众包数据在快速评估大地震影响方面的潜力:2023 年土耳其 Kahramanmaraş-Pazarcık 7.8 级地震

R. Bossu, Maren Böse, R. Steed, David J. Wald
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引用次数: 0

摘要

对大地震进行可靠、快速的影响评估是一项挑战,因为很难快速确定断层的几何形状,进而确定摇晃强度的空间分布。在这次对土耳其 M 7.8 Kahramanmaraş-Pazarcık 地震的回顾性研究中,我们评估了通过 LastQuake 系统众包的目击者观察如何改进此类评估。这些数据包括描述当地震动或破坏程度的有感报告以及人工验证的地理定位图像。在本研究的第一部分,通过与独立测定的地震烈度进行比较,验证了从有感报告中得出宏观地震烈度值(尤其是高地震烈度值)的方法。比较结果证实,从有感报告中得出的最大地震烈度一般不会超过 VIII。通过使用有感报告评估暴露在高烈度下的人数并假设为点源,可以在几小时内估计出 3000 人的死亡人数。然而,由于采用了点源近似值,这一估计值被低估了;地理定位图像也证实了这一低估,图像显示震中距离的破坏程度很高,远远超出了圆形等距法预测的程度。不过,利用美国地质调查局的全球地震应急即时评估(PAGER)死亡损失建模系统,可以通过将有感地震报告纳入 ShakeMaps 计算,或使用有限断层破裂探测器软件从有感地震报告中得出的精细震源(此处为线震源)模型,从该事件的 ShakeMaps 中得出更好的估算结果。纳入断层几何图形后,在确定原点后 10 分钟内收集的数据就能估算出死亡人数,这与最终的 PAGER 警报级别和报告的死亡人数一致,而这两者都是在几天后才知道的。虽然更多的工作将有助于评估推导出的断层几何图形的可靠性,但在大量收集断层几何图形的地区,地震发生后 10 分钟内收集到的有感报告可用于大幅改进当前的死亡人数估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Potential of Crowdsourced Data for the Rapid Impact Assessment of Large Earthquakes: The 2023 M 7.8 Kahramanmaraş-Pazarcık, Türkiye, Earthquake
Reliable and rapid impact assessment for large earthquakes is a challenge because it is difficult to rapidly determine the fault geometry and thus the spatial distribution of shaking intensities. In this retrospective study of the M 7.8 Kahramanmaraş-Pazarcık, Türkiye, earthquake, we evaluate how eyewitness observations crowdsourced through the LastQuake system can improve such assessments. These data consist of felt reports describing the local level of shaking or damage and manually validated geolocated imagery. In the first part of this study, the methods used to derive macroseismic intensity values from felt reports, particularly for high values, are validated by comparison with independently determined intensities. This comparison confirms that the maximum intensity that can be derived from felt reports does not generally exceed VIII. A fatality estimate of 3000 could be made within a few hours by evaluating the number of people exposed to high intensities using the felt reports and assuming a point source. However, this estimate was known to be an underestimate because of the point-source approximation; this underestimate was also confirmed by the geolocated imagery showing high levels of damage at epicentral distances well beyond those predicted by circular isoseismals. However, improved estimates could have been derived from the event’s ShakeMaps using the U.S. Geological Survey Prompt Assessment of Global Earthquakes for Response (PAGER) fatality loss-modeling system, either by incorporating the felt reports into the ShakeMaps computation or using, in addition, a finite-source (here line-source) model derived from the felt reports using the Finite-fault rupture Detector software. The inclusion of fault geometry would have resulted in a fatality estimate with data collected within 10 min of the origin determination, which was consistent with the final PAGER alert level and the reported death toll that were both only known days later. Although more work would be helpful to assess the reliability of the derived fault geometry, in regions where they are collected in large numbers, felt reports collected within 10 min of the earthquake can be used to substantially improve current fatality estimates.
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