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A new classification of earthquake-induced landslide event sizes based on seismotectonic, topographic, climatic and geologic factors

机译:基于地震构造,地形,气候和地质因素的地震诱发滑坡事件大小的新分类

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Background This paper reviews the classical and some particular factors contributing to earthquake-triggered landslide activity. This analysis should help predict more accurately landslide event sizes, both in terms of potential numbers and affected area. It also highlights that some occurrences, especially those very far from the hypocentre/activated fault, cannot be predicted by state-of-the-art methods. Particular attention will be paid to the effects of deep focal earthquakes in Central Asia and to other extremely distant landslide activations in other regions of the world (e.g. Saguenay earthquake 1988, Canada). Results The classification of seismically induced landslides and the related ‘event sizes’ is based on five main factors: ‘Intensity’, ‘Fault factor’, ‘Topographic energy’, ‘Climatic background conditions’, ‘Lithological factor’. Most of these data were extracted from papers, but topographic inputs were checked by analyzing the affected region in Google Earth. The combination and relative weight of the factors was tested through comparison with well documented events and complemented by our studies of earthquake-triggered landslides in Central Asia. The highest relative weight (6) was attributed to the ‘Fault factor’; the other factors all received a smaller relative?weight (2–4). The high weight of the ‘Fault factor’ (based on the location in/outside the mountain range, the fault type and length) is strongly constrained by the importance of the Wenchuan earthquake that, for example, triggered far more landslides in 2008 than the Nepal earthquake in 2015: the main difference is that the fault activated by the Wenchuan earthquake created an extensive surface rupture within the Longmenshan Range marked by a very high topographic energy while the one activated by the Nepal earthquake ruptured the surface in the frontal part of the Himalayas where the slopes are less steep and high. Finally, the calibrated factor combination was applied to almost 100 other earthquake events for which some landslide information was available. This comparison revealed the ability of the classification to provide a reasonable estimate of the number of triggered landslides and of the size of the affected area. According to this prediction, the most severe earthquake-triggered landslide event of the last one hundred years would actually be the Wenchuan earthquake in 2008 followed by the 1950 Assam earthquake in India – considering that the dominating role of the Wenchuan earthquake data (including the availability of a complete landslide inventory) for the weighting of the factors strongly influences and may even bias this result. The strongest landslide impacts on human life in recent history were caused by the Haiyuan-Gansu earthquake in 1920 – ranked as third most severe event according to our classification: its size is due to a combination of high shaking intensity, an important ‘Fault factor’ and the extreme susceptibility of the regional loess cover to slope failure, while the surface morphology of the affected area is much smoother than the one affected by the Wenchuan 2008 or the Nepal 2015 earthquakes. Conclusions The main goal of the classification of earthquake-triggered landslide events is to help improve total seismic hazard assessment over short and longer terms. Considering the general performance of the classification-prediction, it can be seen that the prediction either fits or overestimates the known/observed number of triggered landslides for a series of earthquakes, while it often underestimates the size of the affected area. For several events (especially the older ones), the overestimation of the number of landslides can be partly explained by the incompleteness of the published catalogues. The underestimation of the extension of the area, however, is real – as some particularities cannot be taken into account by such a general approach: notably, we used the same seismic intensity attenuation for all events, while attenuation laws are dependent on regional tectonic and geological conditions. In this regard, it is likely that the far-distant triggering of landslides, e.g., by the 1988 Saguenay earthquake (and the related extreme extension of affected area) is due to a very low attenuation of seismic energy within the North American plate. Far-distant triggering of landslides in Central Asia can be explained by the susceptibility of slopes covered by thick soft soils to failure under the effect of low-frequency shaking induced by distant earthquakes, especially by the deep focal earthquakes in the Pamir – Hindukush seismic region. Such deep focal and high magnitude (??7) earthquakes are also found in Europe, first of all in the Vrancea region (Romania). For this area as well as for the South Tien Shan we computed possible landslide event sizes related to some future earthquake scenarios.
机译:背景技术本文回顾了地震触发的滑坡活动的经典因素和某些特殊因素。这种分析应有助于更准确地预测滑坡事件的规模,无论是潜在数量还是受影响面积。它还强调指出,某些事件,尤其是距震源/激活断层很远的事件,无法通过最新方法进行预测。将特别注意中亚的深部地震的影响以及世界其他地区其他极端遥远的滑坡活动(例如加拿大的Saguenay地震1988)。结果地震诱发滑坡的分类和相关的“事件大小”是基于五个主要因素:“强度”,“故障因素”,“地形能量”,“气候背景条件”,“岩性因素”。这些数据大多数是从论文中提取的,但是通过分析Google Earth中受影响的区域来检查地形输入。通过与有据可查的事件进行比较,测试了这些因素的组合和相对权重,并通过我们对中亚地震触发的滑坡的研究进行了补充。相对权重最高(6)归因于“故障因素”;其他因素均具有较小的相对权重(2-4)。 “断层因子”的高权重(基于山脉内/外的位置,断层类型和长度)受到汶川地震重要性的极大限制,例如,汶川地震在2008年引发的滑坡比地震多得多。 2015年的尼泊尔地震:主要区别在于汶川地震引发的断层在龙门山山脉内造成了一个巨大的地表破裂,其地势能量非常高,而尼泊尔地震引发的一次破裂则使龙门山前缘的地表破裂。喜马拉雅山,那里的山坡不那么陡峭,而且很高。最后,将校准因子组合应用于几乎100个其他地震事件,这些事件中可以获得一些滑坡信息。这种比较显示了分类的能力,可以对触发的滑坡的数量和受影响区域的大小提供合理的估计。根据这一预测,考虑到汶川地震数据的主要作用(包括可获得性),过去一百年来最严重的地震触发的滑坡事件实际上是2008年的汶川地震,其次是1950年的印度阿萨姆邦地震。完整的滑坡清单)对这些因素的加权影响很大,甚至可能使这一结果产生偏差。 1920年海原-甘肃地震是近代史上对人类生活影响最大的滑坡-根据我们的分类,滑坡是全球第三大严重地震:其大小是由于高震动强度(重要的“断层因素”)共同作用的结果区域黄土覆盖层对边坡破坏的极度敏感性,而受影响区域的表面形态要比2008年汶川或2015年尼泊尔地震所影响的表面形态光滑得多。结论地震触发的滑坡事件分类的主要目标是帮助改善短期和长期的总体地震灾害评估。考虑到分类预测的一般性能,可以看出该预测适合或高估了一系列地震触发/滑坡的已知/观测次数,而它却常常低估了受影响区域的大小。对于一些事件(尤其是较旧的事件),过高估计的滑坡数量可以部分归因于已出版目录的不完整。然而,低估了该地区的延伸是真实的–因为无法通过这种通用方法来考虑某些特殊性:值得注意的是,我们对所有事件都使用了相同的地震烈度衰减,而衰减规律取决于区域构造和地质条件。在这方面,很可能是由1988年萨格奈地震(以及受影响区域的相关极端扩展)引起的远距离滑坡触发,是由于北美板块内地震能量的衰减很小。中亚地区滑坡的远距离触发可以解释为:在远处地震引起的低频振动的影响下,特别是帕米尔–兴都库什地震区的深部震源,厚厚的软土所覆盖的斜坡易受破坏的影响。 。在欧洲也发现了这样的深度震源和高震级(>?>?7)地震,首先是在罗马尼亚的Vrancea地区。对于该地区以及南天山,我们计算了与某些未来地震情景相关的可能的滑坡事件大小。

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