Groundwater for Sustainable Development,
Год журнала:
2024,
Номер
25, С. 101137 - 101137
Опубликована: Март 13, 2024
Groundwater
resources
in
arid
regions
play
a
vital
role
meeting
water
demands;
however,
they
are
facing
rapid
depletion
due
to
unsustainable
exploitation
practices,
exacerbated
by
climate
change.
Floods
can
present
unique
opportunity
for
restoring
groundwater
levels
and
mitigating
saltwater
intrusion
into
aquifers.
The
use
of
properly
managed
floodwater
aquifer
recharge
offers
dual
advantage
maximizing
the
potential
floods
as
valuable
resource,
while
minimizing
their
negative
impacts.
In
this
work,
we
applied
GIS-based
Multi-Criteria
Decision-Making
(MCDM)
method,
namely
Analytic
Hierarchy
Process
(AHP),
delineate
flood
susceptible
zones
Qatar,
considering
several
influential
topographical,
hydrological,
environmental,
anthropological
criteria.
maps
susceptibility
were
validated
using
recent
flooding
events
existing
wells
data,
respectively.
Sensitivity
analysis
was
conducted
on
both
variables
further
assess
accuracy.
overlay
two
suggests
that
approximately
64%
Qatar
peninsula
presents
medium
excellent
suitability
floodwater.
areas
best
suited
floodwater-based
intervention
northern
coastal
peninsula,
urban
southwestern
area
less
suitable.
This
study
provides
decision-makers
with
spatially
explicit
information
be
targeted
projects
well
recommendations
technical,
economic,
regulatory
considerations
require
additional
investigation.
approach
employed
effectively
similar
flood-prone
is
adaptable
diverse
contexts.
Water Resources Research,
Год журнала:
2023,
Номер
59(4)
Опубликована: Март 25, 2023
Abstract
Irrigation
is
the
largest
human
intervention
in
water
cycle
that
can
modulate
climate
extremes,
yet
irrigation
use
(IWU)
remains
largely
unknown
most
regions.
Microwave
remote
sensing
offers
a
practical
way
to
quantify
IWU
by
monitoring
changes
soil
moisture
caused
irrigation.
However,
high‐resolution
satellite
data
typically
infrequent
(e.g.,
6–12
days)
and
thus
may
miss
events.
This
study
evaluates
ability
assimilating
(1
km)
SMAP‐Sentinel
1
remotely
sensed
with
physically
based
land
surface
model
(LSM)
using
particle
batch
smoother
(PBS).
A
suite
of
synthetic
experiments
devised
evaluate
different
error
sources.
Results
from
show
unbiased
simulations
known
timing
produce
an
accurate
estimate
mean
annual
bias
0.45%
R
2
0.97,
relative
observed
IWU.
Unknown
significantly
deteriorate
performance,
resulting
increased
23%
decreased
0.36.
Adding
random
noise
observations
does
not
decrease
performance
except
for
low
observation
frequency
(>12
days).
In
real‐world
experiments,
PBS
assimilation
approach
underestimates
18.6%
when
known.
estimates
are
consistently
higher
over
irrigated
pixels
compared
non‐irrigated
pixels,
indicating
skillfully
conveys
signals
LSM.
Journal of Hydrology X,
Год журнала:
2024,
Номер
23, С. 100175 - 100175
Опубликована: Март 19, 2024
This
study
examined
recent
advances
in
remote
sensing
(RS)
techniques
used
for
the
quantitative
monitoring
of
groundwater
storage
changes
and
assessed
their
current
capabilities
limitations.
The
evolution
analyses
spans
from
empirical
reliance
on
sparse
point
data
to
assimilation
multi-platform
satellite
measurements
using
sophisticated
machine
learning
algorithms.
Key
developments
reveal
enhanced
characterisation
localised
measurement
by
integrating
coarse-resolution
gravity
with
high-resolution
ground
motion
observations
radar
imagery;
Notable
include
improved
accuracy
achieved
Gravity
Recovery
Climate
Experiment
(GRACE)
Interferometric
Synthetic
Aperture
Radar
(InSAR)
data.
Cloud
computing
now
facilitates
intensive
analysis
large
geospatial
datasets
address
quantification
challenges.
While
significant
progress
has
been
made,
ongoing
constraints
coarse
spatial
temporal
resolutions
limiting
basin-scale
utility,
propagation
uncertainties
sensor
calibrations
merging,
a
lack
systematic
validation
impeding
operational
readiness.
Addressing
these
limitations
is
critical
continued
improvement
techniques.
review
identifies
promising
pathways
overcome
limitations,
emphasising
standardised
fusion
frameworks
gravimetry,
interferometry,
hydrogeophysical
development
robust
cloud-based
modelling
platforms
multi-source
subsurface
information
key
recommendation,
highlighting
potential
significantly
advance
accuracy.
comprehensive
serves
as
valuable
resource
water
experts,
providing
insights
into
evolving
landscape
methodologies
paving
way
future
advancements
tools.
Groundwater for Sustainable Development,
Год журнала:
2024,
Номер
25, С. 101137 - 101137
Опубликована: Март 13, 2024
Groundwater
resources
in
arid
regions
play
a
vital
role
meeting
water
demands;
however,
they
are
facing
rapid
depletion
due
to
unsustainable
exploitation
practices,
exacerbated
by
climate
change.
Floods
can
present
unique
opportunity
for
restoring
groundwater
levels
and
mitigating
saltwater
intrusion
into
aquifers.
The
use
of
properly
managed
floodwater
aquifer
recharge
offers
dual
advantage
maximizing
the
potential
floods
as
valuable
resource,
while
minimizing
their
negative
impacts.
In
this
work,
we
applied
GIS-based
Multi-Criteria
Decision-Making
(MCDM)
method,
namely
Analytic
Hierarchy
Process
(AHP),
delineate
flood
susceptible
zones
Qatar,
considering
several
influential
topographical,
hydrological,
environmental,
anthropological
criteria.
maps
susceptibility
were
validated
using
recent
flooding
events
existing
wells
data,
respectively.
Sensitivity
analysis
was
conducted
on
both
variables
further
assess
accuracy.
overlay
two
suggests
that
approximately
64%
Qatar
peninsula
presents
medium
excellent
suitability
floodwater.
areas
best
suited
floodwater-based
intervention
northern
coastal
peninsula,
urban
southwestern
area
less
suitable.
This
study
provides
decision-makers
with
spatially
explicit
information
be
targeted
projects
well
recommendations
technical,
economic,
regulatory
considerations
require
additional
investigation.
approach
employed
effectively
similar
flood-prone
is
adaptable
diverse
contexts.
