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RADAR RAINFALL MAPPING AND HYDROLOGIC MODELING FOR FLOOD INUNDATION IN LINBAIN RIVER BASIN, TAIWAN

机译:台湾临汾河流域洪水淹没雷达降雨映射及水文模型

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Recently, radar rainfall data have emerged as an alternative to in situ observations due to their availability over vast ungauged regions. The focus of this study is to integrate the available radar products within a distributed hydrologic model to characterize the spatial extent of flooding. We present a methodology based entirely on radar rainfall data to set up and calibrate a hydrologic model, simulate the spatial extent of flooding.This study used a two-dimensional hydrologic model for the simulation of extreme flood events that occurred in the Linbain River watershed during Typhoon Morakt, 2009. The analysis showed the value of integrating radar precipitation data along with space-based flood inundation extents as inputs to the distributed hydrologic model. Results show that the quantification of flooding spatial extent with radar data can help to calibrate and evaluate hydrologic models and, hence, potentially improve flood inundation prediction and flood management strategies in the catchments.
机译:最近,由于其在庞大的未凝固区域的可用性,雷达降雨数据作为原地观测的替代方案。本研究的重点是将可用的雷达产品集成在分布式水文模型中,以表征洪水的空间程度。我们以完全基于雷达降雨数据的方法来设置和校准水文模型,模拟洪水的空间程度。本研究采用了一种二维水文模型来模拟临汾河流域中的极端洪水事件的模拟Typhoon Morakt,2009年。分析表明,将雷达降水数据与基于空间的洪水淹没范围集成为分布式水文模型的输入。结果表明,随着雷达数据的洪水空间范围的量化可以有助于校准和评估水文模型,从而潜在地改善集水区中的洪水淹没预测和洪水管理策略。

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