Land,
Journal Year:
2024,
Volume and Issue:
13(7), P. 1065 - 1065
Published: July 16, 2024
Mining
activities
have
significantly
altered
the
land
use
patterns
of
mining
areas,
exacerbated
degree
landscape
fragmentation,
and
thereby
led
to
loss
biodiversity.
Ecological
networks
been
recognized
as
an
essential
component
for
enhancing
habitat
connectivity
protecting
However,
existing
studies
lack
dynamic
analysis
at
scale
under
multiple
future
scenarios
which
is
adverse
identification
ecological
conservation
regions.
This
study
used
MOP-PLUS
(multi-objective
optimization
problem
patch-level
simulation)
model
simulate
in
balance
ecology
economy
(EEB)
scenario
development
priority
(EDP)
Shendong
coal
base.
Then,
climate
change
were
integrated
into
ecosystem
models
analyze
changes
networks.
Finally,
priorities
constructed,
hotspots
identified
using
mapping
methods.
The
following
results
obtained:
(1)
From
2000
2020,
large
grassland
areas
replaced
by
while
cultivated
was
replenished.
By
2030,
forest
(967.00
km2,
8989.70
km2)
will
reach
their
peaks
mine
area
(356.15
its
nadir
EDP
scenario.
(2)
fragmentation
sources
intensified
(MPS
decreased
from
19.81
km2
18.68
declined
(in
particular,
α
6.58%)
2020.
In
increase,
EEB
be
close
that
(3)
central
southeastern
parts
base
higher
priorities,
urgently
need
strengthened.
offers
guidance
on
addressing
challenges
biodiversity
areas.
Natural Hazards Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 1, 2024
Gully
erosion
is
a
significant
global
threat
to
socioeconomic
and
environmental
sustainability,
making
it
widespread
natural
hazard.
Developing
spatial
models
for
gully
crucial
local
governance
effectively
implement
mitigation
measures
promote
regional
development.
This
study
applied
two
machine
learning
(ML)
models,
RF
XGB,
alongside
an
AHP-based
multi-criteria
decision
method
FR
bivariate
statistics,
assess
susceptibility
(GES)
in
the
Kangsabati
River
basin
eastern
India's
Chotonagpur
plateau
fringe.
A
GIS
database
was
created,
incorporating
recorded
incidents
20
conditioning
variables,
which
were
evaluated
multicollinearity.
These
variables
served
as
predictive
factors
assessing
presence
area.
The
models'
performance
using
metrics
such
RMSE,
MAE,
specificity,
sensitivity,
accuracy.
XGB
model
outperformed
others,
achieving
accuracy
of
90.22%.
found
that
approximately
6.56%
catchment
highly
susceptible
erosion,
with
12.39%
moderately
81.05%
not
susceptible.
had
highest
ROC
value
85.5
during
testing,
indicating
its
superiority
over
(ROC
=
81.7),
AHP
79.8),
83.8)
models.
findings
highlight
model's
efficacy
potential
large-scale
GES
mapping.
Revista Brasileira de Geografia Física,
Journal Year:
2024,
Volume and Issue:
17(4), P. 3037 - 3051
Published: July 23, 2024
The
transport
of
sediments
is
present
in
all
watercourses,
occurring
naturally,
however,
different
ways
and
characteristics.
Its
quantification
watersheds
becomes
extremely
important
for
the
planning
management
water
resources.
sediment
rating
curve,
which
empirically
describes
relationship
between
stream
flow
suspended
concentration
(Css),
an
alternative
tool
to
lack
continuous
monitoring
transport.
aim
this
research
was
evaluate
use
curves
sedimentometric
stations
Rio
Grande
do
Sul,
Brazil.
Three
Css
data
handling
scenarios
were
tested
analytical
fitting
considering
a
power
function
as
follows:
complete
sets,
sets
subdivided
into
10-year
periods
ranges.
approaches
adopted
study
evaluated
taking
reference
58
state.
goodness-of-fit
tests
used
-
coefficient
determination,
Relative
Average
Percentage
Error
Nash
Sutcliffe
coefficient,
indicated
that
best
results
estimation
observed
when
curve
fitted
period
set.
