Dokumenttyp: Artikel/Aufsatz
Titel: 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
Autor*in: Singh, Alka
Seitz, Florian
Eicker, Annette 
Güntner, Andreas
Erscheinungsdatum: 16-Nov-2016
Freie Schlagwörter: GRACE; water budget; reservoir; water fluxes; GLDAS; WGHM; Aral Sea; Lake Mead
Zusammenfassung: 
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.
Sachgruppe (DDC): 550: Geowissenschaften
HCU-Fachgebiet / Studiengang: Geodäsie und Ausgleichungsrechnung 
Zeitschrift oder Schriftenreihe: Remote sensing 
Band: 8
Ausgabe: 11
Verlag: MDPI
ISSN: 2072-4292
Verlagslink (DOI): 10.3390/rs8110953
URN (Zitierlink): urn:nbn:de:gbv:1373-repos-9509
Direktlink: https://repos.hcu-hamburg.de/handle/hcu/746
Sprache: Englisch
Creative-Commons-Lizenz: https://creativecommons.org/licenses/by/4.0/
Enthalten in der SammlungPublikationen (mit Volltext)

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat
remotesensing-08-00953.pdf5.26 MBAdobe PDFÖffnen/Anzeigen
Internformat

Seitenansichten

259
checked on 26.12.2024

Download(s)

56
checked on 26.12.2024

Google ScholarTM

Prüfe

Export

Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons