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首页> 外文期刊>International Journal of Geomatics and Geosciences >Simulation and modeling of debris flows using satellite derived data: A case study from Kedarnath Area
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Simulation and modeling of debris flows using satellite derived data: A case study from Kedarnath Area

机译:利用卫星衍生数据对泥石流进行模拟和建模:以凯达纳斯地区为例

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Comprehensive assessment of landslide hazard requires process based modeling using numerical simulation methods. The present study aims to focus on analysis of landslides/debris flow movements and simulate landslides that occurred in Kedarnath area in June 2013. Although not widely discussed, these landslides were the prime cause of river blockade that contributed significantly in glacial lake outburst flood (GLOF) related disaster in and around Kedarnath. In the present study, the simulation was attempted by numerical modeling using Rapid Mass Movement Software (RAMMS). The algorithm is based on Voellmy frictional (dry and turbulent frictional coefficients, μ and ξ) parameters of debris flow with release area that can be identified on high resolution satellite images and derived DEM like Cartosat-1 DEM. Once the event is simulated model provides information on flow 1) Velocity, 2) Height, 3) Momentum, and 4) Pressure along the entrainment path.? The main emphasis was to understand on how closely numerical simulation predicted the attributes of the landslides/debris flow that contributed to the unprecedented disaster in Kedarnath. This study revealed that simulated flow height at base of the entrainment to vary from 1m to 6m and flow velocity varying from 3 to 7m/s. These vital output parameters can be used to provide insight of the event and extent of run out zone of future potential flows. Thus, this work bespeaks that numerical simulation modeling is capable of emulating natural events and outputs can be used for mitigation measures.
机译:滑坡灾害的综合评估需要使用数值模拟方法进行基于过程的建模。本研究的重点是分析滑坡/泥石流运动并模拟2013年6月在Kedarnath地区发生的滑坡。尽管没有广泛讨论,但这些滑坡是造成河道阻塞的主要原因,而河道阻塞是造成冰川湖爆发洪水(GLOF)的重要因素)与Kedarnath及其周边地区相关的灾难。在本研究中,通过使用快速质量运动软件(RAMMS)进行数值建模尝试进行仿真。该算法基于具有释放区域的泥石流的Voellmy摩擦(干摩擦系数和湍动摩擦系数,μ和ξ)参数,这些参数可以在高分辨率卫星图像和派生出的DEM(如Cartosat-1 DEM)上识别。模拟事件后,模型将提供有关流量的信息:1)速度,2)高度,3)动量和4)沿着夹带路径的压力。主要的重点是要了解数值模拟在多大程度上预测了滑坡/泥石流的属性,这些滑坡/泥石流导致了Kedarnath前所未有的灾难。这项研究表明,在夹带底部的模拟流动高度在1m至6m之间变化,流速在3至7m / s之间变化。这些重要的输出参数可用于提供事件的了解以及未来潜在流量超出范围的程度。因此,这项工作表明数值模拟建模能够模拟自然事件,并且输出可用于缓解措施。

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