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Flood Risk Impact Factor for Comparatively Evaluating the Main Causes that Contribute to Flood Risk in Urban Drainage Areas

机译:比较评估城市流域造成洪灾风险的主要原因的洪灾风险影响因素

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Among the various factors that contribute to flood risk, heavy storms, inadequate storm drainage systems, and the concentration of population and assets have usually been considered to be fundamental factors affecting flood damage. Climate change is also a real threat, bringing heavier and more frequent storms. This study presents a methodology for comparatively evaluating the impact of the flood risk factors using a GIS-based flood damage prediction model (FDPM). The FDPM calculates flood inundation depths using the XP-SWMM routine and monetary flood damages using a flood damage estimation model for various storms and catchment conditions. The concept of flood risk in this context is defined as the product of flood damage and the probability of its occurrence. This study produces a flood risk structure in a risk assessment framework. The method is applied to the Kiba drainage area in Tokyo, Japan. The study gives a quantitative evaluation of the changes in flood risk due to risk factors such as increase in asset values, flood control, and climate change using a flood risk impact factor (FRIF). The FRIF is introduced as an index to evaluate the impact of various sources of increased or reduced flood risk to society.
机译:在造成洪水风险的各种因素中,大风暴,暴雨排水系统不足以及人口和资产的集中通常被认为是影响洪灾破坏的根本因素。气候变化也是一个真正的威胁,带来了更严重,更频繁的风暴。这项研究提出了一种方法,可以使用基于GIS的洪水灾害预测模型(FDPM)来比较评估洪水风险因素的影响。 FDPM使用XP-SWMM例程计算洪水淹没深度,并使用针对各种风暴和集水情况的洪水破坏估计模型来计算货币洪水破坏。在此上下文中,洪水风险的概念定义为洪水损害及其发生概率的乘积。这项研究在风险评估框架中产生了洪水风险结构。该方法已应用于日本东京的木场流域。该研究使用洪水风险影响因子(FRIF)对由于诸如资产价值增加,洪水控制和气候变化等风险因素引起的洪水风险变化进行了定量评估。 FRIF被引入作为评估洪水风险增加或减少的各种来源对社会的影响的指数。

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