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首页> 外文期刊>Atmospheric and Climate Sciences >TOPMODEL Hydrometeorological Modeling with Rain Gauge Data Integrated by High-Resolution Satellite Estimates. A Case Study in Muriaé River Basin, Brazil
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TOPMODEL Hydrometeorological Modeling with Rain Gauge Data Integrated by High-Resolution Satellite Estimates. A Case Study in Muriaé River Basin, Brazil

机译:高分辨率卫星估算中集成的雨量仪数据TopModel水流造型。 穆里亚&amp的案例研究。#233; 河流盆,巴西

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摘要

This study consists of hydrological simulations of the Muriaé river watershed with the topography-based hydrological model (TOPMODEL) and available stream gauge and rain measurements between 2009 and 2013 for two subbasins, namely Carangola and Patrocínio do Muriaé . The simulations were carried out with the Climate Prediction Center morphing method (CMORPH) precipitation estimates and rain gauge measurements integrated into CM- ORPH by the Statistical Objective Analysis Scheme (SOAS). TOPMODEL calibration was performed with the shuffled complex evolution (SCE-UA) method with Nash-Sutcliffe efficiency (NSE). The best overall results were obtained with CMORPH (NSE ~ 0.6) for both subbasins. The simulations with SOAS resulted in an NSE ~ 0.2. However, in an analysis of days with high- level stages, SOAS simulations resulted in a better hit rate (23%) compared to CMORPH (10%). CMORPH simulations underestimated the flows at the flood periods, which indicates the importance to use multi-sensor precipitation data. The results with TOPMODEL allow an estimate of future discharges, which allows for better planning of a flood warning system and discharge measurement schedule.
机译:本研究包括穆利亚河流域的水文模拟,与基于地形的水文模型(TOPMODEL)和可用的流量计和2009和2013之间的雨量测量为两种亚亚亚替代蛋白酶,即 Carangola和Patrocínio做Muriaé。通过统计目标分析方案(SOA),利用气候预测中心变形方法(CMORPH)降水估算和雨量计测量来进行仿真。使用NASH-SUTCLIFFE效率(NSE)进行淋上的复杂进化(SCE-UA)方法进行TOPMODEL校准。对于两个亚酶的Cmorph(nse〜0.6)获得了最佳总体结果。使用SOA的模拟导致NSE〜0.2。然而,在高级阶段的日期分析中,与Cmorph(10%)相比,SOAS模拟导致更好的击中率(23%)。 CMORPH模拟低估了洪水期的流量,这表明使用多传感器降水数据的重要性。 TopModel的结果允许估计未来放电,这允许更好地规划洪水预警系统和放电测量时间表。

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