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首页> 外文期刊>Natural Hazards and Earth System Sciences Discussions >The mudflow disaster at Villa Santa Lucía in Chilean Patagonia understandings and insights derived from numerical simulation and postevent field surveys
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The mudflow disaster at Villa Santa Lucía in Chilean Patagonia understandings and insights derived from numerical simulation and postevent field surveys

机译:智利巴塔哥尼亚Villa SantaLucía的泥浆灾难,从数值模拟和后勤田间调查中讲解和洞察力

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The evaluation of potential landslides in mountain areas is a very complex process. Currently, event understanding is scarce due to information limitations. Identifying the whole chain of events is not a straightforward task, and the impacts of mass-wasting processes depend on the conditions downstream of the origin. In this paper, we present an example that illustrates the complexities in the evaluation of the chain of events that may lead to a natural disaster. On 16?December?2017, a landslide occurred in the Yelcho mountain range (southern Chile). In that event, 7?million?m3 of rocks and soil fell on the Yelcho glacier, depositing 2?million?m3 on the glacier terminal, and the rest continued downstream, triggering a mudflow that hit Villa Santa Lucía in ChileanPatagonia and killing 22?people. The complex event was anticipated in theregion by the National Geological and Mining Survey (Sernageomin in Spanish). However, the effects of the terrain characteristics along therun-out area were more significant than anticipated. In this work, weevaluate the conditions that enabled the mudflow that hit Villa Santa Lucía.We used the information generated by Sernageomin's professionals after themudflow. We carried out geotechnical tests to characterize the soil. Wesimulated the mudflow using two hydrodynamic programs (r.avaflow and Flo-2D)that can handle the rheology of the water–soil mixture. Our results indicate that the soil is classified as volcanic pumices. Thistype of soil can be susceptible to the collapse of the structure whensubjected to shearing (molding), flowing as a viscous liquid. From thenumerical modeling, we concluded that r.avaflow performs better than Flo-2D.The mudflow was satisfactorily simulated using a water content in themixture ranging from 30 % to 40 %, which would have required a source of about 3?million?m3 of water. Coupling the simulations and the soiltests that we performed, we estimated that in the area scoured by themudflow, there were probably around 2 800 000 m3 of water within the soil. Therefore, the conditions of the valley were crucial to enhancing the impacts of the landslide. This result is relevant because it highlights the importance of evaluating the complete chain of events to map hazards. We suggest that in future hazard mapping, geotechnical studies in combination with hydrodynamic simulation should be included, in particular when human lives are at risk.
机译:山区潜在滑坡的评价是一个非常复杂的过程。目前,由于信息限制,事件理解是稀缺的。识别整个事件链不是直截了当的任务,并且批量浪费过程的影响取决于原产地下游的条件。在本文中,我们提出了一个示例,其说明了评估可能导致自然灾害的事件链中的复杂性。 16月12月?2017年,山脉山脉(智利南部)发生了山体滑坡。在那个事件中,7?百万?M3的岩石和土壤落在百年冰川上,在冰川码头上存放2?M3,并且其余的下游持续下游,触发奇利安盖塔尼亚别墅别墅的泥泞雨水和杀戮22?人们。在国家地质和采矿调查(西班牙语中的Sernageomin)预计复杂的事件。然而,沿着传出区域的地形特性的影响比预期更重要。在这项工作中,旨在使距离SantaLucía的泥泞的条件veevaluate。我们使用了Sernageomin专业人员在TheMudfflow之后产生的信息。我们进行了岩土考试以表征土壤。使用两个流体动力学程序(R.avaFlow和Flo-2D)致力于处理水土混合物的流变学的泥流。我们的结果表明土壤被归类为火山散发件。土壤的型可以易于对剪切(成型)的结构的塌陷来影响,以粘性液体流动。从Doxumerical建模开始,我们得出结论,R.avaFlow比FLO-2D更好地表现优于FLO-2D。使用30%至40%的含水量的含水量令人满意地模拟泥石流,这需要一个约3?百万?M3的来源水。耦合我们所执行的模拟和索赔,我们估计在由Themudflow彻底灌注的区域中,土壤中可能有大约2个800 000 m3的水。因此,谷的条件至关重要,以提高滑坡的影响。此结果是相关的,因为它强调了评估完整事件链以映射危险的重要性。我们建议,在未来的危险映射中,应包括与流体动力学模拟的岩土性研究,特别是当人类生命处于危险之中。

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