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Tropical Storm-Induced Landslide Potential Using Combined Field Monitoring and Numerical Modeling

机译:结合野外监测和数值模拟的热带风暴诱发滑坡潜势

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摘要

When heavy rainfall, such as that associated with tropical storms, falls on steep hillsides, shallow landslides are often one of the damaging consequences. To assess landslide potential from heavy rainfall, a strategy of combined numerical simulation and field monitoring of variably saturated hillslope conditions is developed. To test the combined method, hillslope hydrologic data from paired field monitoring sites in western North Carolina are examined. The hydrologic data collected from the field monitoring site where no shallow landslide has occurred is used to identify and calibrate the hydromechanical parameters used in a numerical ground water flow model. The identified parameters are then used to simulate landslide potential at the two hillslopes during heavy rainfall associated with hurricanes Frances and Ivan (HFI) that impacted western North Carolina in 2004. Results identify the timing of instability at the shallow landslide site and show that the stable site remains stable during rainfall associated with the HFI tropical storms. Thus, the results demonstrate the effectiveness of combined numerical modeling and field monitoring to evaluate landslide potential under variably saturated conditions.
机译:当大雨(例如与热带风暴有关的雨)落在陡峭的山坡上时,浅层滑坡往往是破坏性后果之一。为了评估暴雨造成的滑坡潜力,开发了一种将数值模拟与现场监测相结合的可变饱和山坡条件的策略。为了测试组合方法,检查了北卡罗莱纳州西部成对现场监测点的山坡水文数据。从没有发生浅层滑坡的现场监测点收集的水文数据被用于识别和校准数值地下水流模型中使用的水力学参数。然后将确定的参数用于模拟2004年袭击北卡罗来纳州西部的弗朗西丝和伊凡飓风(HFI)引发的强降雨期间两个山坡上的滑坡潜力。结果确定了浅层滑坡站点的失稳时间,并表明了稳定的时间。在与HFI热带风暴有关的降雨期间,该站点保持稳定。因此,结果证明了结合数值模拟和现场监测来评估在各种饱和条件下的滑坡潜力的有效性。

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