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GIS-assisted modelling for debris flow hazard assessment based on the events of May 1998 in the area of Sarno, Southern Italy. II: Velocity and Dynamic Pressure

机译:基于1998年5月意大利南部萨尔诺地区事件的地理信息系统辅助的泥石流灾害评估模拟。 II:速度和动态压力

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摘要

The velocity and dynamic pressure of debris flows are critical determinants of the impact of these natural phenomena on infrastructure. Therefore, the prediction of these parameters is critical for hazard assessment and vulnerability analysis. We present here an approach to predict the velocity of debris flows on the basis of the energy line concept. First, we obtained empirically and field-based estimates of debris flow peak discharge, mean velocity at peak discharge and velocity, at channel bends and within the fans of ten of the debris flow events that occurred in May 1998 in the area of Sarno, Southern Italy. We used this data to calibrate regression models that enable the prediction of velocity as a function of the vertical distance between the energy line and the surface. Despite the complexity in morphology and behaviour of these flows, the statistical fits were good and the debris flow velocities can be predicted with an associated uncertainty of less than 30% and less than 3 m s-1. We wrote code in Visual Basic for Applications (VBA) that runs within ArcGIS® to implement the results of these calibrations and enable the automatic production of velocity and dynamic pressure maps. The collected data and resulting empirical models constitute a realistic basis for more complex numerical modelling. In addition, the GIS implementation constitutes a useful decision-support tool for real-time hazard mitigation. Copyright © 2008 John Wiley & Sons, Ltd.
机译:泥石流的速度和动压是这些自然现象对基础设施影响的关键决定因素。因此,这些参数的预测对于危害评估和脆弱性分析至关重要。我们在这里提出一种基于能谱线概念预测泥石流速度的方法。首先,我们获得了基于经验和现场的泥石流峰值排放,峰值排放的平均速度,通道弯道处和扇形内部扇形内部速度的平均速度的估计值,这些事件发生于1998年5月,位于南部萨诺地区意大利。我们使用这些数据来校准回归模型,该模型能够根据能量线和表面之间的垂直距离来预测速度。尽管这些流动的形态和行为很复杂,但统计拟合良好,可以预测泥石流速度,且相关不确定性小于30%且小于3 m s-1。我们在Visual Basic for Applications(VBA)中编写了代码,该代码在ArcGIS®中运行,以实现这些校准的结果并实现速度和动态压力图的自动生成。收集的数据和所得的经验模型构成了更复杂的数值建模的现实基础。此外,GIS的实施为实时减轻灾害提供了有用的决策支持工具。版权所有©2008 John Wiley&Sons,Ltd.

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