首页> 外文会议>International Conference on Hydroinformatics >APPLICABILITY OF A FLOOD FORECASTING METHOD UTILIZING GLOBAL SATELLITE INFORMATION TO AN INSUFFICIENTLY-GAUGED RIVER BASIN: A CASE OF A RIVER BASIN IN THE PHILIPPINES
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APPLICABILITY OF A FLOOD FORECASTING METHOD UTILIZING GLOBAL SATELLITE INFORMATION TO AN INSUFFICIENTLY-GAUGED RIVER BASIN: A CASE OF A RIVER BASIN IN THE PHILIPPINES

机译:利用全球卫星信息的洪水预报方法在流量不足的河流盆地中的适用性:以菲律宾的河流盆地为例

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A basin-wide flood monitoring and warning systems is being implemented sequentially in river basins of the Philippines, which suffer from severe floods. The Cagayan River basin with draining area of 27,280km~2, that is the largest river basin in the Philippines, has five rainfall and water level gauges for the purpose of flood monitoring and warning. Despite the installed monitoring system, an operational flood forecasting model based on physical theories has not been performed for this basin. Then IFAS, a distributed hydrological model developed by ICHARM, was applied to the Cagayan River basin as a flood forecasting model. One of its notable functions is the capability of using both ground-gauge data and global satellite information, such as topography, land use, and rainfall in the model. This global satellite information is utilized as supplementary information to facilitate easier forecast of flood discharge in an insufficiently-gauged river basin. On the other hand, little has been addressed about accuracy validation of global satellite information as input data of the flood forecasting model. Therefore, GSMaP provided by the Japan Aerospace Exploration Agency (JAXA) was applied to the flood forecasting model as a rainfall input. The comparison shows ground rainfall excels at accuracy of quantity, whereas GSMaP excels at spatial distribution. As a result, the study found that simulation with calibrated GSMaP can reproduce river discharge with high accuracy, suggesting that satellite information combined with ground gauged data is applicable and effective for flood forecasting in the Philippines.
机译:在遭受严重洪灾的菲律宾河流域中,正在依次实施全流域的洪水监测和预警系统。卡加延河流域流域面积为27,280km〜2,是菲律宾最大的流域,有五个降雨和水位计,用于洪水监测和预警。尽管安装了监控系统,但尚未对该流域执行基于物理理论的洪水预报模型。然后,由ICHARM开发的IFAS分布式水文模型被应用到卡加延河流域,作为洪水预报模型。它的显着功能之一是能够同时使用地面测量数据和全球卫星信息,例如模型中的地形,土地使用和降雨。该全球卫星信息被用作补充信息,以方便对水位不足的流域的洪水流量进行更容易的预测。另一方面,关于全球卫星信息作为洪水预报模型的输入数据的准确性验证的问题很少。因此,将日本航空航天局(JAXA)提供的GSMaP应用于洪水预报模型作为降雨输入。比较表明,地面降雨在数量准确性方面表现出色,而GSMaP在空间分布方面表现出色。结果,该研究发现,使用校准的GSMaP进行的模拟可以高精度再现河流流量,这表明结合了地面测量数据的卫星信息对于菲律宾的洪水预报是适用且有效的。

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