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Volumetric Analysis of Reservoirs in Drought-Prone Areas Using Remote Sensing Products

Bhagwat, Tejas und Klein, Igor und Huth, Juliane und Leinenkugel, Patrick (2019) Volumetric Analysis of Reservoirs in Drought-Prone Areas Using Remote Sensing Products. Remote Sensing, 11 (17), Seiten 1-20. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs11171974. ISSN 2072-4292.

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Offizielle URL: https://www.mdpi.com/2072-4292/11/17/1974

Kurzfassung

Globally, the number of dams increased dramatically during the 20th century. As a result, monitoring water levels and storage volume of dam-reservoirs has become essential in order to understand water resource availability amid changing climate and drought patterns. Recent advancements in remote sensing data show great potential for studies pertaining to long-term monitoring of reservoir water volume variations. In this study, we used freely available remote sensing products to assess volume variations for Lake Mead, Lake Powell and reservoirs in California between 1984 and 2015. Additionally, we provided insights on reservoir water volume fluctuations and hydrological drought patterns in the region. We based our volumetric estimations on the area–elevation hypsometry relationship, by combining water areas from the Global Surface Water (GSW) monthly water history (MWH) product with corresponding water surface median elevation values from three different digital elevation models (DEM) into a regression analysis. Using Lake Mead and Lake Powell as our validation reservoirs, we calculated a volumetric time series for the GSWMWH–DEMmedian elevation combinations that showed a strong linear ‘area (WA) – elevation (WH)’ (R2 > 0.75) hypsometry. Based on ‘WA-WH’ linearity and correlation analysis between the estimated and in situ volumetric time series, the methodology was expanded to reservoirs in California. Our volumetric results detected four distinct periods of water volume declines: 1987–1992, 2000–2004, 2007–2009 and 2012–2015 for Lake Mead, Lake Powell and in 40 reservoirs in California. We also used multiscalar Standardized Precipitation Evapotranspiration Index (SPEI) for San Joaquin drainage in California to assess regional links between the drought indicators and reservoir volume fluctuations. We found highest correlations between reservoir volume variations and the SPEI at medium time scales (12–18–24–36 months). Our work demonstrates the potential of processed, open source remote sensing products for reservoir water volume variations and provides insights on usability of these variations in hydrological drought monitoring. Furthermore, the spatial coverage and long-term temporal availability of our data presents an opportunity to transfer these methods for volumetric analyses on a global scale.

elib-URL des Eintrags:https://elib.dlr.de/128868/
Dokumentart:Zeitschriftenbeitrag
Titel:Volumetric Analysis of Reservoirs in Drought-Prone Areas Using Remote Sensing Products
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Bhagwat, TejasTejas.Bhagwat (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Klein, IgorIgor.Klein (at) dlr.dehttps://orcid.org/0000-0003-0113-8637NICHT SPEZIFIZIERT
Huth, JulianeJuliane.Huth (at) dlr.dehttps://orcid.org/0000-0002-1453-6629NICHT SPEZIFIZIERT
Leinenkugel, PatrickPatrick.Leinenkugel (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:22 August 2019
Erschienen in:Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:11
DOI:10.3390/rs11171974
Seitenbereich:Seiten 1-20
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
Crétaux, Jean-Franciosjean-francois.cretaux (at) legos.obs-mip.frNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Del Rio, Rodrigo Abarcarabarcadelrio.univ (at) gmail.comNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Duguay, Claudecrduguay (at) uwaterloo.caNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
Name der Reihe:Lake Remote Sensing
ISSN:2072-4292
Status:veröffentlicht
Stichwörter:reservoirs; droughts; water volume; global surface water product; Lake Mead; Lake Powell; California; standardized precipitation evapotraspiration index; digital elevation models; San Joaquin drainage
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Hinterlegt von: Bhagwat, Tejas
Hinterlegt am:03 Sep 2019 15:12
Letzte Änderung:31 Okt 2023 14:00

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