考虑潜在震源区的三级划分是有必要的。通过分析潜在震源区内高震级档地震的复发特征,计算预测时段内潜在震源区的高震级档地震的发震概率,采用预测时段内概率等效转换获得地震年平均发生率的方法,有助于在中国地震危险性分析框架内考虑潜在震源区的强震复发特性。另外,文中还对潜在震源区内特征地震次级震级档频度不足的特性和发震构造上强震非均匀性在地震危险性分析中的应用问题进行了探讨     

K-means cluster analysis and seismicity partitioning for Pakistan

Pakistan and the western Himalaya is a region of high seismic activity located at the triple junction between the Arabian, Eurasian and Indian plates. Four devastating earthquakes have resulted in significant numbers of fatalities in Pakistan and the surrounding region in the past century (Quetta, 1935; Makran, 1945; Pattan, 1974 and the recent 2005 Kashmir earthquake). It is therefore necessary to develop an understanding of the spatial distribution of seismicity and the potential seismogenic sources across the region. This forms an important basis for the calculation of seismic hazard; a crucial input in seismic design codes needed to begin to effectively mitigate the high earthquake risk in Pakistan. The development of seismogenic source zones for seismic hazard analysis is driven by both geological and seismotectonic inputs. Despite the many developments in seismic hazard in recent decades, the manner in which seismotectonic information feeds the definition of the seismic source can, in many parts of the world including Pakistan and the surrounding regions, remain a subjective process driven primarily by expert judgment. Whilst much research is ongoing to map and characterise active faults in Pakistan, knowledge of the seismogenic properties of the active faults is still incomplete in much of the region. Consequently, seismicity, both historical and instrumental, remains a primary guide to the seismogenic sources of Pakistan. This study utilises a cluster analysis approach for the purposes of identifying spatial differences in seismicity, which can be utilised to form a basis for delineating seismogenic source regions. An effort is made to examine seismicity partitioning for Pakistan with respect to earthquake database, seismic cluster analysis and seismic partitions in a seismic hazard context. A magnitude homogenous earthquake catalogue has been compiled using various available earthquake data. The earthquake catalogue covers a time span from 1930 to 2007 and an area from 23.00° to 39.00°N and 59.00° to 80.00°E. A threshold magnitude of 5.2 is considered for K-means cluster analysis. The current study uses the traditional metrics of cluster quality, in addition to a seismic hazard contextual metric to attempt to constrain the preferred number of clusters found in the data. The spatial distribution of earthquakes from the catalogue was used to define the seismic clusters for Pakistan, which can be used further in the process of defining seismogenic sources and corresponding earthquake recurrence models for estimates of seismic hazard and risk in Pakistan. Consideration of the different approaches to cluster validation in a seismic hazard context suggests that Pakistan may be divided into K?=?19 seismic clusters, including some portions of the neighbouring countries of Afghanistan, Tajikistan and India.     

The Principles and Methods of Division of Potential Seismic Regions for Moderately Strong Earthquakes in Northeast and North China

The uncertainty of potential seismic regions for moderately strong earthquakes has a great effect on the results of seismic hazard analysis in weak seismicity regions,so it is the basement of seismic zoning and seismic hazard assessment for engineering sites by correctly dividing the potential seismic regions for moderately strong earthquakes.By taking Northeast and North China as examples,the authors compiled and systematically analyzed a large amount of basic data and then suggest the principles and methods of potential seismic regions for moderately strong earthquakes based on a great number of case studies.The practical division of potential seismic regions in the Changchun and Jilin areas shows that these principles and methods show better suitability.Moreover,the authors also discuss in this paper the progress obtained and put forward some problems that should be solved in the future.     

