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首页> 外文期刊>Engineering Geology >Identification of hazard conditions for mudflow occurrence by hydrological model Application of FLaIR model to Sarno warning system
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Identification of hazard conditions for mudflow occurrence by hydrological model Application of FLaIR model to Sarno warning system

机译:用水文模型识别泥石流发生的危险条件FLaIR模型在萨尔诺预警系统中的应用

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摘要

Mathematical models for forecasting landslides and mudflow movements triggered by heavy rainfalls are useful tools to develop warning systems and hazard mitigation strategy for loss reduction. In the present paper, an application of Forecasting of Landslides Induced by Rainfalls (FLaIR) hydrological model, correlating the rainfall amount and landslide or mudflow movement occurrences, will be performed. Model application presented here refers to the mudflows of Sarno, Southern Italy, and is based on hourly precipitation data available from a real-time rain gauge installed immediately after the catastrophic event that occurred on May 1998. The application is extended from October 1998 to May 2002. The main objective is to perform a backanalysis in order to verity the reliability of the proposed scheme for use in a warning system. Among the most interesting results of the application, the relatively few false alarms for populations given by the model may be highlighted. The FLaIR model is more useful when it is integrated with a probabilistic model for forecasting precipitation depths during a storm event at an hourly scale. By stochastic modelling of hourly precipitation, it is possible to estimate the probability of reaching the alarm threshold before allowing civil protection actions.
机译:预测大雨引发的滑坡和泥石流运动的数学模型是开发预警系统和减轻灾害风险的减少损失策略的有用工具。在本文中,将应用降雨引起的滑坡预测(FLaIR)水文模型,将降雨量与滑坡或泥石流运动发生相关联。此处提供的模型应用程序是指意大利南部萨尔诺的泥流,并基于可从1998年5月灾难性事件发生后立即安装的实时雨量计获得的每小时降水量数据。该应用程序从1998年10月扩展到5月2002年。主要目标是执行反向分析,以验证所提出的方案在预警系统中的可靠性。在该应用程序最有趣的结果中,可以突出显示该模型给出的针对人口的相对较少的虚警。将FLaIR模型与概率模型集成在一起,以小时为单位预测暴风雨期间的降水深度时,它会更加有用。通过每小时降水的随机建模,可以在允许采取民防措施之前估计达到警报阈值的可能性。

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