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

被引:9
|
作者
Singh, Alka [1 ]
Seitz, Florian [1 ]
Eicker, Annette [2 ]
Guentner, Andreas [3 ,4 ]
机构
[1] Tech Univ Munich, DGFI, Arcisstr 21, D-80333 Munich, Germany
[2] HafenCity Univ, Uberseeallee 16, D-20457 Hamburg, Germany
[3] Helmholtz Ctr Potsdam, GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany
[4] Univ Potsdam, Inst Earth & Environm Sci, D-14476 Potsdam, Germany
关键词
GRACE; water budget; reservoir; water fluxes; GLDAS; WGHM; Aral Sea; Lake Mead; STORAGE FLUCTUATIONS; DATA ASSIMILATION; GRACE; ALTIMETRY; PRODUCTS; REGIONS; SURFACE;
D O I
10.3390/rs8110953
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:21
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