Thu Oct 08, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Montecino, Henry D., Almeida, Yellinson de M., Orellana, Felipe, Marsella, Maria, D'Aranno, Peppe, and Cuevas, Aharon, 2026. Geodetic Assessment of Drought Intensity and Hydrological Dynamics in the Cantareira System, Southeastern Brazil. Remote Sensing, 18(18):3170, doi:10.3390/rs18183170.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026RemS...18.3170M,
author = {{Montecino}, Henry D. and {Almeida}, Yellinson de M. and {Orellana}, Felipe and {Marsella}, Maria and {D'Aranno}, Peppe and {Cuevas}, Aharon},
title = "{Geodetic Assessment of Drought Intensity and Hydrological Dynamics in the Cantareira System, Southeastern Brazil}",
journal = {Remote Sensing},
keywords = {GPS, InSAR, GRACE, vertical displacement, terrestrial water storage},
year = 2026,
month = sep,
volume = {18},
number = {18},
eid = {3170},
pages = {3170},
abstract = "{Hydrological drought, expressed as anomalously low water availability in
rivers, aquifers, and reservoirs, poses a growing threat to
water security in densely populated regions such as the
Metropolitan Region of Sao Paulo (MRSP), Brazil. Characterizing
how drought propagates into large-scale terrestrial water
storage (TWS) deficits, and how these deficits translate into
measurable surface deformation, remains challenging in complex,
human-managed hydrological systems such as the Cantareira Water
Supply System. This study conducts an integrated, multi-sensor
geodetic assessment of drought-related hydrological dynamics in
the Cantareira System, combining vertical/LOS ground
displacement derived from continuous GPS observations and
Sentinel-1 InSAR time series with terrestrial water storage
anomalies (TWSAs) from GRACE/GRACE-FO, groundwater level
records, reservoir storage, and meteorological drought
indicators. Cross-correlation analysis reveals a strong and
statistically significant coupling between GRACE-TWSA and GPS-
derived vertical displacement, with correlation coefficients of
r=-0.8 (Upper Tiet{\^e} basin) and r=-0.6 (PCJ basin),
consistent with an elastic crustal response to hydrological
loading. Reservoir storage in the PCJ basin is similarly
correlated with regional TWSA (up to r=0.7 for the Jaguari--
Jacare{\'\i} reservoir), reinforcing GRACE's sensitivity to the
main upstream storage component of the Cantareira System.
Empirical Orthogonal Function (EOF) decomposition of the InSAR
deformation fields, retaining the first four modes (72\% of
variance in Upper Tiet{\^e}, 66\% in PCJ), further demonstrates
that deformation patterns are strongly influenced by
hydrogeological controls, with distinct spatial responses
between the PCJ basin, where hydroclimatic forcing is more
pronounced, and the more urbanized and anthropogenically
influenced Upper Tiet{\^e} basin. The integrated dataset
captures major drought episodes between January 2020 and
Dicember 2025, demonstrating the capability of combining GPS,
InSAR, and GRACE observations to quantitatively link climatic
drought forcing, terrestrial water storage deficits, and surface
deformation, thereby providing a robust approach for monitoring
water storage changes and supporting water resource management
in densely populated regions.}",
doi = {10.3390/rs18183170},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026RemS...18.3170M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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