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首页> 外文期刊>Seismological research letters >SASHA: A computer program to assess seismic hazard from intensity data
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SASHA: A computer program to assess seismic hazard from intensity data

机译：SASHA：一种可从强度数据评估地震危害的计算机程序

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摘要

The evaluation of seismic hazard over wide territories is a basic tool for planning activities aimed at earthquake damage mitigation. This is commonly performed through probabilistic approaches based on the statistical analysis of past seismicity. Among these, due to its wide application worldwide, the Cornell-McGuire approach (Cornell 1968; McGuire 1978) has become a kind of “standard” methodology for probabilistic seismic hazard assessment (PSHA). In Italy, several national seismic hazard maps were produced in recent years (Slejko et al. 1998; Albarello et al. 2000; MPS Working Group 2004) by following this procedure as implemented by Bender and Perkins (1987). Yet despite its widespread application, this standard methodology presents severe drawbacks due to its strong sensitivity to some ill-defined aspects, such as geometry of seismic sources, attenuation of ground motion with distance from the source, completeness of available seismic catalogs, etc. Moreover, this kind of approach does not allow the full exploitation of a large amount of documentary data available at the site about the seismic effects of past earthquakes (Albarello and Mucciarelli 2003). Another drawback is that the standard approach was developed with the assumption that the seismicity database used to feed the computational model is constituted by instrumental data (magnitude, epicentral locations, etc.). However, in many countries (first and foremost, Italy) the bulk of the seismic database is constituted by macroseismic data, and thus the application of the standard method requires a “forcing” of macroseismic information into a para-instrumental format. But macroseismic information is not isomorphic to instrumental data since intensity values are discrete, ordinal, and range-limited. This implies that, in principle, mathematical formalizations suitable to instrumental information cannot be used to manage macroseismic data (see, e.g., Pasolini et al. 2008a, 2008b).
机译：评估整个地区的地震灾害是规划旨在减轻地震损害的活动的基本工具。通常通过基于过去地震活动统计分析的概率方法来执行此操作。其中，由于Cornell-McGuire方法（在Cornell 1968年; McGuire 1978年）在全球范围内的广泛应用，已成为概率地震危险性评估（PSHA）的一种“标准”方法。在意大利，按照Bender和Perkins（1987）的程序，近年来制作了几张国家地震灾害图（Slejko等，1998; Albarello等，2000; MPS工作组，2004）。然而，尽管这种标准方法论得到了广泛应用，但由于它对某些不确定的方面具有很高的敏感性，例如地震源的几何形状，随着距地震源的距离的地震动衰减，可用地震目录的完整性等，仍然存在严重的缺陷。但是，这种方法无法充分利用该站点上有关过去地震的地震影响的大量文献数据（Albarello和Mucciarelli 2003）。另一个缺点是标准方法是在假设用于提供计算模型的地震活动数据库由仪器数据（震级，震中位置等）构成的前提下开发的。但是，在许多国家（首先是意大利）中，地震数据库的大部分是由宏观地震数据构成的，因此，标准方法的应用要求将宏观地震信息“强制”为准仪器格式。但是，由于强度值是离散的，有序的和范围受限的，因此宏观地震信息与仪器数据不是同构的。这意味着从原则上讲，适合于仪器信息的数学形式化不能用于管理宏观地震数据（例如，参见Pasolini等人2008a，2008b）。

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