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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

Publication Type : Journal Article

Thematic Areas : Wireless Network and Application

Publisher : Remote sensing, Multidisciplinary Digital Publishing Institute.

Source : Remote sensing, Multidisciplinary Digital Publishing Institute, Volume 8, Issue 11, p.953 (2016)

Url : https://www.mdpi.com/2072-4292/8/11/953

Keywords : Aral Sea, GLDAS, GRACE, Lake Mead, reservoir, water budget, water fluxes, WGHM

Campus : Amritapuri

School : School of Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Electrical and Electronics

Verified : Yes

Year : 2016

Abstract : 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.

Cite this Research Publication : Alka Singh, Seitz, F., Eicker, A., and Güntner, A., “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”, Remote sensing, vol. 8, no. 11, p. 953, 2016.

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