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首页> 外文期刊>Hydrological Research Letters >Establishing flood damage functions for agricultural crops using estimated inundation depth and flood disaster statistics in data-scarce regions
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Establishing flood damage functions for agricultural crops using estimated inundation depth and flood disaster statistics in data-scarce regions

机译：利用估计的淹没深度和数据稀缺地区的洪水灾害统计数据建立农作物的洪水破坏功能

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摘要

Flood damage functions form the core of flood risk assessment. This study proposes a method for establishing flood damage functions for agricultural crops in data-scarce regions. The method assumes that the flood damage ratio is a function of inundation depth only and utilizes inundation depth estimated from flood extent information and hydrodynamic simulations. The parameters of the damage functions are calibrated through the SCE-UA method (Shuffled Complex Evolution method developed at The University of Arizona) so that the calculated flood damages match observations compiled in flood disaster statistics. The established three functions show good agreement with actual agricultural damages caused by a rainfall event in 2010 and are validated against another rainfall event in 2009. The results indicate that the established damage functions are capable of estimating flood damage at the district scale, while damage estimations at finer spatial resolution differ between the functions, suggesting that detailed statistical data need to be incorporated to reduce the estimation uncertainty at fine scales.
机译：洪水破坏功能是洪水风险评估的核心。这项研究提出了一种建立数据稀缺地区的农作物水灾破坏功能的方法。该方法假定洪水破坏率仅是淹没深度的函数，并利用根据洪水程度信息和水动力模拟估算的淹没深度。损害函数的参数通过SCE-UA方法（亚利桑那大学开发的Shuffled Complex Evolution方法）进行了校准，以使计算得出的洪灾损失与洪灾统计中的观测值相匹配。所建立的三个函数与2010年一次降雨事件造成的实际农业破坏具有良好的一致性，并在2009年的另一场降雨事件中得到了验证。结果表明，所建立的破坏函数能够在地区范围内估算洪灾损失，而损失估算在更精细的空间分辨率下，函数之间存在差异，这表明需要合并详细的统计数据，以减少精细尺度下的估计不确定性。

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