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The 26 January 2001 M 7.6 Bhuj, India, Earthquake: Observed and Predicted Ground Motions

机译:2001年1月26日,印度普杰M 7.6地震:观测和预测的地震动

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摘要

Although local and regional instrumental recordings of the devastating 26, January 2001, Bhuj earthquake are sparse, the distribution of macroseismic effects can provide important constraints on the mainshock ground motions. We compiled available news accounts describing damage and other effects and interpreted them to obtain modified Mercalli intensities (MMIs) at >200 locations throughout the Indian subcontinent. These values are then used to map the intensity distribution throughout the subcontinent using a simple mathematical interpolation method. Although preliminary, the maps reveal several interesting features. Within the Kachchh region, the most heavily damaged villages are concentrated toward the western edge of the inferred fault, consistent with western directivity. Significant sediment-induced amplification is also suggested at a number of locations around the Gulf of Kachchh to the south of the epicenter. Away from the Kachchh region, intensities were clearly amplified significantly in areas that are along rivers, within deltas, or on coastal alluvium, such as mudflats and salt pans. In addition, we use fault-rupture parameters inferred from teleseismic data to predict shaking intensity at distances of 0–1000 km. We then convert the predicted hard-rock ground-motion parameters to MMI by using a relationship (derived from Internet-based intensity surveys) that assigns MMI based on the average effects in a region. The predicted MMIs are typically lower by 1–3 units than those estimated from news accounts, although they do predict near-field ground motions of approximately 80%g and potentially damaging ground motions on hard-rock sites to distances of approximately 300 km. For the most part, this discrepancy is consistent with the expected effect of sediment response, but it could also reflect other factors, such as unusually high building vulnerability in the Bhuj region and a tendency for media accounts to focus on the most dramatic damage, rather than the average effects. The discrepancy may also be partly attributable to the inadequacy of the empirical relationship between MMI and peak ground acceleration (PGA), when applied to India. The MMI–PGA relationship was developed using data from California earthquakes, which might have a systematically different stress drop and therefore, a different frequency content than intraplate events. When a relationship between response spectra and MMI is used, we obtain larger predicted MMI values, in better agreement with the observations.
机译:尽管在2001年1月26日发生的布杰地震中,局部和区域性的仪器记录很少,但宏观地震影响的分布可能对主震地面运动提供重要的限制。我们汇总了描述损坏和其他影响的可用新闻帐户,并对其进行了解释,以在整个印度次大陆的200多个位置获得修正的Mercalli强度(MMI)。然后,使用简单的数学插值方法将这些值用于映射整个次大陆的强度分布。这些地图虽然是初步的,但是却揭示了一些有趣的功能。在Kachchh地区,受破坏最严重的村庄集中在推断断层的西部边缘,与西部方向一致。在震中南部以南的卡奇赫湾附近,也有大量沉积物引起的放大现象。远离卡奇地区,沿河,三角洲内或沿海冲积层(如滩涂和盐田)上的强度明显增强。此外,我们使用从远震数据推断出的断层破裂参数来预测0-1000 km距离处的震动强度。然后,我们使用一种关系(根据基于Internet的强度调查得出)将预测的硬岩地面运动参数转换为MMI,该关系根据区域中的平均效果分配MMI。尽管预测的MMI确实预测了大约80%g的近场地面运动,并且可能破坏硬岩场地上的地面运动到大约300 km的距离,但它们通常比新闻帐户的估计值低1-3个单位。在大多数情况下,这种差异与沉积物响应的预期效果是一致的,但它也可能反映了其他因素,例如普吉地区异常高的建筑脆弱性,媒体倾向于集中关注最严重的破坏,比平均效果。当应用于印度时,差异也可能部分归因于MMI与峰值地面加速度(PGA)之间的经验关系不足。 MMI-PGA关系是使用来自加利福尼亚地震的数据开发的,该数据可能会系统地具有不同的应力降,因此其频率含量与板内事件不同。当使用响应谱和MMI之间的关系时,我们获得了较大的MMI预测值,与观察结果更好地吻合。

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