Seismic source identification and characterisation for probabilistic seismic hazard analyses conducted in the Buller–NW Nelson Region, South Island, New Zealand

A seismic source model is presented for use in probabilistic seismic hazard analyses to be conducted for sites within the Buller–NW Nelson region of New Zealand. The application of common probabilistic seismic hazard analysis (PSHA) methodology for sites in this region has been complicated by the long-held suspicion that the observed rates of seismic activity are high and not representative of long-term earthquake activity. However, recent analyses of geological, seismicity and geodetic data indicate that the extent of this anomaly may have been overestimated and that current rates of seismic activity within this region are likely to continue into the foreseeable future. Probable bounds for the most appropriate long-term rates of seismic activity are estimated after considering all available sources of constraint. These include geodetic analyses, plate-motion modelling, finite element modelling, structural geological considerations, paleoseismic information, tree-ring analyses, precarious rock information, observed seismicity and fundamental mechanics. A suite of fault sources is identified, and the observed seismicity is partitioned between these sources and a background source using Bayesian inference, and then analysed to obtain a magnitude–frequency distribution for each seismic source. The annual moment release rate for the region, resulting from the identified and characterised sources, is shown to be consistent with available constraints. Consequently, it is demonstrated that the observed seismicity in the Buller–NW Nelson region can be used to model future earthquake occurrence within the region and that standard PSHA may therefore be implemented within the region.     

我国东北和华北地区中强地震潜在震源区的划分原则和方法

中强地震潜在震源区的不确定性，对弱地震活动区地震危险性分析结果的影响较大。因此，正确二划分中强地震潜在震源区，是地震区划加和工程场地地震安全性评价的基础。本文以东北和华北地区为例，较为系统地整理了大量基础资料，从众多典型震例分析结果中提出了该地区中强地震潜在震源区的划分原则和方法，对长春，吉林等地区进行了实验划分结果表明，本文所提出了划分原则和方法具有较好的适应性。与此同时，还对本文取得的进展和有     

Probabilistic seismic hazard assessment for Romania and sensitivity analysis: A case of joint consideration of intermediate-depth (Vrancea) and shallow (crustal) seismicity

The earthquake risk on Romania is one of the highest in Europe, and seismic hazard for almost half of the territory of Romania is determined by the Vrancea seismic region, which is situated beneath the southern Carpathian Arc. The region is characterized by a high rate of occurrence of large earthquakes in a narrow focal volume at depth from 70 to 160 km. Besides the Vrancea area, several zones of shallow seismicity located within and outside the Romanian territory are considered as seismically dangerous. We present the results of probabilistic seismic hazard analysis, which implemented the “logic tree” approach, and which considered both the intermediate-depth and the shallow seismicity. Various available models of seismicity and ground-motion attenuation were used as the alternative variants. Seismic hazard in terms of macroseismic intensities, peak ground acceleration, and response spectra was evaluated for various return periods. Sensitivity study was performed to analyze the impact of variation of input parameters on the hazard results. The uncertainty on hazard estimates may be reduced by better understanding of parameters of the Vrancea source zone and the zones of crustal seismicity. Reduction of uncertainty associated with the ground-motion models is also very important issue for Romania.     

基于广义极值理论的潜在地震海啸源震级上限及强震重现水平的估计——以琉球海沟俯冲带为例

以琉球海沟俯冲带作为研究区,将广义极值理论用于估计潜在地震海啸源震级上限,首先分析了琉球海沟俯冲带的地震地质构造特征以及历史地震资料,界定潜在地震海啸源区,然后根据地震活动性特征按时间域进行分割,并提取各时间段发生的极限震级的地震样本,最后通过广义极值分布模型估计了该区域的震级上限值和强震重现水平,并对其进行了不确定性分析。     

