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Human vulnerability to quick shallow landslides along road: fleeing process and modeling

机译:人为易受道路快速浅层滑坡影响的脆弱性:逃离过程和建模

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摘要

Throughout the history, many lives have been lost due to landslides. Understanding the process of human flight during landslide events is important in assessing the risks posed by future landslides. This study proposes a model for simulating human flight from a quick shallow landslide along a road, quantifies the flight success rate, and identifies the crucial variables that impact flight efficiency. A questionnaire survey was undertaken along a stretch of highway near Yingxiu, China to collect information regarding human responses and behavior in the face of landslide events. The factors influencing human flight are classified into factors related to the evacuees, the landslide intensity, and the flight path. Subsequently, a flight model is proposed to simulate the movements of people randomly located along a road threatened by landslides. Various components of "available time" and "demand time" for escaping from the landslide affected area are treated as random variables. Based on this model, probability analysis is conducted to estimate the flight success rates of the people at risk when fleeing from landslides of various intensities. Sensitivity analysis shows that the pre-failure time and the response time are the most important factors in the flight process. Finally, comparison between the flight success rates from two existing methods and those from the new model is made.
机译:纵观历史,由于山体滑坡,许多人丧生。了解滑坡事件中人类逃逸的过程对于评估未来滑坡带来的风险非常重要。这项研究提出了一个模型,用于模拟人在沿道路的快速浅层滑坡中的飞行,量化飞行成功率,并确定影响飞行效率的关键变量。在中国映秀附近的一段高速公路上进行了问卷调查,以收集有关面对滑坡事件的人类反应和行为的信息。影响人类飞行的因素分为与疏散人员,滑坡强度和飞行路径有关的因素。随后,提出了一个飞行模型来模拟随机遭受滑坡威胁的道路上的人员的运动。从滑坡影响区逃逸的“可用时间”和“需求时间”的各个组成部分被视为随机变量。在此模型的基础上,进行了概率分析,以估计在各种强度的山体滑坡中逃逸时处于危险中的人的飞行成功率。灵敏度分析表明,故障前时间和响应时间是飞行过程中最重要的因素。最后,将两种现有方法的飞行成功率与新模型的飞行成功率进行了比较。

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