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首页> 外文期刊>Remote Sensing >Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead
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Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead

机译：基于多传感器地球观测数据和水文模型的著名湖泊和水库周围的水平衡分析：咸海和米德湖的案例研究

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The hydrological budget of a region is determined based on the horizontal and vertical water fluxes acting in both inward and outward directions. These integrated water fluxes vary, altering the total water storage and consequently the gravitational force of the region. The time-dependent gravitational field can be observed through the Gravity Recovery and Climate Experiment (GRACE) gravimetric satellite mission, provided that the mass variation is above the sensitivity of GRACE. This study evaluates mass changes in prominent reservoir regions through three independent approaches viz. fluxes, storages, and gravity, by combining remote sensing products, in-situ data and hydrological model outputs using WaterGAP Global Hydrological Model (WGHM) and Global Land Data Assimilation System (GLDAS). The results show that the dynamics revealed by the GRACE signal can be better explored by a hybrid method, which combines remote sensing-based reservoir volume estimates with hydrological model outputs, than by exclusive model-based storage estimates. For the given arid/semi-arid regions, GLDAS based storage estimations perform better than WGHM.
机译：基于向内和向外的水平和垂直水通量确定区域的水文预算。这些积分的水通量变化，从而改变了总的储水量，并因此改变了该区域的重力。只要质量变化高于GRACE的灵敏度，就可以通过重力恢复和气候实验（GRACE）重力卫星任务观察与时间有关的重力场。这项研究通过三种独立的方法评估突出储层区域的质量变化。通过使用WaterGAP全球水文模型（WGHM）和全球土地数据同化系统（GLDAS）结合遥感产品，原位数据和水文模型输出，来分析通量，存储量和重力。结果表明，与仅基于模型的存储估算相比，通过混合方法可以更好地探索GRACE信号揭示的动力学，该方法将基于遥感的储层体积估算与水文模型输出相结合。对于给定的干旱/半干旱区域，基于GLDAS的存储估计比WGHM更好。

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