Thu Apr 10, F. Flechtner
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Msesane, Qawekazi, Gxokwe, Siyamthanda, and Dube, Timothy, 2025. Groundwater modelling applications coupled with space-based observations in groundwater-dependent assessments: A review on applications, challenges, and future research directions. Physics and Chemistry of the Earth, 138:103860, doi:10.1016/j.pce.2025.103860.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025PCE...13803860M,
author = {{Msesane}, Qawekazi and {Gxokwe}, Siyamthanda and {Dube}, Timothy},
title = "{Groundwater modelling applications coupled with space-based observations in groundwater-dependent assessments: A review on applications, challenges, and future research directions}",
journal = {Physics and Chemistry of the Earth},
keywords = {Ecohydrology, GRACE, Hydrogeology, MODFLOW, Numerical modelling},
year = 2025,
month = jun,
volume = {138},
eid = {103860},
pages = {103860},
abstract = "{In recent years, there has been a growing recognition of the ecological
significance of groundwater-dependent ecosystems (GDEs), which
rely on groundwater for sustainability and face increasing
vulnerability due to environmental stresses. This has led to a
substantial body of literature investigating various aspects of
GDEs and their hydrogeological connectivity to underlying
aquifers. Nevertheless, the field lacks a comprehensive
synthesis that integrates theoretical models, spatial data
integration, and advanced groundwater modeling techniques.
Furthermore, GDEs confront escalating threats arising from land-
use changes, climate variability, and groundwater depletion, it
becomes imperative to identify research gaps and limitations in
current methodologies and approaches. This imperative guide the
development of effective conservation and management strategies.
Thus, this review offers a comprehensive exploration, delving
into the background and classification of GDEs. It further
examines a range of models and conceptual frameworks employed to
understand the hydrogeological connectivity to underlying
aquifers, while also assessing the integration of spatial data
with numerical models for groundwater modelling. However, there
are concerns with regards to the mismatch in spatial and
temporal scales between remote sensing data and groundwater
models, which leads to difficulties in integration. Furthermore,
there is limited ground truth data, especially in remote areas,
which further complicates validation efforts. However, this
review identified the need for the integration of spatial data
to groundwater numerical modelling to improve the accuracy of
the model results by providing more detailed information about
the geology and hydrogeology of the area being observed.
Moreover, this review sheds light on the ecological significance
of understanding GDE-aquifer connectivity and its critical role
in conservation efforts within these ecosystems.}",
doi = {10.1016/j.pce.2025.103860},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025PCE...13803860M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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