Man and Environment Issues of Neoecology,
Journal Year:
2024,
Volume and Issue:
42, P. 51 - 69
Published: Nov. 28, 2024
Purpose.
To
develop
and
substantiate
the
conceptual
basis
of
a
new
approach
for
ecological
diagnostics
anthropogenic
soil
(land)
pollution
in
“risk-critical
zones”
soil-water
interactions
within
watersheds.
This
aims
to
optimize
integrated
management
system,
enhance
nature
protection,
improve
environmental
safety
Ukraine.
Methods.
System
analysis,
comparative
analysis-synthesis
evaluation
form
targeted
spatial
sampling;
extrapolation
adaptive
transfer
procedural-analytical
approaches
diagnostic
network
selection;
methods
design
visual
representation.
Results.
Based
on
systematic
analysis
publications
from
Google
Scholar,
Scopus,
Web
Science,
Springer,
as
well
domestic
sources
areas
water
assessment
with
identification
vulnerable
(sensitive)
territories
hot
spots,
priority
(APMA)
critical
(CSA),
an
alternative
soil,
surface
groundwater
is
presented,
which
preceded
by
automated
program
search
hydrologically
sensitive
risk
zones
contact
interaction
water,
important
ecosystem
restoration.
The
mechanism
these
focused
most
(hydrologically
territories),
where
under
conditions
can
create
risks
public
health,
starting
scale
individual
territorial
communities.
Conclusions.
Greater
attention
processes
will
allow
controlling
reducing
inter-environmental
pollutants.
proposed
concept
practical
terms
meets
goals
basin
designed
increase
efficiency
land
policies
particularly
elements
managing
ecosystems.
The Science of The Total Environment,
Journal Year:
2025,
Volume and Issue:
960, P. 178347 - 178347
Published: Jan. 1, 2025
The
interactions
between
landscape
structure,
land
use
intensity
(LUI),
climate
change,
and
ecological
processes
significantly
impact
hydrological
processes,
affecting
water
quality.
Monitoring
these
factors
is
crucial
for
understanding
their
influence
on
Remote
sensing
(RS)
provides
a
continuous,
standardized
approach
to
capture
structures,
LUI,
changes
over
long-term
time
series.
In
this
study,
RS-based
indicators
from
Landsat
data
(2018-2021)
were
used
assess
change
study
area
in
northern
Germany,
applying
the
ESIS/Imalys
tool.
These
then
model
predict
quality
(Chl
Sensors,
Journal Year:
2025,
Volume and Issue:
25(1), P. 228 - 228
Published: Jan. 3, 2025
Recent
advancements
in
Earth
Observation
sensors,
improved
accessibility
to
imagery
and
the
development
of
corresponding
processing
tools
have
significantly
empowered
researchers
extract
insights
from
Multisource
Remote
Sensing.
This
study
aims
use
these
technologies
for
mapping
summer
winter
Land
Use/Land
Cover
features
Cuenca
de
la
Laguna
Merín,
Uruguay,
while
comparing
performance
Random
Forests,
Support
Vector
Machines,
Gradient-Boosting
Tree
classifiers.
The
materials
include
Sentinel-2,
Sentinel-1
Shuttle
Radar
Topography
Mission
imagery,
Google
Engine,
training
validation
datasets
quoted
methods
involve
creating
a
multisource
database,
conducting
feature
importance
analysis,
developing
models,
supervised
classification
performing
accuracy
assessments.
Results
indicate
low
significance
microwave
inputs
relative
optical
features.
Short-wave
infrared
bands
transformations
such
as
Normalised
Vegetation
Index,
Surface
Water
Index
Enhanced
demonstrate
highest
importance.
Accuracy
assessments
that
various
classes
is
optimal,
particularly
rice
paddies,
which
play
vital
role
country’s
economy
highlight
significant
environmental
concerns.
However,
challenges
persist
reducing
confusion
between
classes,
regarding
natural
vegetation
versus
seasonally
flooded
vegetation,
well
post-agricultural
fields/bare
land
herbaceous
areas.
Forests
Trees
exhibited
superior
compared
Machines.
Future
research
should
explore
approaches
Deep
Learning
pixel-based
object-based
integration
address
identified
challenges.
These
initiatives
consider
data
combinations,
including
additional
indices
texture
metrics
derived
Grey-Level
Co-Occurrence
Matrix.
Frontiers in Water,
Journal Year:
2025,
Volume and Issue:
7
Published: May 7, 2025
Urban
lakes
provide
crucial
ecological,
social,
and
economic
benefits,
but
rapid
urbanization
land
use
changes
have
significantly
compromised
their
health
sustainability.
This
study
investigates
the
interrelations
among
use,
temperature,
water
quality
in
Vellore
(1997–2024)
to
address
sustainable
development
goals
(SDG)
6.4
(water)
13.3
(climate
resilience).
Satellite
derived
data
revealed
a
direct
correlation
between
reduced
spread
area
(1.82%)
increasing
LSTs,
underscoring
adverse
effects
of
urbanization.
Notably,
64%
dissolved
oxygen
(DO)
samples
surpassed
permissible
limits.
Hardness,
electrical
conductivity
(EC),
total
solids
(TDS)
DO
emerge
as
primary
influencers
Water
Quality
Index
(WQI).
It
was
validated
by
XGBoost
model.
Based
on
WQI
most
lake
classified
“Poor”
for
drinking.
Principle
component
analysis
68%
variance
with
main
factors
LST,
built-up,
vegetative
cover.
Furthermore,
suggesting
that
implementing
30%
green
buffers,
restoring
2–5%
WSA,
adopting
climate-smart
urban
planning
could
lower
LST
1.8°C.
These
science-driven
strategies
align
SDGs
India’s
Smart
Cities
Mission,
offering
pathway
harmonize
ecological
resilience
safeguard
biodiversity
under
changing
climate.
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
945, P. 173924 - 173924
Published: June 15, 2024
Many
of
South
Africa's
current
water
quality
problems
have
been
attributed
to
diffuse
pollution
derived
from
poorly
regulated
land
use/land
cover
(LULC)
transformations.
To
mitigate
these
impacts,
the
preservation
an
adequate
amount
natural
vegetation
within
catchment
areas
is
important
management
strategy.
However,
it
not
clear
how
much
required
provide
levels
protection,
nor
at
which
scale(s)
this
strategy
would
be
most
effective.
investigate
possibility
estimating
minimum
thresholds
protect
resources,
regression
analysis
was
used
model
relationships
between
(measured
using
Nemerow's
Pollution
Index)
and
metrics
multiple
scales
across
a
sample
sub-catchments
located
along
western,
southern,
south-eastern
coast
Africa.
With
conspicuous
outliers
removed,
models
were
able
explain
up
82
%
variability
in
relationship
use
quality.
Moreover,
statistically
significant,
nonlinear,
inverse
found
proportions
levels.
This
strongest
when
measured
(1)
whole
(2)
200
m
riparian
buffer
zone.
The
further
indicated
that
approximately
80
90
necessary
maintain
ecologically
acceptable
Additional
nonlinear
estimated
breakpoint
suggested
if
fall
below
45
(across
catchment)
60
(within
zone)
dramatic
increase
can
expected.
are
recommended
as
guidelines
inform
integrated
resources
strategies
aimed
protecting
study
area.
Likewise,
methods
described
for
estimation
similar
other
regions.
