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Distributed Hydrologic Model for Flood Prevention in the Yuna River Watershed, Dominican Republic

机译:多米尼加共和国云河流域防洪水文模型

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The Yuna River basin, a watershed of about 5500 km~2 in the Dominican Republic (DR), is affected by both broad floods in the valley and flash flooding in the upper mountainous reaches. A better understanding of flood behavior and an assessment of flood control options is necessary in this watershed to protect human life and property, as highlighted by the particularly active 2008 hurricane season. Distributed hydrologic models using VfloTM of both 250m and 500m cell resolution have been developed to provide flood prediction and flood control assessment in the basin. The Upper Yuna subwatershed is topographically diverse, with steep tributaries falling from 3,000m mountains into a main channel through a relatively flat valley. The Vflo software has great applicability for this watershed compared with more standard hydrologic models because it can model the challenging topography, provide flow outputs for any portion of the watershed, and handle variable-detail GIS inputs of elevation data, soil, and land-use maps. An analysis has been performed that compares influence of cell size and hydrologic detail on tributaries of varying steepness and flow output, which proves important for location selection of flood control options. A main goal of this work is to aid this flood-prone community by getting a first model running that can provide inputs to flood timing prediction, basic floodplain mapping, and flood control assessment, but that can be quickly refined as more data of greater detail becomes available.
机译:多米尼加共和国(DR)中约有5500公里〜2的云纳河流域受到山谷中的广泛洪水的影响,上山区的闪光洪水。在这一分水岭的情况下,需要更好地了解洪水行为和对防洪期权的评估,以保护人的生命和财产,如飓风特别活跃的2008年飓风季节所突出。已经开发出使用250M和500M细胞分辨率的使用VFLOTM的分布式水文模型,以提供盆地的洪水预测和防洪评估。上部云亚瀑布在拓扑般的多样化中,陡峭的支流从3,000米山脉落入一个相对扁平的山谷的主干道。 VFLO软件对该流域的适用性与更多标准的水文模型相比,因为它可以模拟具有挑战性的地形,为流域的任何部分提供流量输出,并处理升高数据,土壤和土地利用的可变细节GIS输入地图。已经进行了分析,比较了细胞尺寸和水文细节对不同陡坡和流量输出支流的影响,这证明了对洪水控制选项的位置选择。这项工作的主要目标是通过获得一个可以提供洪水定时预测,基本洪泛平面映射和防洪评估的第一个模型运行来帮助这种普遍存在的社区,但这可以快速地精致更多细节数据变得可用。

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