新疆主要逆断层-褶皱构造区基本地震构造特征与潜在震源划分问题

本文介绍了新疆主要逆断层-褶皱构造区的基本特征,并对其潜在震源划分问题进行了初步的讨论。北天山山前推覆构造及乌鲁木齐以南的逆断裂-褶皱构造相对比较简单,由根部断裂、推覆体和前缘逆断裂-褶皱构造所组成;强地震的极震区或地震动的高值区可能位于推覆构造的根部断裂附近,而地震地表破裂和同震地表变形则位于山前逆断层-褶皱带内。南天山的柯坪推覆构造、库车推覆构造、帕米尔东北缘的弧形推覆构造,虽然也由多排逆断裂-褶皱构造带组成,但是其中的规模巨大、发育时间较长的逆断裂-背斜带,往往具备发生强震的条件。强震的极震区分布与地震地表断层位置比较一致,可作为强震的潜在震源。盆地内的新的盲逆断层-褶皱构造也具备发生6.5—7.0 级地震的能力,应作为震级上限为 7.0 级的潜在震源。由于对逆断层-褶皱构造的深浅构造关系及发震模型认识的不足,在潜在震源划分中应考虑这种不确定性。同时在潜在震源区划分中,还应考虑地震构造区的地震活动历史及构造活动性参数。     

地震带与地震统计区关系探究

总结和分析了中国地震带划分的研究历史、目的和用途、划分原则、表现形式以及基本特点，指出地震带是以地震活动性区域划分研究为目的，它不同于概率地震危险性方法中的地震统计区的概念．文中对地震统计区概念及其演化历史进行了分析和论述，认为地震统计区与地震带在统计意义、物理内涵、层次性、划分规模的要求、对空间重叠的排斥性以及划分目的和用途等方面，均存在较大差异．现行工作中将两者不加区分地使用是不合适的， 一方面造成地震统计区未形成自身的适应概率地震危险性分析方法的划分理论，另一方面也造成以地震活动特征和地震孕育发生环境、机制研究为目的的地震带划分研究的停滞不前．文中最后指出，地震统计区划分是以地震带划分研究为基础，它产生并服务于考虑地震活动时空不均匀性的概率地震危险性分析方法，应将其与地震带概念加以明确区分，并加强其划分原则、理论和方法的研究．      

Discussion about the relationship between seismic belt and seismic statistical zone

This paper makes a summary of status of delimitation of seismic zones and belts of China firstly in aspects of studying history,purpose,usage,delimiting principles,various presenting forms and main spectialties.Then the viewpoints are emphasized,making geographical divisions by seismicity is just the most important purpose of delimiting seismic belts and the concept of seismic belt is also quite different from that of seismic statistical zone used in CPSHA method.The concept of seismic statistical zone and its history of evolvement are introduced too.Large differences between these two concepts exist separately in their statistical property,actual meaning,gradation,required scale,and property of refusing to overlap each other,aim and usage of delimitation.But in current engineering practice,these two concepts are confused.On the one hand,it causes no fit theory for delimiting seismic statistical zone in PSHA to be set up;on the other hand,researches about delimitation of seismic belts with purposes of seismicity zoning and studying on structural environment,mechanism of earthquake generating also paues to go abead.Major conclusions are given in the end of this paper,that seismic statistical zone bases on the result of seismic belt delimiting,it only arises in and can be used in the especial PSHA method of China with considering spatially and termporally inhomogeneous seismic activities,and its concept should be clearly differentiated from the comcept of seismic belt.     

The application of seismic data with different precision in the determination of seismicity parameters

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Assessment of seismic hazard in the North Caucasus

The seismicity of the North Caucasus is the highest in the European part of Russia. The detection of potential seismic sources here and long-term prediction of earthquakes are extremely important for the assessment of seismic hazard and seismic risk in this densely populated and industrially developed region of the country. The seismogenic structures of the Iran-Caucasus-Anatolia and Central Asia regions, adjacent to European Russia, are the subjects of this study. These structures are responsible for the specific features of regional seismicity and for the geodynamic interaction with adjacent areas of the Scythian and Turan platforms. The most probable potential sources of earthquakes with magnitudes M = 7.0 ± 0.2 and 7.5 ± 0.2 in the North Caucasus are located. The possible macroseismic effect of one of them is assessed.     

