H2Open Journal,
Год журнала:
2024,
Номер
8(1), С. 20 - 41
Опубликована: Дек. 19, 2024
ABSTRACT
Understanding
the
change
dynamics
of
land
use
and
cover
(LULC)
has
a
critical
influence
on
hydrological
characteristics
watershed,
economic
development,
ecological
variation,
climate
changes,
been
used
to
resolve
current
dilemmas
between
land,
water,
energy,
food
sector.
It
is
also
essential
as
observed
reflects
status
environment
provides
input
parameters
for
sustainable
natural
resource
management
optimization.
The
Chamo
catchment
undergone
large
in
LULC
which
increased
soil
erosion
lake
sedimentation.
In
this
paper,
long-term
variations
were
evaluated
using
MODIS
ESRI
Sentinel-2
datasets.
As
result,
significant
variation
was
study
area
from
2001
2022.
Spatial
temporal
two
Based
MODIS,
grassland
dominant
class,
whereas
ESRI,
rangeland
cropland
LULC.
result
policy-makers
stakeholders
water
management,
maintenance,
climatic
adoption
pathways.
findings
provided
evidence
that
are
effective
datasets
detecting
be
applied
different
areas.
Environmental Research,
Год журнала:
2023,
Номер
246, С. 118075 - 118075
Опубликована: Дек. 28, 2023
The
current
investigation
examines
the
effectiveness
of
various
approaches
in
predicting
soil
texture
class
(clay,
silt,
and
sand
contents)
Rawalpindi
district,
Punjab
province,
Pakistan.
employed
techniques
included
artificial
neural
networks
(ANNs),
kriging,
co-kriging,
inverse
distance
weighting
(IDW).
A
total
44
specimens
from
depths
10-15
cm
were
gathered,
then
hydrometer
method
was
adopted
to
measure
their
texture.
map
grain
sets
formulated
ArcGIS
environment,
utilizing
distinct
interpolation
approaches.
MATLAB
software
used
evaluate
gradient
fraction,
latitude
longitude,
elevation,
fragments
points
proposed
an
ANN.
Several
statistical
values,
such
as
correlation
coefficient
(R),
geometric
mean
error
ratios
(GMER),
root
square
(RMSE),
utilized
precision
intended
techniques.
In
assessing
size
spatial
dissemination
clay,
sand,
ANN
superior
compared
weighting.
Still,
less
than
a
50%
observed
using
this
examination,
IDW
had
inferior
other
results
demonstrated
that
practices
produced
acceptable
can
be
for
future
research.
Soil
is
among
most
central
variables
manipulate
agriculture
plans.
prepared
maps
exhibiting
groups
are
imperative
crop
yield
pastoral
scheduling.
Ecological Informatics,
Год журнала:
2023,
Номер
78, С. 102352 - 102352
Опубликована: Ноя. 2, 2023
The
mitigation
of
uncertainties
in
the
identification
natural
systems
is
a
fundamental
aspect
development
hydrological
models,
and
represents
major
challenge
for
improvement
modelling
techniques.
In
particular,
calibration
models
based
on
streamflow
measurements
at
outlet
catchment
exposed
to
significant
sources
uncertainty,
such
as
impact
landscape
features
runoff
generation.
Remote
sensing-based
actual
evapotranspiration
(AET)
data
can
be
incorporated
with
improve
model
accuracy
reduce
uncertainty
modelling,
resulting
enhancement
performance.
selection
right
AET
dataset
crucial
task,
front
availability
multi-source
datasets
that
differ
methods,
parameters,
spatiotemporal
resolution.
Despite
existence
few
studies
proposing
usage
remote
data,
there
lack
systematic
comparisons
between
different
products,
terms
performance
modelling.
This
paper
aims
compare
efficacy
products
improving
simulation
responses,
both
single
multi-variable
scenarios.
this
investigation,
Soil
Water
Assessment
Tool
(SWAT)
was
calibrated
observed
by
experimenting
eight
datasets.
findings
our
study
suggest
incorporation
process
significantly
enhance
reliability
predictions.
Thus,
proposed
approach
contribute
effectiveness
quantitative
tool
management
water
resources.
Another
finding
solely
yields
reasonable
results
streamflow,
which
an
advantageous
promising
feature
ungauged
basins.
