PROPOSAL OF TERRITORIAL PARAMETERS FOR SEISMIC HAZARD ASSESSMENT IN PISCO, PERU

Luis Izquierdo-Horna, Patricia Aranibar
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Abstract

During the last few decades, Peru has experienced numerous natural phenomena (e.g., earthquakes, tsunamis, debris flows, etc.) that have caused considerable economic and human losses. However, the most prevalent phenomenon in Peru is earthquakes due to its geographic location (e.g., Ancash 1970 (7.9 Mw), Pisco 2007 (7.9 Mw), Arequipa 2013 (7.1 Mw), etc.). Therefore, in this research, we focus on improving the techniques for identifying the level of seismic hazard through a set of parameters specific to the territorial conditions. Thus, due to the antecedents presented in the city of Pisco, it has been chosen as a case study. In this sense, a systematic review of parameters and techniques used to determine the level of seismic hazard of a given sector was carried out. Then, the availability of information on the parameters previously identified was evaluated in order to obtain that the most representative variables of the territory are: soil type, slope and soil liquefaction. We consider that this set of parameters is compatible with machine learning techniques or any other method established by the corresponding authorities related to risk and disaster management. Finally, these parameters are applicable and reproducible at any territorial scale.
秘鲁皮斯科地震危险性评估的领土参数建议
在过去几十年中,秘鲁经历了许多自然现象(例如,地震、海啸、泥石流等),造成了相当大的经济和人员损失。然而,由于其地理位置,秘鲁最常见的现象是地震(例如,安卡什1970年(7.9兆瓦),皮斯科2007年(7.9兆瓦),阿雷基帕2013年(7.1兆瓦)等)。因此,在本研究中,我们着重于通过一组特定于地域条件的参数来改进识别地震危险级别的技术。因此,由于在皮斯科市出现的先例,它被选为案例研究。从这个意义上说,对用于确定某一地区地震危险程度的参数和技术进行了系统的审查。然后,对先前确定的参数信息的可用性进行了评估,以获得该领土最具代表性的变量是:土壤类型、坡度和土壤液化。我们认为这组参数与机器学习技术或与风险和灾害管理相关的相应当局建立的任何其他方法兼容。最后,这些参数在任何地域尺度上都是适用和可复制的。
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