山东某场地概率地震危险性分析

利用概率地震危险性分析(CPSHA)方法,对山东某场地进行地震危险性分析,通过对该场地划分潜在震源区,确定地震活动性参数及地震动衰减关系,计算分析地震危险性概率,基本确定对该场地地震动峰值加速度起主要贡献的几个潜在震源区及贡献值,并确定该场地50年超越概率10%的水平向基岩地震动加速度峰值。结果发现,CPSHA方法以具体的构造尺度和更加细致的构造标志来划分潜在震源区,使潜在震源区规模缩减,从而更能反映地震活动在空间分布上的不均匀性。     

地震预测的构造物理模型研究

在系统收集和分析中国大陆的活动构造、地震活动和地球物理场资料的基础上，初步圈定出769个构造物理潜在震源，并对其中477个位于主要强震区、带内的潜在震源进行了空间几何定量描述和基本震源参数的系统分析，在GIS平台上开发了分析系统，逐一计算了每一潜在震源的十年发震概率，圈定了1999～2008年的强震危险区，根据发震概率的大小对危险区的危险性进行分类。近几年发生的强震与预测结果的对比检验结果表明，用构造物理模型确定的十年地震危险区具有较好的预测效果。     

Accounting for source location errors in the bayesian analysis of seismicity and seismic hazard

A method is presented for incorporating the uncertainties associated with hypocentral locations in the formulation of probabilistic models of the time and space distributions of the activity of potential seismic sources, as well as of the resulting seismic hazard functions at sites in their vicinity. For this purpose, a bayesian framework of analysis is adopted, where the probabilistic models considered are assumed to have known forms and uncertain parameters, the distribution of the latter being the result of an a priori assessment and its updating through the incorporation of the direct statistical information, including the uncertainty associated with the relations between the actual hypocentral locations and the reported data. This uncertainty is incorporated in the evaluation of the likelihood function of the parameters to be estimated for a given sample of recorded locations. For the purpose of illustration, the method proposed is applied to the modelling of the seismic sources near a site close to the southern coast of Mexico. The results of two alternate algorithms for the incorporation of location uncertainties are compared with those arising from neglecting those uncertainties. One of them makes use of Monte Carlo simulation, while the other is based on a closed-form analytical integration following the introduction of some simplifying assumptions. For the particular case studied, accounting for location uncertainties gives place to significant changes in the probabilistic models of the seismic sources. Deviations of the same order of magnitude can be ascribed to differences in the mathematical and/or numerical tools used in the uncertainty analysis. The resulting variability of the seismic hazard at the site of interest is less pronounced than that affecting the estimates of activity of individual seismic sources.     

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.     

空间光滑地震活动性模型中光滑函数的比较研究

使用Frankel提出的基于空间光滑地震活动性模型的地震危险性分析方法,选择华南、华北、川滇3个地区的地震记录,比较分析了高斯、幂律和地震分形分布光滑函数3种光滑函数在不同地区的适用性．结果表明,使用交叉验证法可以为高斯光滑函数选取合适的相关距离c值,光滑得到的地震活动性模型能够真实反映研究区域的地震活动特征,根据活动性模型计算得出的峰值加速度(PGA)分布也符合人们对研究区域地震危险性的认识．幂律光滑函数适用于地震活动性较强的地区,且具有容易求取光滑参数的优点．光滑程度较低的幂律光滑函数不适用于地震活动性弱的地区,在该类地区应选择光滑程度较高的高斯光滑函数．地震分形分布光滑函数不适用于地震活动较强且地震活动强度差异较大的地区,其容易过分高估高震级地震对地震危险性的影响,而忽略了低震级地震对地震危险性的贡献．但对于地震活动较弱且地震活动强度差异较小的地区,可使用地震分形分布光滑函数,且同样具有容易求取光滑参数的优点．