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Flood alert system using rainfall forecast data in Western Puerto Rico

机译:使用西波多黎各的降雨预报数据的洪水预警系统

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The Western Puerto Rico area is subject to flooding due to sudden, extreme rainfall events, some of which fail to be detected by NOAA's NEXRAD radar. The use of new radars with higher spatial resolution and covering the low atmosphere are vital for flood forecasting efforts, and for studying and predicting atmospheric phenomena. Recently the University of Puerto Rico in Mayagüez initiated investigations using two (2) types of these radars, Off-the Grid (OTG) and TropiNet (RXM-25), respectively, in the Mayagüez Bay Drainage Basin area. This is the first time that such radar technology will be used for hydrologic analyses and specifically for rainfall forecasting in Puerto Rico. The forecast analysis will be made using time series with autoregressive methods and selecting the stochastic model parameters most appropriate for an optimal prediction; with the radar results, a distributed hydrologic model (Vflo™) is used to obtain the spatial distribution of flooding depth.
机译:由于突然,极端的降雨事件,西部波多黎各地区受到洪水的影响,其中一些是Noaa的Nexrad Radar无法检测到的。利用具有较高空间分辨率和覆盖低气氛的新雷达对洪水预测努力至关重要,以及用于研究和预测大气现象。近日,波多黎各大学在Mayagüez在Mayagüez湾排水盆地中使用两(2)种这些雷达,离网(OTG)和Tropinet(RXM-25)的调查开始调查。这是第一次如此雷达技术用于水文分析,专门用于波多黎各的降雨预测。预测分析将使用自回归方法使用时间序列进行,并选择最适合最佳预测的随机模型参数;利用雷达结果,分布式水文模型(VFLO™)用于获得洪水深度的空间分布。

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