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首页> 外文期刊>Natural Hazards >Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with an empirical model of debris flow
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Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with an empirical model of debris flow

机译：通过基于物理的滑坡灾害模型与泥石流经验模型相结合的群众运动来识别受灾地区

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摘要

In tropical areas, mass movements are common phenomena, especially during periods of heavy rainfall, which frequently take place in the summer season. These phenomena have caused loss of life and serious damage to infrastructure and properties. The most prominent of these phenomena are landslides that can produce debris flows. Thus, this article aims at determining affected areas using a model to predict landslide prone areas (SHALSTAB) combined with an empirical model designed to define the debris flow travel distance and area of deposition. The methodology of this work consists of the following steps: (a) elaboration of a digital elevation model (DEM), (b) application of the deterministic SHALSTAB model to locate the landslide prone areas, (c) identification of the debris flow travel distance and area of deposition, and (d) mapping of the affected areas (landslides and debris flows). This work was developed in an area in which many mass movements occurred after intense rainfall during the summerseason (February 1996) in the state of Rio de Janeiro, southeast Brazil. All of the scars produced by that event were mapped, allowing for validation of the applied models. The model results show that the mapped landslide locations can adequately be simulated by the model.
机译：在热带地区，群众运动是普遍现象，尤其是在夏季经常发生的大雨期间。这些现象已造成人员伤亡，并严重损害了基础设施和财产。这些现象中最突出的是可能产生泥石流的滑坡。因此，本文旨在结合模型来确定泥石流传播距离和沉积面积，使用预测滑坡易发区域的模型（SHALSTAB）确定受影响区域。这项工作的方法包括以下步骤：（a）制定数字高程模型（DEM），（b）应用确定性SHALSTAB模型来定位滑坡易发区，（c）识别泥石流的行进距离和沉积面积，以及（d）绘制受影响区域的地图（滑坡和泥石流）。这项工作是在巴西东南部里约热内卢州的夏季（1996年2月）暴雨过后发生许多群众运动的地区开展的。对该事件产生的所有疤痕进行了映射，从而可以验证所应用的模型。模型结果表明，该模型可以对模拟的滑坡位置进行充分模拟。

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