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Predicting inflows to barrier lakes formed in the Wenchuan earthquake using the WEP model and TRMM-based rain data

机译:使用WEP模型和基于TRMM的降雨数据预测汶川地震形成的屏障湖泊的入流

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Inflow prediction to barrier lakes formed in earthquakes is important to flood disaster warning and prevention, but it is difficult because barrier lakes are usually in mountainous regions and lack gauge data. This study tries to predict inflows to the Tangjiashan barrier lake in the Upper Fujiang River of Mianyang municipality formed during the Wenchuan earthquake on 12 May 2008 by combining the WEP distributed hydrological Model and the TRMM-based precipitation estimates. At first, the DEM data with a scale of 1:250 000 are utilized to generate the digital river system in the study area (12032.25 km~2), and related land cover, soil and historical hydro-meteorological data are collected. Then, five-year daily data of four meteorological stations (one inside and three neighbouring the study area) and four flow gauge stations are applied to validate the WEP model. Lastly, the TRMM three-hourly data from 1 January to 1 July is downloaded to run the model for the prediction of inflow to the barrier lake and lake storage. The application results show an acceptable accuracy, illustrating that the combination of distributed hydrological model and spatial observation and analysis technology are useful for flood disaster warning purposes in the poorly gauged basin.
机译:预测在地震中形成的屏障湖泊的入流对于洪水灾害的预警和预防很重要,但由于屏障湖泊通常位于山区且缺乏规范数据,因此很难。本研究试图结合WEP分布式水文模型和基于TRMM的降水估计,预测2008年5月12日汶川地震期间形成的绵阳市上Fujian江上游唐家山势垒湖的入水量。首先,利用规模为1:250 000的DEM数据在研究区域(12032.25 km〜2)中生成数字河流系统,并收集相关的土地覆盖,土壤和历史水文气象数据。然后,应用四个气象站(一个在研究区域内,三个在研究区域附近)和四个流量计站的五年日数据来验证WEP模型。最后,下载了1月1日至7月1日的TRMM每三个小时的数据,以运行该模型,以预测进入屏障湖和湖泊存储的流量。应用结果表明该方法的准确性是可以接受的,说明分布式水文模型与空间观测和分析技术的结合对于流域欠佳的流域洪灾预警是有用的。

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