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:利用全球卫星信息到不充分河流流域的洪水预测方法的适用性:菲律宾河流盆地的情况

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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:菲律宾河流河流域正在依次实施流域洪水监测和警告系统,遭受严重的洪水。卡加南河流域排放面积27,280公里〜2,即菲律宾最大的河流流域,有五个降雨量和水位仪表,用于洪水监测和警告。尽管安装了监控系统,但该盆地尚未对基于物理理论进行操作洪水预测模型。然后,ICAS是ICHARM开发的分布式水文模型,应用于Cagayan River盆地作为洪水预测模型。其值得注意的功能是使用地面仪表数据和全球卫星信息的能力,例如模型中的地形,土地利用和降雨。这种全球卫星信息被用作补充信息,以便于在不充分的河流盆地中更容易地预测排水。另一方面,关于全球卫星信息的准确性验证作为洪水预测模型的输入数据。因此,日本航空航天勘探机构(JAXA)提供的GSMAP应用于洪水预测模型作为降雨投入。比较显示了数量准确性的地面降雨卓越,而GSMAP在空间分布处擅长。因此,该研究发现,使用校准GSMAP的模拟可以高精度地再现河流放电,表明卫星信息与地面测量数据相结合,适用于菲律宾的洪水预测。

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