Land,
Год журнала:
2024,
Номер
13(12), С. 2095 - 2095
Опубликована: Дек. 5, 2024
Water
access
and
use
impact
land
management
decisions
livelihoods.
Despite
the
integral
role
water
plays
in
systems,
system
science
(LSS)
research
often
fails
to
explicitly
incorporate
into
analyses
of
socioecological
systems
(SES)
resilience
related
land.
Nonetheless,
scarcity,
especially
face
climate
change
resource
degradation,
is
a
pressing
issue.
availability
crucial
many
ecosystem
functions,
from
supporting
biodiversity
mitigating
extreme
weather
events
such
as
flooding
or
drought.
In
this
introduction
“Water
Land
System
Science”
Special
Issue,
we
argue
for
deeper
integration
dynamics
LSS
increase
SES
resilience.
First,
present
an
overview
need
integration,
followed
by
synopsis
authored
contributions
Issue
towards
goal.
We
then
provide
potential
entry
points
researchers
can
foster
exploring
following
topics:
governance
hydrosocial
territories,
cultural
geographies
water,
hydrophilia,
agricultural
transitions,
remote
sensing
innovations,
participatory
approaches
study
component
systems.
conclude
that
interactions
between
land,
people
remain
understudied,
despite
being
more
important
than
ever
ensuring
future
sustainability.
Water,
Год журнала:
2024,
Номер
16(22), С. 3328 - 3328
Опубликована: Ноя. 19, 2024
Assessing
diverse
parameters
like
water
quality,
quantity,
and
occurrence
of
hydrological
extremes
their
management
is
crucial
to
perform
efficient
resource
(WRM).
A
successful
WRM
strategy
requires
a
three-pronged
approach:
monitoring
historical
data,
predicting
future
trends,
taking
controlling
measures
manage
risks
ensure
sustainability.
Artificial
intelligence
(AI)
techniques
leverage
these
knowledge
fields
single
theme.
This
review
article
focuses
on
the
potential
AI
in
two
specific
areas:
supply-side
demand-side
measures.
It
includes
investigation
applications
leak
detection
infrastructure
maintenance,
demand
forecasting
supply
optimization,
treatment
desalination,
quality
pollution
control,
parameter
calibration
optimization
applications,
flood
drought
predictions,
decision
support
systems.
Finally,
an
overview
selection
appropriate
suggested.
The
nature
adoption
investigated
using
Gartner
hype
cycle
curve
indicated
that
learning
application
has
advanced
different
stages
maturity,
big
data
reach
plateau
productivity.
also
delineates
pathways
expedite
integration
AI-driven
solutions
harness
transformative
capabilities
for
protection
global
resources.
Water,
Год журнала:
2025,
Номер
17(8), С. 1174 - 1174
Опубликована: Апрель 14, 2025
Water
scarcity
is
a
growing
global
issue,
especially
in
arid
and
semi-arid
rangelands,
primarily
due
to
climate
change
population
growth.
Groundwater
crucial
resource
for
vegetation
these
ecosystems,
yet
its
role
supporting
plant
life
often
not
fully
understood.
This
review
explores
the
interactions
between
groundwater
dynamics
various
rangeland
types.
serves
as
critical
water
source
that
helps
sustain
plants,
but
changes
availability,
depth,
quality
can
significantly
impact
health,
biodiversity,
ecosystem
stability.
Research
indicates
depth
affects
types
their
distribution,
with
specific
plants
thriving
at
certain
levels.
For
instance,
grasslands,
shallow
support
diverse
herbaceous
species,
while
deeper
conditions
may
favor
drought-tolerant
shrubs
trees.
Similarly,
forest
extensive
root
systems
access
both
soil
moisture,
playing
vital
regulation.
Savanna
environments
showcase
complex
interactions,
where
trees
grasses
compete
water,
potentially
benefiting
during
dry
seasons.
Climate
poses
additional
challenges
by
altering
rainfall
patterns
temperatures,
affecting
recharge
availability.
As
result,
it
develop
effective
management
strategies
integrate
conservation
health.
Innovative
monitoring
techniques,
including
remote
sensing,
provide
valuable
information
about
levels
on
vegetation,
enhancing
management.
emphasizes
importance
of
understanding
groundwater–vegetation
guide
sustainable
land
practices.
By
our
knowledge
connections
utilizing
advanced
technologies,
we
promote
resilience,
secure
resources,
biodiversity
systems.
Collaborative
efforts
among
local
communities,
scientists,
policymakers
are
essential
address
pressing
issues
ensure
sustainability
ecosystems
future
generations.
ISPRS International Journal of Geo-Information,
Год журнала:
2024,
Номер
13(11), С. 381 - 381
Опубликована: Окт. 30, 2024
Chilika
Lake,
a
RAMSAR
site,
is
an
environmentally
and
ecologically
pivotal
coastal
lagoon
in
India
facing
significant
emerging
environmental
challenges
due
to
anthropogenic
activities
natural
processes.
Traditional
situ
water
quality
monitoring
methods
are
often
labor
intensive
time
consuming.
This
study
presents
novel
approach
for
ex
located
on
the
east
coast
of
India,
utilizing
Google
Earth
Engine
(GEE)
spectral
indices,
such
as
Normalized
Difference
Turbidity
Index
(NDTI),
Chlorophyll
(NDCI),
total
suspended
solids
(TSS).
