Land,
Journal Year:
2023,
Volume and Issue:
12(7), P. 1326 - 1326
Published: June 30, 2023
Climate
and
land
use
changes
impact
catchment
hydrology
water
quality
(WQ),
yet
few
studies
have
investigated
the
amount
of
required
to
meet
specific
WQ
targets
under
future
climate
projections.
The
aim
this
study
was
determine
streamflow
nutrient
load
responses
change
(LUC)
scenarios.
We
hypothesized
that
(1)
increasing
forest
coverage
would
decrease
loads,
(2)
change,
with
higher
temperatures
more
intense
storms,
lead
increased
flow
(3)
LUC
could
moderate
potential
increases
associated
change.
tested
these
hypotheses
Soil
Water
Assessment
Tool
(SWAT),
which
applied
a
lake
in
New
Zealand,
where
strategies
afforestation
are
employed
address
objectives.
model
calibrated
from
2002
2005
validated
2006
2010
using
measured
(Q)
total
nitrogen
(TN),
phosphorus
(TP),
nitrate
(NO3-N),
ammonium
(NH4-N)
concentrations
three
streams
catchment.
performance
across
monitored
evaluated
coefficient
determination
(R2)
Nash–Sutcliffe
efficiency
(NSE)
metrics
provide
basis
for
Future
scenarios
incorporated
(CC)
based
on
Representative
Concentration
Pathway
8.5
were
compared
baseline
indicators.
Consistent
our
hypotheses,
Q,
TN,
TP
loads
predicted
afforestation.
Specifically,
1.32
km2
one
stream
sub-catchments
(subbasin
3),
or
8.8%
area,
result
reductions
11.9,
26.2,
17.7%
modeled
annual
mean
respectively.
Furthermore,
when
comparing
simulations
projected
climate,
13.6,
22.8,
19.5%
observed
Notably,
combined
implementation
CC
further
decreased
by
20.2,
36.7,
28.5%,
This
provides
valuable
insights
into
utilization
mitigate
lakes
facing
challenges,
findings
serve
as
prototype
other
catchments
undergoing
LUC.
Contrary
initial
we
found
precipitation
did
not
loading.
Hydrological Sciences Journal,
Journal Year:
2021,
Volume and Issue:
66(8), P. 1321 - 1336
Published: May 21, 2021
This
paper
investigates
climate
change
impacts
on
the
hydrology
and
water
quality
of
Brazilian
semi-arid
reservoirs.
An
integrated
approach
coupling
climate,
hydrological
models
was
proposed.
Five
general
circulation
(GCMs)
two
future
scenarios
(SSP2-4.5
SSP5-8.5)
were
used
for
projections.
The
simulations
showed
that
uncertainty
in
forecast
significantly
impacted
outputs.
Some
revealed
a
strong
decrease
streamflow
storage
volume.
On
other
hand,
40%
multi-GCM
projections
indicated
reservoir
eutrophication.
under
SSP5-8.5
more
significant
than
those
SSP2-4.5.
results
also
drought
events
may
be
prolonged
change,
principally
at
end
21st
century
SSP5-8.5,
increase
total
phosphorus
concentration.
suggests
tropical
reservoirs
could
vulnerable
to
eutrophication
regions.
Environmental Reviews,
Journal Year:
2022,
Volume and Issue:
31(1), P. 4 - 25
Published: July 21, 2022
This
study
is
a
meta-analysis
of
global
articles
on
hydrological
nutrient
dynamics
to
determine
trends
and
consensus
on:
(1)
the
effects
climate
change-induced
temperature
drivers
how
these
vary
along
catchment
continuum
from
land
river
lake;
(2)
convergence
change
impacts
with
other
anthropogenic
pressures
(agriculture,
urbanization)
in
dynamics;
(3)
regional
variability
water-quality
impairment
across
different
zones.
An
innovative
web
crawler
tool
was
employed
help
critically
synthesize
information
literature.
The
literature
suggests
that
will
impact
around
globe
exacerbate
contemporary
challenges.
Nutrient
leaching
overland
flow
transport
are
projected
increase
globally,
promoted
by
extreme
precipitation.
