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Numerical assessment of flood hazard risk to people and vehicles in flash floods

机译:山洪暴发对人员和车辆的洪灾危险数值评估

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摘要

Flash flooding often leads to extremely dangerous and sometimes catastrophic conditions in rivers due to characteristics such as: short timescales, the limited opportunity for issuing warnings, and the frequent high average mortality. Many past extreme flood events have been accompanied by flash floods, and they have also been one of the main sources of serious loss of human life among the world's worst natural disasters. Flash floods can also cause large loss of property, such as the recent floods in Pakistan and the damage to vehicles in the 2004 Boscastle flood in the UK. It is therefore desirable to be able to assess the degree of safety of people and vehicles during flash floods using numerical models. In the current study, an algorithm for assessing the flood hazard risk to people and vehicles has been integrated into an existing two-dimensional hydrodynamic model capable of simulating flash floods. In the algorithm, empirical curves relating water depths and corresponding critical velocities for children and adults, developed by previous researchers, are used to assess the degree of people safety, and a new incipient velocity formula is used to evaluate the degree of vehicle safety. The developed model was then applied to three real case studies, including: the Glasgow and Boscastle floods in the UK, and the Malpasset dam-failure flood in France. According to the analysis of model predictions, the following conclusions have been obtained: (ⅰ) simulated results for the Glasgow flood showed that children would be in danger of standing in the flooded streets in a small urban area; (ⅱ) simulations for the Boscastle flood indicated that vehicles in the car park would be flushed away by the flow with high velocity, which indirectly testified the predictive accuracy of the incipient formula for vehicles; and (ⅲ) simulations for the Malpasset dam-failure flood showed that the adopted method for the assessment of people safety was applicable, and some local people living below the dam would have been swept away, which corresponded well with the report of casualties. Therefore, the developed integrated model can be used to evaluate the flood hazard risk to people and vehicles in flash floods, and these predictions can be used in flood risk management.
机译:由于以下特点,山洪暴发通常导致河流极为危险,有时甚至是灾难性的情况:时间尺度短,发出警告的机会有限以及频繁的高平均死亡率。过去发生的许多极端洪水事件都伴随着山洪暴发,它们也是世界上最严重的自然灾害中造成严重生命损失的主要来源之一。山洪暴发还会造成财产损失,例如巴基斯坦最近发生的洪灾以及2004年英国博斯卡斯尔大洪水所造成的车辆损坏。因此,期望能够使用数值模型来评估山洪暴发期间人员和车辆的安全程度。在当前的研究中,用于评估人员和车辆的洪水危险风险的算法已集成到能够模拟山洪暴发的现有二维水动力模型中。在该算法中,由以前的研究人员开发的,与水深和相应的儿童和成人临界速度相关的经验曲线用于评估人员安全程度,并使用新的初始速度公式来评估车辆安全程度。然后,将开发的模型应用于三个实际案例研究,包括:英国的格拉斯哥和博斯卡斯尔洪水,以及法国的马尔帕塞大坝破坏洪水。根据对模型预测的分析,得出以下结论:(ⅰ)格拉斯哥洪水的模拟结果表明,儿童有站在小城市地区被洪水淹没的街道中的危险; (ⅱ)博斯卡斯尔(Boscastle)洪水的模拟表明,停车场中的车辆将被高速流动冲走,这间接证明了车辆初期公式的预测准确性; (3)对马尔帕塞大坝破坏洪水的模拟表明,所采用的评估人身安全的方法是适用的,一些生活在大坝之下的当地人将被扫除,这与伤亡报告相吻合。因此,所开发的集成模型可用于评估山洪暴发中对人员和车辆的洪灾风险,这些预测可用于洪灾风险管理。

著录项

  • 来源
    《Environmental Modelling & Software》 |2011年第8期|p.987-998|共12页
  • 作者单位

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China,Hydro-environmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK;

    Hydro-environmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK;

    Hydro-environmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK;

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    flash floods; people safety; vehicle safety; flood hazard risk; numerical assessment;

    机译:洪水泛滥;人身安全;车辆安全;洪水灾害风险;数值评估;

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