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Development of an integrated flood hazard assessment model for a complex river system: a case study of the Mun River Basin,Thailand

机译:复杂河流系统综合洪灾评估模型的开发 - 以泰国门河流域为例

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Flooding is the most frequent natural disasters in Thailand, resulting in the loss of life and damage. In this research, we develop an integrated hydrologic and hydraulic model of the Mun River Basin, Thailand, and employ it to predict flood hazard maps at 10-, 25-, 50-, and 100-year return periods. The 'goodness-of-fit' statistics for probability distributions of rainfall data are investigated to select the best-fit distribution, which is used to derive the design rainfall depths for the scenarios (10-, 25-, 50-, and 100-year return periods). The results highlight the diversity of probability distributions even in the basin scale. The model demonstrates satisfactory results, and the flood hazard maps reveal that the extent of flooding is greater onthe left bank than the right, and that the flood depths vary mostly between 0 and 4 m. The results also demonstrate that approximately 60% of floodplain inundation is < 1 m, which is mostly observed at the upstream and central areas of the river. The extent of flooding downstream is not as large as the upstream, but generally deeper. Due to the flat topography, the duration of flooding is long, which could damage crop growth and yield, including cities in the flooded areas. This information is essential for the government and authorities to develop flood-control measures and flood management strategies. In this case, planning and regulation of the use of land, and levees to protect the exposed cities are recommended. The integrated model can be further developed for the design of flood mitigation measures and flood forecasting and warning systems. The approach and parameters (both initial and calibrated ranges) can be used to guide future model development and in other basins with similar catchment characteristics, particularly where gauge data are not available.
机译:洪水是泰国最常见的自然灾害,导致生命损失和损害。在这项研究中,我们开发了泰国的Mun River盆地的综合水文和水力模型,并雇用它来预测10-,25 - ,50-和100年回报期的洪水危险地图。调查了降雨数据概率分布的“健康的良好”统计,选择了最适合的分布,用于导出场景的设计降雨深度(10-,25-,50-和100-年回报期)。即使在盆地规模中,结果也突出了概率分布的多样性。该模型展示了令人满意的结果,洪水危险地图揭示了堤防的洪水程度比右侧更大,而洪水深度大部分大部分均为0到4米。结果还表明,大约60%的洪泛区淹没是<1米,在河上游和中央地区大多观察到。下游的洪水程度并不像上游那么大,但通常更深。由于平坦的地形,洪水的持续时间长,这可能会损害作物生长和产量,包括洪水区中的城市。这些信息对政府和当局制定防洪措施和洪水管理战略至关重要。在这种情况下,建议使用土地的规划和调节,以及保护暴露的城市的使用。可以进一步开发综合模型,以设计洪水缓解措施和洪水预测和警告系统。方法和参数(初始和校准范围)可用于引导未来的模型开发和具有相似集水特性的盆地,特别是在不可用的计量数据的情况下。

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