Seasonal
variations
streamflow
expected
emulate
changing
precipitation
patterns,
but
specific
local
hydrology
both
seasonally
regionally.
Plant
activity
may
reduce
some
this
load
nonagricultural
soils
if
plant
uptake
nutrients
prompted
increased
temperatures
can
compensate
for
greater
nitrogen
(N)
phosphorus
(P)
mineralization,
N
deposition,
rates.
High-temperature
forest
grass
fires
mineralization
microbial
turnover
altering
speciation
via
pyrolysis
organic
matter.
In
agricultural
areas
at
higher
risk
erosion,
existing
issues,
lead
an
fertilizer
use.
Future
urban
expansion
amplify
effects.
Higher
ambient
promote
harmful
cyanobacterial
blooms
enhancing
thermal
stratification,
increasing
into
streams
lakes
events,
decreasing
summer
thus
baseflow
dilution
capacity,
water
residence
times
during
increasingly
frequent
droughts.
Land
management
decisions
must
consider
nuanced
seasonal
changes
identified
review
(realized
predicted).
Such
knowledge
critical
international
cooperation
accelerating
action
toward
United
Nations’s
sustainability
goals
objectives
Conference
Parties
(COP)
26.
Environmental and Sustainability Indicators,
Journal Year:
2024,
Volume and Issue:
23, P. 100445 - 100445
Published: July 30, 2024
Deforestation
in
the
form
of
forest
land
use
change
(FLUC)
increases
emission
greenhouse
gases,
disrupts
water
cycle,
dries
soil,
and
reduces
growth
plant
products.
This
has
a
direct
effect
on
well-being
local
communities
whose
livelihoods
depend
threatens
biodiversity.
The
systematic
review
aimed
to
analyze
studies
conducted
effects
FLUC
biodiversity
ecosystem
services
(BECS)
human
(HWB)
communities.
study
utilized
qualitative
content
analysis
(QCA)
based
deductive
approach,
which
reviewed
114
scientific
documents,
particularly
research
articles,
selected
by
searching
keywords
through
purposeful
sampling
method.
indicators
two
groups
dominant
morphology
(intensity,
scale,
pattern,
usage)
recessive
(function,
property
rights,
management
mode)
had
172
repetitions
articles.
Moreover,
BECS
criteria
(regulating,
provisioning,
supportive,
cultural
services)
HWB
(items
related
Maslow's
hierarchy
needs,
subjective
well-being,
objective
preferences)
125
148
repetitions,
respectively.
Results
confirm
relationship
HWB,
emphasizes
mutual
role
these
variables
social,
economic,
environmental
future
programs.
An
increase
can
decline
performance
structure
have
negative
impact
those
who
forest.
Findings
are
presented
model
that
provides
comprehensive
understanding
relationships
between
FLUC,
BECS,
for
relevant
decision
makers.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 36421 - 36451
Published: Jan. 1, 2023
The
complex
interactions
from
anthropogenic
activities,
climate
change,
sedimentation
and
the
input
of
wastewater
has
significantly
affected
aquatic
environment
entire
ecosystem.
Over
years,
researchers
have
investigated
water
monitoring
approaches
in
terms
traditional
or
even
integrated
systems
to
handle
such
an
environmental
assessment
predictions
based
on
warning
systems.
However,
research
into
selection
optimisation
by
combination
parallel
approach
sampling
techniques,
process
analysis
results
is
limited.
objectives
present
study
are
evaluate
existing
latest
then
provide
insights
factors
affecting
sensor
implementation
at
locations.
Here
we
summarize
advancement
trends
various
as
well
suitability
placement
area
reviewing
more
than
300
papers
published
between
2011
2022.
highlights
urgency
integrative
with
regard
including
quality
model
quantity
model.
A
framework
proposed
incorporate
all
approaches,
predictive
models
comprehensive
information
about
assessment.
It
was
observed
that
model-based
verification
fusion
data
assemble
ability
improve
performances
Furthermore,
inclusion
a
separate
modeling
through
-
semi-mechanistic
models,
science
artificial
intelligence
recommended
future.
Overall,
this
provides
guidelines
for
achieving
standardized
management
implementing