Field Surveys and Numerical Modeling of Pumiceous Debris Flows in Amalfi Coast (Italy)

M. Papa, L. Sarno, F. Ciervo, S. Barba, F. Fiorillo, M. Limongiello
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引用次数: 2

Abstract

The first objective of the work is to test a cost-effective tool for the collection of debris flows (DF) field data such as volumes, peak flow depths and deposit depths. Secondly, we show how these data can be used for the calibration of a depth-averaged propagation model. The case study is a DF of pumiceous sediments, occurred in the Amalfi Coast (Southern Italy) in October 2013. The DF path is a steep channel, ending in a small debris fan delimitated by a gabion wall. The risk is high because DFs, having a return period of just few years, overtop the wall and hit a busy road. Both terrestrial laser scanner (TLS) and photogrammetric techniques were employed to survey the topography, before and after the event under study. The images of the channel were taken from an unmanned aerial vehicle (UAV). Digital terrain models (DTM) were obtained pre and post event while the traces left by the DF along the channel banks allowed the estimation of the peak flow depths.A finite volume two-dimensional numerical code (FLATModel), based on shallow-water equations, was used for modelling the propagation and deposition of the DF under study. Both Voellmy and pure Coulomb friction resistance laws were tested. The numerically predicted deposit was compared to the post event DTM. Such comparisons showed a good agreement in terms of both depths and shape of deposit. The calibrated model could be used to predict the DFs run-out distances in similar contexts.
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意大利阿马尔菲海岸浮质泥石流野外调查与数值模拟
这项工作的第一个目标是测试一种具有成本效益的工具,用于收集泥石流(DF)现场数据,如体积、峰值流深度和沉积物深度。其次,我们展示了如何将这些数据用于深度平均传播模型的校准。案例研究是2013年10月发生在阿马尔菲海岸(意大利南部)的浮质沉积物DF。DF路径是一个陡峭的通道,结束于一个由格宾墙划定的小碎屑扇。风险很高,因为df只有几年的回报期,越过了城墙,撞上了繁忙的道路。采用地面激光扫描仪(TLS)和摄影测量技术对研究事件前后的地形进行了测量。该航道的图像是由一架无人驾驶飞行器(UAV)拍摄的。在事件前后获得了数字地形模型(DTM),而DF沿河道留下的痕迹允许估计峰值流深度。采用基于浅水方程的有限体积二维数值模拟(FLATModel)方法,对所研究的DF的传播和沉积过程进行了模拟。测试了伏尔米摩擦阻力定律和纯库仑摩擦阻力定律。将数值预测的沉积物与事件后的DTM进行了比较。这种比较表明,在矿床的深度和形状方面都有很好的一致性。校正后的模型可用于预测类似环境下的df跑出距离。
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