Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Sharma, Yaggesh Kumar, Mohanasundaram, S., Kim, Seokhyeon, Shrestha, Sangam, Babel, Mukand S., and Loc, Ho Huu, 2025. Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin. Remote Sensing, 17(10):1731, doi:10.3390/rs17101731.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.1731S,
author = {{Sharma}, Yaggesh Kumar and {Mohanasundaram}, S. and {Kim}, Seokhyeon and {Shrestha}, Sangam and {Babel}, Mukand S. and {Loc}, Ho Huu},
title = "{Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin}",
journal = {Remote Sensing},
keywords = {groundwater monitoring, aquifer reliability and resilience, satellite data analysis, gravity recovery and climate experiment, groundwater drought index},
year = 2025,
month = may,
volume = {17},
number = {10},
eid = {1731},
pages = {1731},
abstract = "{There are serious ecological and environmental risks associated with
groundwater level decline, particularly in areas with little in
situ monitoring. In order to monitor and assess the resilience
and dependability of groundwater storage, this paper proposes a
solid methodology that combines data from land surface models
and satellite gravimetry. In particular, the GRACE Groundwater
Drought Index (GGDI) is used to analyze the estimated
groundwater storage anomalies (GWSA) from the Gravity Recovery
and Climate Experiment (GRACE) and the Global Land Data
Assimilation System (GLDAS). Aquifer resilience, or the
likelihood of recovery after stress, and aquifer reliability, or
the long-term probability of remaining in a satisfactory state,
are calculated using the core method. The two main components of
the methodology are (a) calculating GWSA by subtracting the
surface and soil moisture components from GLDAS, total water
storage from GRACE, and comparing the results to in situ
groundwater level data; and (b) standardizing GWSA time series
to calculate GGDI and then estimating aquifer resilience and
reliability based on predetermined threshold criteria. Using
this framework, we validate GRACE-derived GWSA with in situ
observations in eight sub-basins of the Chao Phraya River (CPR)
basin, obtaining Pearson correlation coefficients greater than
0.82. With all sub-basins displaying values below 35\%, the
results raise significant questions about resilience and
dependability. This method offers a framework that can be
applied to assessments of groundwater sustainability worldwide.}",
doi = {10.3390/rs17101731},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.1731S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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