• 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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