• Sorted by Date • Sorted by Last Name of First Author •
Mohammed, Hanan K., Al-Khafaji, Mahmoud S., and Alwan, Imzahim A., 2025. Analysis of Groundwater Storage at The Local Scale in the Missan Region, Iraq, Based on GRACE Satellite and Well Data. Geosciences, 15(3):91, doi:10.3390/geosciences15030091.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025Geosc..15...91M,
author = {{Mohammed}, Hanan K. and {Al-Khafaji}, Mahmoud S. and {Alwan}, Imzahim A.},
title = "{Analysis of Groundwater Storage at The Local Scale in the Missan Region, Iraq, Based on GRACE Satellite and Well Data}",
journal = {Geosciences},
keywords = {GRACE, GWS, monitoring wells, Missan, Iraq, unconfined aquifer, GSFC},
year = 2025,
month = mar,
volume = {15},
number = {3},
eid = {91},
pages = {91},
abstract = "{Accurate data collection and time series creation are crucial for
understanding these changes. However, many areas lack reliable
data due to geopolitical issues and government permissions.
Urgent action is needed for sustainable water management. This
study uses Gravity Recovery and Climate Experiment (GRACE) data
to analyze monthly fluctuations in groundwater storage in the
Missan region of Iraq from January 2022 to December 2023, using
Goddard Space Flight Center (GSFC) mascon, Jet Propulsion
Laboratory Downscaled (JPL\_D), and Catchment Land Surface Model
(CLSM). This study revealed the variability in GWS over the area
using RS data and in integration with available monitoring
wells. To investigate GWS variability, GSFC, JPL\_D, and CLSM
observed a downward trend in GWS in 2022; GSFC exhibits the
highest negative groundwater trend, while CLSM has the lowest
negative trend. Then, from January to June 2023, GSFC had the
highest positive trend, while CLSM had the lowest positive
trend. Most of the study period has a negative trend for remote
sensing that matches the monitoring well data in situ, in which
wells 1, 2, and 4 are negative trends of the study period. In
conclusion, these results improve the role of remote sensing in
groundwater monitoring in small-scale region unconfined
aquifers, which supports decision-making in water resource
management. The findings illustrated a match between the results
derived from the GRACE data and monitoring well data.}",
doi = {10.3390/geosciences15030091},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025Geosc..15...91M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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