The
methodology
involves
integration
multi-temporal
satellite
imagery
advanced
indices
assess
key
parameters,
turbidity,
chlorophyll-a
concentration,
sediments.
NDTI
value
Lake
increased
from
2019
2021,
Automatic
Water
Extraction
(AWEI)
method
estimated
TSS
concentration.
results
demonstrate
effectiveness
this
providing
accurate
comprehensive
assessments,
which
crucial
sustainable
management
Lake.
Maps
visualization
presented
using
GIS
software.
can
effectively
detect
floating
algal
blooms,
identify
pollution
sources,
determine
changes
over
time.
Developing
intuitive
dashboards
tools
help
stakeholders
engage
with
data-driven
insights,
increase
community
participation
conservation,
sources.
Water,
Год журнала:
2024,
Номер
16(14), С. 1951 - 1951
Опубликована: Июль 10, 2024
Groundwater
is
a
significant
source
of
water
supply,
especially
with
depleted
and
quality-deteriorated
surface
water.
The
number
drilled
boreholes
for
groundwater
has
been
increased,
but
erroneous
results
often
occur
while
selecting
sites
digging
boreholes.
This
makes
it
necessary
to
follow
science-based
method
indicating
potential
zones
storage.
LithoSFR
Model
systematic
approach
we
built
create
an
indicative
map
various
categories
sites.
It
based
mainly
on
retrieved
geospatial
data
from
satellite
images
available
thematic
maps,
plus
borehole
data.
were
systematically
manipulated
in
GIS
multi-criteria
applications.
novelty
this
model
includes
the
empirical
calculation
level
each
controlling
factor
(i.e.,
weights
rates),
as
well
Model,
adopting
new
factors
its
design.
study
was
applied
representative
Mediterranean
region,
i.e.,
Lebanon.
Results
showed
that
44%
studied
region
characterized
by
very
high
potentiality
storage,
areas
fractured
karstified
carbonate
rocks.
obtained
produced
compared
datasets
which
surveyed
identify
discharge
dug
boreholes,
then
compare
them
reliability
exceeded
87%,
making
tool
investment.
International Journal of Hydrology,
Год журнала:
2024,
Номер
8(5), С. 175 - 193
Опубликована: Янв. 1, 2024
Groundwater
flow
modelling
is
critical
for
managing
groundwater
resources,
particularly
amid
climate
change
and
rising
water
demand.
This
narrative
review
examines
the
role
of
models
in
sustainable
resource
management,
focusing
on
challenges
solutions
to
enhance
model
reliability.
A
key
challenge
data
limitation—especially
regions
like
sub-Saharan
Africa
South
Asia,
where
scarce
hydrogeological
hinders
accurate
calibration.
The
complexity
aquifer
systems,
such
as
karst
aquifers
North
America
fractured-rock
India,
further
complicates
development,
requiring
detailed
geological
complex
simulations.
Additionally,
uncertainties
arise
from
limited
knowledge
properties,
variable
boundary
conditions,
sparse
monitoring
networks,
which
can
reduce
predictability.
Despite
these
obstacles,
are
essential
simulating
behaviour
response
altered
precipitation
patterns,
increasing
extraction
rates,
extreme
events
droughts.
For
instance,
predictive
has
helped
assess
potential
depletion
risks
California’s
Central
Valley
contamination
industrial
zones
East
guiding
strategies
assessments.
To
improve
reliability,
this
emphasizes
need
enhanced
collection,
integration
advanced
technologies—such
artificial
intelligence
machine
learning
accuracy—and
adoption
multidisciplinary
approaches.
These
advancements,
improved
sensor
regional
data-sharing
initiatives
reducing
precision.
Ultimately,
improvements
will
support
adaptation
efforts
promote
management
global
benefiting
managers
policy
makers.
ENVIRONMENTAL SYSTEMS RESEARCH,
Год журнала:
2024,
Номер
13(1)
Опубликована: Ноя. 8, 2024
In
the
south-eastern
region
of
Nigeria,
application
rainfall
(P)
and
runoff
(Q)
data
directly
into
Natural
Resources
Conservation
Service
Curve
Number
(NRCS-CN)
method
hasn't
been
thoroughly
studied.
This
research
aimed
to
determine
representative
values
initial
abstraction
ratio
(λ)
corresponding
curve
number
(CN),
fit
P
Q
using
theoretical
probability
distributions,
establish
confidence
intervals
for
CN.
The
least
squares
minimization
Kolmogorov-Smirnov
test
were
employed
on
from
129
sub-basins
across
4
major
basins.
Findings
revealed
optimal
(λopt)
=
0.24
CN
(CNopt)
80,
with
best
fitted
by
Gamma,
Weibull,
Normal
distributions.
However,
study
was
limited
available
8-year
record
period
96
storm
events.
events
over
an
may
seem
a
humid
tropical
region,
most
comprehensive
reliable
dataset
this
area.
Additional
collection
longer
time
frame
could
enhance
future
studies.
localized
value
associated
can
prediction
accuracy
flood
mitigation
water
resources
management
in
though
further
validation
is
recommended.
